{"id":4139,"date":"2023-04-18T11:27:51","date_gmt":"2023-04-18T14:27:51","guid":{"rendered":"https:\/\/elemarjr.com\/clube-de-estudos\/?p=4139"},"modified":"2023-10-21T21:40:20","modified_gmt":"2023-10-22T00:40:20","slug":"algoritmo-de-dijkstra-entendendo-o-caminho-minimo-em-grafos-ponderados","status":"publish","type":"artigos","link":"https:\/\/elemarjr.com\/clube-de-estudos\/artigos\/algoritmo-de-dijkstra-entendendo-o-caminho-minimo-em-grafos-ponderados\/","title":{"rendered":"Algoritmo de Dijkstra: entendendo o caminho m\u00ednimo em grafos ponderados"},"content":{"rendered":"\n<p>Hoje vamos falar sobre um algoritmo bastante \u00fatil para desenvolvedores de software: o algoritmo de Dijkstra. Neste artigo, vou explicar o que \u00e9, qual a sua hist\u00f3ria, como funciona, exemplos de implementa\u00e7\u00e3o e por que \u00e9 importante um desenvolvedor de software ter esse conhecimento.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">O que \u00e9 o algoritmo de Dijkstra?<\/h2>\n\n\n\n<p>O algoritmo de Dijkstra \u00e9 um algoritmo de caminho m\u00ednimo usado em grafos. Ele \u00e9 usado para encontrar o caminho mais curto entre dois v\u00e9rtices em um grafo ponderado, onde os pesos s\u00e3o associados \u00e0s arestas.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"283\" height=\"222\" src=\"https:\/\/elemarjr.com\/clube-de-estudos\/wp-content\/uploads\/2023\/04\/Dijkstra_Animation.gif\" alt=\"\" class=\"wp-image-4364\"\/><figcaption class=\"wp-element-caption\">Execu\u00e7\u00e3o do algoritmo de Dijkstra &#8211; Fonte: <a href=\"https:\/\/pt.wikipedia.org\/wiki\/Algoritmo_de_Dijkstra\" target=\"_blank\" rel=\"noreferrer noopener\">Wikipedia<\/a><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Qual a sua hist\u00f3ria?<\/h2>\n\n\n\n<p>O algoritmo de Dijkstra foi criado pelo matem\u00e1tico holand\u00eas Edsger W. Dijkstra em 1956. Ele foi desenvolvido originalmente para resolver problemas de roteamento em redes de telecomunica\u00e7\u00f5es, mas rapidamente se tornou uma ferramenta importante em muitas outras \u00e1reas, como em sistemas de navega\u00e7\u00e3o, log\u00edstica e em diversas outras \u00e1reas.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Como funciona?<\/h2>\n\n\n\n<p>O algoritmo de Dijkstra funciona atrav\u00e9s da constru\u00e7\u00e3o de uma \u00e1rvore de caminho m\u00ednimo. Ele come\u00e7a com um v\u00e9rtice inicial e, em seguida, explora todos os seus vizinhos, atualizando o custo para alcan\u00e7ar cada um deles. Em seguida, o algoritmo seleciona o v\u00e9rtice com o custo mais baixo e repete o processo. Dessa forma, ele constr\u00f3i uma \u00e1rvore de caminho m\u00ednimo que representa o caminho mais curto para cada v\u00e9rtice no grafo em rela\u00e7\u00e3o ao v\u00e9rtice inicial.<\/p>\n\n\n\n<p>Vamos entender melhor com um exemplo de implementa\u00e7\u00e3o:<\/p>\n\n\n\n<p>Suponha que temos um grafo ponderado com os seguintes v\u00e9rtices e arestas:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>V\u00e9rtices: A, B, C, D, E<\/code><\/li>\n\n\n\n<li><code>Arestas: (A,B,3), (A,C,2), (B,C,1), (B,D,5), (C,D,3), (C,E,6), (D,E,4)<\/code><\/li>\n<\/ul>\n\n\n\n<p>Se quisermos encontrar o caminho mais curto entre os v\u00e9rtices A e E, podemos aplicar o algoritmo de Dijkstra da seguinte maneira:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>Come\u00e7amos com o v\u00e9rtice A, cujo custo \u00e9 0.<\/code><\/li>\n\n\n\n<li><code>Exploramos os vizinhos de A (B e C) e atualizamos seus custos: o custo para chegar a B \u00e9 3 (A -&gt; B), e o custo para chegar a C \u00e9 2 (A -&gt; C).<\/code><\/li>\n\n\n\n<li><code>Selecionamos o v\u00e9rtice com o menor custo, que \u00e9 C, e exploramos seus vizinhos (D e E). Atualizamos o custo para chegar a D (A -&gt; C -&gt; D) para 5 e o custo para chegar a E (A -&gt; C -&gt; E) para 8.<\/code><\/li>\n\n\n\n<li><code>Selecionamos o v\u00e9rtice com o menor custo, que \u00e9 B, e exploramos seu vizinho D. Atualizamos o custo para chegar a D (A -&gt; B -&gt; D) para 8.<\/code><\/li>\n\n\n\n<li><code>Selecionamos o v\u00e9rtice com o menor custo, que \u00e9 D, e exploramos seu vizinho E. Atualizamos o custo para chegar a E (A -&gt; B -&gt; D -&gt; E) para 12.<\/code><\/li>\n<\/ul>\n\n\n\n<p>Assim, o caminho mais curto entre A e E \u00e9 A -&gt; C -&gt; D<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Exemplo de implementa\u00e7\u00e3o em C#<\/h3>\n\n\n\n<p>Segue abaixo um exemplo simples de implementa\u00e7\u00e3o do Algoritmo de Dijkstra em C#. Este c\u00f3digo usa uma matriz de adjac\u00eancia para representar o grafo ponderado e um vetor de dist\u00e2ncias para armazenar os custos m\u00ednimos de cada v\u00e9rtice em rela\u00e7\u00e3o ao v\u00e9rtice inicial. O c\u00f3digo tamb\u00e9m usa um vetor de visitados para garantir que cada v\u00e9rtice seja visitado apenas uma vez.<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" style=\"font-size:.875rem;line-height:1.25rem\"><span style=\"display:flex;align-items:center;padding:10px 0px 10px 16px;margin-bottom:-2px;width:100%;text-align:left;background-color:#39404f;color:#c8d0e0\">C#<\/span><span role=\"button\" tabindex=\"0\" data-code=\"using System;\n\npublic class DijkstraAlgorithm {\n    private static int V = 5; \/\/ n\u00famero de v\u00e9rtices\n\n    \/\/ Fun\u00e7\u00e3o auxiliar para encontrar o \u00edndice do v\u00e9rtice com o menor custo \n    private int MinimumDistance(int[] distances, bool[] visited) {\n        int min = int.MaxValue;\n        int minIndex = -1;\n\n        for (int v = 0; v &lt; V; v++)\n        {\n            if (visited[v] == false &amp;&amp; distances[v] &lt;= min) {\n                min = distances[v];\n                minIndex = v;\n            }\n        }\n\n        return minIndex;\n    }\n\n    \/\/ Fun\u00e7\u00e3o para imprimir o caminho m\u00ednimo entre o v\u00e9rtice inicial e o v\u00e9rtice destino\n    private void PrintPath(int[] distances, int[] parent, int source, int destination) {\n        Console.Write(&quot;Caminho m\u00ednimo entre {0} e {1}: &quot;, source, destination);\n\n        int crawl = destination;\n        Console.Write(crawl);\n\n        while (parent[crawl] != -1) {\n            Console.Write(&quot; &lt;- {0}&quot;, parent[crawl]);\n            crawl = parent[crawl];\n        }\n\n        Console.WriteLine(&quot;\\nCusto total: {0}&quot;, distances[destination]);\n    }\n\n    \/\/ Fun\u00e7\u00e3o para implementar o Algoritmo de Dijkstra\n    public void Dijkstra(int[,] graph, int source, int destination) {\n        int[] distances = new int[V]; \/\/ vetor para armazenar as dist\u00e2ncias m\u00ednimas\n        bool[] visited = new bool[V]; \/\/ vetor para marcar os v\u00e9rtices visitados\n        int[] parent = new int[V]; \/\/ vetor para armazenar os pais dos v\u00e9rtices\n\n        \/\/ Inicializa os valores das dist\u00e2ncias, visitados e pais\n        for (int i = 0; i &lt; V; i++)\n        {\n            distances[i] = int.MaxValue;\n            visited[i] = false;\n            parent[i] = -1;\n        }\n\n        distances[source] = 0; \/\/ a dist\u00e2ncia do v\u00e9rtice inicial \u00e9 sempre 0\n\n        \/\/ Encontra o caminho m\u00ednimo para todos os v\u00e9rtices\n        for (int count = 0; count &lt; V - 1; count++)\n        {\n            int u = MinimumDistance(distances, visited);\n            visited[u] = true;\n\n            for (int v = 0; v &lt; V; v++)\n            {\n                if (!visited[v] &amp;&amp; graph[u, v] != 0 &amp;&amp; distances[u] != int.MaxValue &amp;&amp; distances[u] + graph[u, v] &lt; distances[v]) {\n                    distances[v] = distances[u] + graph[u, v];\n                    parent[v] = u;\n                }\n            }\n        }\n\n        \/\/ Imprime o caminho m\u00ednimo entre o v\u00e9rtice inicial e o v\u00e9rtice destino\n        PrintPath(distances, parent, source, destination);\n    }\n\n    \/\/ Fun\u00e7\u00e3o principal para testar o algoritmo\n    public static void Main() {\n        int[,] graph = new int[,] {\n            { 0, 3, 2, 0, 0 }, { 3, 0, 1, 5, 0 }, {\n                2\n                    , 1, 3, 6\n            }, { 0, 5, 3, 0, 4 }, { 0, 0, 6, 4, 0 }\n        };\nint source = 0;\nint destination = 4;\n    DijkstraAlgorithm dijkstra = new DijkstraAlgorithm();\n        dijkstra.Dijkstra(graph, source, destination);\n    }\n}\n\n\/\/ Fonte: Chat GPT\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\"><code><span class=\"line\"><span style=\"color: #81A1C1\">using<\/span><span style=\"color: #D8DEE9FF\"> System<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">class<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">DijkstraAlgorithm<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">static<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> V <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\">\/\/ n\u00famero de v\u00e9rtices<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">    <\/span><span style=\"color: #616E88\">\/\/ Fun\u00e7\u00e3o auxiliar para encontrar o \u00edndice do v\u00e9rtice com o menor custo <\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">MinimumDistance<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">bool<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> visited<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> min <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">int<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">MaxValue<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> minIndex <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> v <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">false<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">min<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #D8DEE9\">min<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #D8DEE9\">minIndex<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">return<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">minIndex<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">    <\/span><span style=\"color: #616E88\">\/\/ Fun\u00e7\u00e3o para imprimir o caminho m\u00ednimo entre o v\u00e9rtice inicial e o v\u00e9rtice destino<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">void<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">PrintPath<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">Console<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">Write<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">Caminho m\u00ednimo entre {0} e {1}: <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> crawl <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">Console<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">Write<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9\">crawl<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">while<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">Console<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">Write<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\"> &lt;- {0}<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">crawl<\/span><span style=\"color: #ECEFF4\">])<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">crawl<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">Console<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">WriteLine<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #EBCB8B\">\\n<\/span><span style=\"color: #A3BE8C\">Custo total: {0}<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">])<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">    <\/span><span style=\"color: #616E88\">\/\/ Fun\u00e7\u00e3o para implementar o Algoritmo de Dijkstra<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">void<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">Dijkstra<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[,]<\/span><span style=\"color: #D8DEE9FF\"> graph<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> distances <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\">\/\/ vetor para armazenar as dist\u00e2ncias m\u00ednimas<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">bool<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> visited <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">bool<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\">\/\/ vetor para marcar os v\u00e9rtices visitados<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> parent <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\">\/\/ vetor para armazenar os pais dos v\u00e9rtices<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">        <\/span><span style=\"color: #616E88\">\/\/ Inicializa os valores das dist\u00e2ncias, visitados e pais<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> i <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">i<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">i<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">i<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">int<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">MaxValue<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">i<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">false;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">i<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\">\/\/ a dist\u00e2ncia do v\u00e9rtice inicial \u00e9 sempre 0<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">        <\/span><span style=\"color: #616E88\">\/\/ Encontra o caminho m\u00ednimo para todos os v\u00e9rtices<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> count <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">count<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">count<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> u <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">MinimumDistance<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">true;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> v <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">!<\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">int<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">MaxValue<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">])<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">        <\/span><span style=\"color: #616E88\">\/\/ Imprime o caminho m\u00ednimo entre o v\u00e9rtice inicial e o v\u00e9rtice destino<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #88C0D0\">PrintPath<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">    <\/span><span style=\"color: #616E88\">\/\/ Fun\u00e7\u00e3o principal para testar o algoritmo<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">static<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">void<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">Main<\/span><span style=\"color: #ECEFF4\">()<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[,]<\/span><span style=\"color: #D8DEE9FF\"> graph <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[,]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #B48EAD\">2<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">6<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">6<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> source <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> destination <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    DijkstraAlgorithm dijkstra <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> DijkstraAlgorithm<\/span><span style=\"color: #ECEFF4\">()<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">dijkstra<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">Dijkstra<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\">\/\/ Fonte: Chat GPT<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>Neste exemplo, a fun\u00e7\u00e3o <code>Dijkstra()<\/code> implementa o algoritmo de Dijkstra usando a matriz de adjac\u00eancia <code>graph<\/code>, o v\u00e9rtice inicial <code>source<\/code> e o v\u00e9rtice destino <code>destination<\/code>. A fun\u00e7\u00e3o <code>PrintPath()<\/code> imprime o caminho m\u00ednimo entre o v\u00e9rtice inicial e o v\u00e9rtice destino, juntamente com o custo total desse caminho.<\/p>\n\n\n\n<p>O programa principal cria uma matriz de adjac\u00eancia para representar o grafo, define o v\u00e9rtice inicial e o v\u00e9rtice destino e chama a fun\u00e7\u00e3o <code>Dijkstra()<\/code> para encontrar o caminho m\u00ednimo entre esses v\u00e9rtices. O resultado \u00e9 impresso no console.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Exemplo de implementa\u00e7\u00e3o em Python<\/h3>\n\n\n\n<p>Segue abaixo uma poss\u00edvel implementa\u00e7\u00e3o do algoritmo de Dijkstra em Python, com base no c\u00f3digo C# anterior:<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" style=\"font-size:.875rem;line-height:1.25rem\"><span style=\"display:flex;align-items:center;padding:10px 0px 10px 16px;margin-bottom:-2px;width:100%;text-align:left;background-color:#39404f;color:#c8d0e0\">Python<\/span><span role=\"button\" tabindex=\"0\" data-code=\"import sys\n\nclass DijkstraAlgorithm:\n    def __init__(self, vertices):\n        self.V = vertices\n        self.graph = [[0 for column in range(vertices)] for row in range(vertices)]\n\n    def minimum_distance(self, distances, visited):\n        min_distance = sys.maxsize\n        min_index = -1\n\n        for v in range(self.V):\n            if not visited[v] and distances[v] &lt;= min_distance:\n                min_distance = distances[v]\n                min_index = v\n\n        return min_index\n\n    def print_path(self, distances, parent, source, destination):\n        print(f&quot;Caminho m\u00ednimo entre {source} e {destination}: &quot;, end='')\n        crawl = destination\n        print(crawl, end='')\n\n        while parent[crawl] != -1:\n            print(f&quot; &lt;- {parent[crawl]}&quot;, end='')\n            crawl = parent[crawl]\n\n        print(f&quot;\\nCusto total: {distances[destination]}&quot;)\n\n    def dijkstra(self, source, destination):\n        distances = [sys.maxsize] * self.V\n        visited = [False] * self.V\n        parent = [-1] * self.V\n\n        distances[source] = 0\n\n        for count in range(self.V - 1):\n            u = self.minimum_distance(distances, visited)\n            visited[u] = True\n\n            for v in range(self.V):\n                if not visited[v] and self.graph[u][v] != 0 and distances[u] != sys.maxsize and distances[u] + self.graph[u][v] &lt; distances[v]:\n                    distances[v] = distances[u] + self.graph[u][v]\n                    parent[v] = u\n\n        self.print_path(distances, parent, source, destination)\n\n\n# Programa principal para testar o algoritmo\nif __name__ == &quot;__main__&quot;:\n    vertices = 5\n    graph = [[0, 3, 2, 0, 0], [3, 0, 1, 5, 0], [2, 1, 0, 3, 6], [0, 5, 3, 0, 4], [0, 0, 6, 4, 0]]\n    source = 0\n    destination = 4\n\n    dijkstra = DijkstraAlgorithm(vertices)\n    dijkstra.graph = graph\n\n    dijkstra.dijkstra(source, destination)\n\n# Fonte: Chat GPT\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\"><code><span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> sys<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">class<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">DijkstraAlgorithm<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">def<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">__init__<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">vertices<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> vertices<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">graph <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[[<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> column <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">range<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">vertices<\/span><span style=\"color: #ECEFF4\">)]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> row <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">range<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">vertices<\/span><span style=\"color: #ECEFF4\">)]<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">def<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">minimum_distance<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        min_distance <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> sys<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">maxsize<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        min_index <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> v <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">range<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">not<\/span><span style=\"color: #D8DEE9FF\"> visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">and<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;=<\/span><span style=\"color: #D8DEE9FF\"> min_distance<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                min_distance <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                min_index <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> v<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">return<\/span><span style=\"color: #D8DEE9FF\"> min_index<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">def<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">print_path<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&quot;Caminho m\u00ednimo entre <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">source<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\"> e <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">destination<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">: &quot;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">end<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        crawl <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">end<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">while<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&quot; &lt;- <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">&quot;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">end<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            crawl <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&quot;<\/span><span style=\"color: #EBCB8B\">\\n<\/span><span style=\"color: #A3BE8C\">Custo total: <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">destination<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">&quot;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">def<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">dijkstra<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        distances <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">sys<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">maxsize<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">*<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        visited <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #81A1C1\">False<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">*<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        parent <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">*<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">source<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> count <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">range<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            u <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">minimum_distance<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> visited<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">True<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> v <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">range<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">not<\/span><span style=\"color: #D8DEE9FF\"> visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">and<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">and<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> sys<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">maxsize <\/span><span style=\"color: #81A1C1\">and<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> u<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">self<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">print_path<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Programa principal para testar o algoritmo<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> __name__ <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">__main__<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    vertices <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    graph <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[[<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">6<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">6<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">]]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    source <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    destination <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    dijkstra <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">DijkstraAlgorithm<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">vertices<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    dijkstra<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">graph <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> graph<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    dijkstra<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">dijkstra<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Fonte: Chat GPT<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>Nesta implementa\u00e7\u00e3o, a classe <code>DijkstraAlgorithm<\/code> possui m\u00e9todos semelhantes ao c\u00f3digo em C#. A fun\u00e7\u00e3o <code>minimum_distance()<\/code> encontra o v\u00e9rtice n\u00e3o visitado com a menor dist\u00e2ncia. A fun\u00e7\u00e3o <code>print_path()<\/code> imprime o caminho m\u00ednimo e o custo total. A fun\u00e7\u00e3o <code>dijkstra()<\/code> implementa o algoritmo de Dijkstra propriamente dito.<\/p>\n\n\n\n<p>No programa principal, criamos uma matriz de adjac\u00eancia <code>graph<\/code> para representar o grafo ponderado, definimos o v\u00e9rtice inicial <code>source<\/code> e o v\u00e9rtice destino <code>destination<\/code>, e chamamos o m\u00e9todo <code>dijkstra()<\/code> para encontrar o caminho m\u00ednimo entre eles. O resultado \u00e9 impresso no console.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Exemplo de implementa\u00e7\u00e3o em Java<\/h3>\n\n\n\n<p>Segue abaixo uma poss\u00edvel implementa\u00e7\u00e3o do algoritmo de Dijkstra em Java, com base no c\u00f3digo C# original:<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" style=\"font-size:.875rem;line-height:1.25rem\"><span style=\"display:flex;align-items:center;padding:10px 0px 10px 16px;margin-bottom:-2px;width:100%;text-align:left;background-color:#39404f;color:#c8d0e0\">Java<\/span><span role=\"button\" tabindex=\"0\" data-code=\"public class DijkstraAlgorithm {\n    private int V;\n    private int[][] graph;\n\n    public DijkstraAlgorithm(int vertices) {\n        V = vertices;\n        graph = new int[V][V];\n    }\n\n    private int minimumDistance(int[] distances, boolean[] visited) {\n        int minDistance = Integer.MAX_VALUE;\n        int minIndex = -1;\n\n        for (int v = 0; v &lt; V; v++) {\n            if (!visited[v] &amp;&amp; distances[v] &lt;= minDistance) {\n                minDistance = distances[v];\n                minIndex = v;\n            }\n        }\n\n        return minIndex;\n    }\n\n    private void printPath(int[] distances, int[] parent, int source, int destination) {\n        System.out.print(&quot;Caminho m\u00ednimo entre &quot; + source + &quot; e &quot; + destination + &quot;: &quot;);\n        int crawl = destination;\n        System.out.print(crawl);\n\n        while (parent[crawl] != -1) {\n            System.out.print(&quot; &lt;- &quot; + parent[crawl]);\n            crawl = parent[crawl];\n        }\n\n        System.out.println(&quot;\\nCusto total: &quot; + distances[destination]);\n    }\n\n    public void dijkstra(int source, int destination) {\n        int[] distances = new int[V];\n        boolean[] visited = new boolean[V];\n        int[] parent = new int[V];\n\n        for (int i = 0; i &lt; V; i++) {\n            distances[i] = Integer.MAX_VALUE;\n            visited[i] = false;\n            parent[i] = -1;\n        }\n\n        distances[source] = 0;\n\n        for (int count = 0; count &lt; V - 1; count++) {\n            int u = minimumDistance(distances, visited);\n            visited[u] = true;\n\n            for (int v = 0; v &lt; V; v++) {\n                if (!visited[v] &amp;&amp; graph[u][v] != 0 &amp;&amp; distances[u] != Integer.MAX_VALUE &amp;&amp; distances[u] + graph[u][v] &lt; distances[v]) {\n                    distances[v] = distances[u] + graph[u][v];\n                    parent[v] = u;\n                }\n            }\n        }\n\n        printPath(distances, parent, source, destination);\n    }\n\n    \/\/ Programa principal para testar o algoritmo\n    public static void main(String[] args) {\n        int vertices = 5;\n        int[][] graph = {{0, 3, 2, 0, 0}, {3, 0, 1, 5, 0}, {2, 1, 0, 3, 6}, {0, 5, 3, 0, 4}, {0, 0, 6, 4, 0}};\n        int source = 0;\n        int destination = 4;\n\n        DijkstraAlgorithm dijkstra = new DijkstraAlgorithm(vertices);\n        dijkstra.graph = graph;\n\n        dijkstra.dijkstra(source, destination);\n    }\n}\n\n\/\/ Fonte: Chat GPT\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\"><code><span class=\"line\"><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">class<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">DijkstraAlgorithm<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">V<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[][]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">DijkstraAlgorithm<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">vertices<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        V <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> vertices<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        graph <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">minimumDistance<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">boolean<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">minDistance<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">Integer<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">MAX_VALUE<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">minIndex<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> v <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> V<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> v<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">!<\/span><span style=\"color: #D8DEE9FF\">visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;=<\/span><span style=\"color: #D8DEE9FF\"> minDistance<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                minDistance <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                minIndex <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> v<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">return<\/span><span style=\"color: #D8DEE9FF\"> minIndex<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">private<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">void<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">printPath<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">System<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">out<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">Caminho m\u00ednimo entre <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> source <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\"> e <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> destination <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">: <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">crawl<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">System<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">out<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">while<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #D8DEE9\">System<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">out<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\"> &lt;- <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">])<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            crawl <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">crawl<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">System<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">out<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">println<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #EBCB8B\">\\n<\/span><span style=\"color: #A3BE8C\">Custo total: <\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">destination<\/span><span style=\"color: #ECEFF4\">])<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">void<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">dijkstra<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">distances<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">boolean<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">visited<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">boolean<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">parent<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">V<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">i<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> i <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> V<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> i<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">i<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">Integer<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">MAX_VALUE<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">i<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">false;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">i<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">source<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">count<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> count <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> V <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> count<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">u<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">minimumDistance<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> visited<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">true;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">v<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> v <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> V<\/span><span style=\"color: #81A1C1\">;<\/span><span style=\"color: #D8DEE9FF\"> v<\/span><span style=\"color: #81A1C1\">++<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">!<\/span><span style=\"color: #D8DEE9FF\">visited<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">Integer<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">MAX_VALUE<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&amp;&amp;<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&lt;<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">])<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> distances<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> graph<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">u<\/span><span style=\"color: #ECEFF4\">][<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    parent<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">v<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> u<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #88C0D0\">printPath<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">distances<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> parent<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">    <\/span><span style=\"color: #616E88\">\/\/ Programa principal para testar o algoritmo<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">public<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">static<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">void<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">main<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #8FBCBB\">String<\/span><span style=\"color: #ECEFF4\">[]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">args<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">vertices<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #ECEFF4\">[][]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{{<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">6<\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">},<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">6<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">}}<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">source<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">int<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">destination<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #8FBCBB\">DijkstraAlgorithm<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">dijkstra<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">new<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">DijkstraAlgorithm<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">vertices<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">dijkstra<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">graph<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> graph<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #D8DEE9\">dijkstra<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">dijkstra<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">source<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> destination<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #81A1C1\">;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\">\/\/ Fonte: Chat GPT<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>Nesta implementa\u00e7\u00e3o, a classe <code>DijkstraAlgorithm<\/code> \u00e9 semelhante \u00e0s implementa\u00e7\u00f5es em C# e Python. A fun\u00e7\u00e3o <code>minimumDistance()<\/code> encontra o v\u00e9rtice n\u00e3o visitado com a menor dist\u00e2ncia. A fun\u00e7\u00e3o <code>printPath()<\/code> imprime o caminho m\u00ednimo e o custo total. A fun\u00e7\u00e3o <code>dijkstra()<\/code> implementa o algoritmo de Dijkstra propriamente dito.<\/p>\n\n\n\n<p>No programa principal, criamos uma matriz de adjac\u00eancia <code>graph<\/code> para representar o grafo ponderado, definimos o v\u00e9rtice inicial <code>source<\/code> e o v\u00e9rtice destino <code>destination<\/code>, e chamamos o m\u00e9todo <code>dijkstra()<\/code> para encontrar o caminho m\u00ednimo entre eles. O resultado \u00e9 impresso no console.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Como o Algoritmo de Dijkstra pode ajudar empresas a resolver seus problemas de neg\u00f3cio?<\/h2>\n\n\n\n<p>O Algoritmo de Dijkstra \u00e9 uma ferramenta muito \u00fatil para empresas que lidam com problemas que envolvem encontrar o caminho mais curto ou mais barato entre dois pontos em um grafo ponderado.<\/p>\n\n\n\n<p>Por exemplo, imagine uma empresa que precisa planejar a log\u00edstica de entrega de seus produtos para diferentes regi\u00f5es do pa\u00eds. Para isso, \u00e9 necess\u00e1rio determinar a rota mais eficiente para cada regi\u00e3o, levando em considera\u00e7\u00e3o a dist\u00e2ncia percorrida e os custos envolvidos.<\/p>\n\n\n\n<p>Usando o Algoritmo de Dijkstra, a empresa pode modelar o problema como um grafo ponderado, onde os v\u00e9rtices representam as cidades e as arestas representam as estradas entre elas, com pesos que indicam a dist\u00e2ncia ou o custo da rota. Em seguida, \u00e9 poss\u00edvel executar o algoritmo para encontrar o caminho mais curto ou mais barato de uma cidade de origem para todas as outras.<\/p>\n\n\n\n<p>Outro exemplo \u00e9 uma empresa que precisa otimizar as rotas de atendimento de seus t\u00e9cnicos de campo. Novamente, o problema pode ser modelado como um grafo ponderado, onde os v\u00e9rtices representam os clientes a serem atendidos e as arestas representam as dist\u00e2ncias entre eles. <\/p>\n\n\n\n<p>Usando o Algoritmo de Dijkstra, a empresa pode encontrar a rota mais eficiente para cada t\u00e9cnico, levando em considera\u00e7\u00e3o a dist\u00e2ncia percorrida e o tempo gasto.<\/p>\n\n\n\n<p>Como consultor de tecnologia, j\u00e1 pude ajudar empresas a resolver problemas de neg\u00f3cio complexos usando o Algoritmo de Dijkstra. \u00c9 uma ferramenta muito poderosa e flex\u00edvel, que pode ser aplicada em uma grande variedade de situa\u00e7\u00f5es.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Por que \u00e9 importante um desenvolvedor de software ter conhecimento sobre o Algoritmo de Dijkstra?<\/h2>\n\n\n\n<p>O algoritmo de Dijkstra \u00e9 uma ferramenta importante para desenvolvedores de software que desejam criar solu\u00e7\u00f5es eficientes e escal\u00e1veis. Ele \u00e9 \u00fatil em muitas aplica\u00e7\u00f5es, como em redes de computadores, sistemas de navega\u00e7\u00e3o, log\u00edstica e em diversas outras \u00e1reas. Al\u00e9m disso, o algoritmo \u00e9 f\u00e1cil de implementar e pode ser adaptado para lidar com diferentes tipos de problemas.<\/p>\n\n\n\n<p>Esse conte\u00fado \u00e9 parte do material disponibilizado para os participantes do meu grupo de estudos de <strong>Algoritmos e Estruturas de Dados<\/strong>. Voc\u00ea quer participar desse grupo? <strong><a href=\"https:\/\/elemarjr.com\/clube-de-estudos\/algoritmos-e-estruturas-de-dados\/\">Clique aqui e veja como funciona<\/a><\/strong>.<\/p>\n","protected":false},"featured_media":4140,"parent":0,"template":"","cursos":[5],"class_list":["post-4139","artigos","type-artigos","status-publish","has-post-thumbnail","hentry","cursos-algortimos"],"acf":[],"_links":{"self":[{"href":"https:\/\/elemarjr.com\/clube-de-estudos\/wp-json\/wp\/v2\/artigos\/4139","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/elemarjr.com\/clube-de-estudos\/wp-json\/wp\/v2\/artigos"}],"about":[{"href":"https:\/\/elemarjr.com\/clube-de-estudos\/wp-json\/wp\/v2\/types\/artigos"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/elemarjr.com\/clube-de-estudos\/wp-json\/wp\/v2\/media\/4140"}],"wp:attachment":[{"href":"https:\/\/elemarjr.com\/clube-de-estudos\/wp-json\/wp\/v2\/media?parent=4139"}],"wp:term":[{"taxonomy":"cursos","embeddable":true,"href":"https:\/\/elemarjr.com\/clube-de-estudos\/wp-json\/wp\/v2\/cursos?post=4139"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}