\n This is a problem to determine whether the given graph is a bipartite graph. A bipartite graph is a graph that can be divided into two sets of vertices such that there are no edges between vertices of the same set. \n Print \n To determine if a graph is bipartite, we can use DFS (Depth First Search) or BFS (Breadth First Search) algorithms. We proceed by coloring the vertices of the graph with two colors, and if adjacent vertices are colored the same, it is not a bipartite graph.\n<\/p>\n \n The graph is represented using an adjacency list. We use \n While traversing the graph using DFS or BFS, we determine the color of each vertex and check its adjacent vertices to determine if it is a bipartite graph.\n<\/p>\n \n Below is the implementation in Kotlin.\n<\/p>\n \n By running the above code, you can determine whether the graph is a bipartite graph. Test various graphs to validate that it produces the correct results.\n<\/p>\n \n Through this course, we understood the concept of bipartite graphs and how to determine them, and learned how to effectively solve this problem using Kotlin programming.\n<\/p>\n <\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\n In other words, if two vertices u<\/code> and v<\/code> are connected, u<\/code> and v<\/code> must belong to different sets.\n<\/p>\nInput<\/h2>\n
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n<\/code> (1 \u2264 n<\/code> \u2264 1000): number of vertices<\/li>\nm<\/code> (1 \u2264 m<\/code> \u2264 5000): number of edges<\/li>\nm<\/code> pairs (u, v)<\/code>: edge information between vertex u<\/code> and vertex v<\/code><\/li>\n<\/ul>\nOutput<\/h2>\n
YES<\/code> if the graph is a bipartite graph, otherwise print NO<\/code>.\n<\/p>\nProblem Solving Process<\/h2>\n
Step 1: Graph Representation<\/h3>\n
ArrayList<\/code> to store the connectivity between vertices.\n<\/p>\nStep 2: Graph Traversal<\/h3>\n
Step 3: Implementation<\/h3>\n
\n
\nfun isBipartiteGraph(n: Int, edges: ListStep 4: Results and Validation<\/h3>\n
Conclusion<\/h2>\n