{"id":33834,"date":"2024-11-01T09:20:59","date_gmt":"2024-11-01T09:20:59","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=33834"},"modified":"2024-11-01T10:55:53","modified_gmt":"2024-11-01T10:55:53","slug":"c-coding-test-course-finding-the-k-th-shortest-path","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/33834\/","title":{"rendered":"C# Coding Test Course, Finding the K-th Shortest Path"},"content":{"rendered":"<p><body><\/p>\n<h2>Problem Description<\/h2>\n<p>\n        This is a problem of finding the K-th shortest path between two given vertices in a graph. Common shortest path algorithms (such as Dijkstra&#8217;s algorithm, Bellman-Ford algorithm, etc.) find only one shortest path, but in this problem, we need to find the K-th shortest path between the given two vertices.\n    <\/p>\n<p>\n<strong>Input Format:<\/strong>\n<\/p>\n<ul>\n<li>The graph consists of vertices and edges, where each edge has a starting vertex, an ending vertex, and a weight.<\/li>\n<li>The number of vertices in the graph is N, the number of edges is M, and K is the rank of the shortest path to find.<\/li>\n<\/ul>\n<p>\n<strong>Output Format:<\/strong>\n<\/p>\n<ul>\n<li>Print the length of the K-th shortest path. If the K-th shortest path does not exist, print -1.<\/li>\n<\/ul>\n<h2>Example<\/h2>\n<pre>\n        Input: \n        4 5 2\n        1 2 1\n        1 3 2\n        2 3 1\n        2 4 3\n        3 4 1\n\n        Output:\n        3\n    <\/pre>\n<h2>Problem Analysis<\/h2>\n<p>\n        The algorithm used to solve this problem is a graph search utilizing a priority queue. It employs a modified approach to traditional shortest path algorithms to find the K-th shortest path. In particular, it explores the necessary paths using a combination of Dijkstra&#8217;s algorithm and a priority queue.\n    <\/p>\n<p>\n        The process to solve the problem is as follows:\n    <\/p>\n<ol>\n<li>Receive the graph data and construct it in the form of an adjacency list.<\/li>\n<li>Create a priority queue and start from the source vertex.<\/li>\n<li>Explore paths using the priority queue and count the K-th shortest path.<\/li>\n<li>Once the K-th shortest path is found, output its length.<\/li>\n<\/ol>\n<h2>C# Code Implementation<\/h2>\n<p>\n        Below is the code implementing the above process in C#.\n    <\/p>\n<pre>\n        <code>\n        using System;\n        using System.Collections.Generic;\n\n        class Program\n        {\n            static void Main(string[] args)\n            {\n                \/\/ Input\n                var line = Console.ReadLine().Split();\n                int N = int.Parse(line[0]); \/\/ Number of vertices\n                int M = int.Parse(line[1]); \/\/ Number of edges\n                int K = int.Parse(line[2]); \/\/ K-th shortest path\n\n                \/\/ Initialize the graph\n                var graph = new List&lt;(int to, int cost)&gt;[N + 1];\n                for (int i = 0; i &lt;= N; i++)\n                {\n                    graph[i] = new List&lt;(int, int)&gt;();\n                }\n\n                \/\/ Input edge information\n                for (int i = 0; i &lt; M; i++)\n                {\n                    line = Console.ReadLine().Split();\n                    int a = int.Parse(line[0]);\n                    int b = int.Parse(line[1]);\n                    int cost = int.Parse(line[2]);\n                    graph[a].Add((b, cost));\n                }\n\n                \/\/ Find the K-th shortest path\n                var result = FindKthShortestPath(graph, N, K);\n                Console.WriteLine(result);\n            }\n\n            static int FindKthShortestPath(List&lt;(int to, int cost)&gt;[] graph, int N, int K)\n            {\n                var pq = new SortedSet&lt;(int cost, int node, int count)&gt;();\n                pq.Add((0, 1, 0)); \/\/ (cost, node, count)\n\n                \/\/ List for the K-th shortest path\n                var paths = new List<int>[N + 1];\n                for (int i = 0; i &lt;= N; i++)\n                {\n                    paths[i] = new List<int>();\n                }\n\n                while (pq.Count &gt; 0)\n                {\n                    var (cost, node, count) = pq.Min;\n                    pq.Remove(pq.Min);\n\n                    paths[node].Add(cost);\n\n                    \/\/ If the K-th shortest path is found, return\n                    if (count == K - 1)\n                    {\n                        return cost;\n                    }\n\n                    \/\/ Explore edges\n                    foreach (var edge in graph[node])\n                    {\n                        pq.Add((cost + edge.cost, edge.to, count + 1));\n                    }\n                }\n\n                return -1; \/\/ If the K-th shortest path does not exist\n            }\n        }\n        <\/int><\/int><\/code>\n        <\/pre>\n<h2>Time Complexity Analysis<\/h2>\n<p>\n        The time complexity of this algorithm is O((M + N) log N). The reasons are:\n    <\/p>\n<ol>\n<li>Adding and removing nodes from the priority queue takes log N time.<\/li>\n<li>As it explores all edges and nodes, it performs O(M + N) iterations, which corresponds to the overall size of the graph.<\/li>\n<\/ol>\n<h2>Conclusion<\/h2>\n<p>\n        In this lecture, we implemented code based on the basic concept of graph search to solve the problem of finding the K-th shortest path. By learning how to find the K-th shortest path through a modified approach to shortest path methods, I hope to foster strategic thinking in various algorithmic problems.\n    <\/p>\n<p>\n        In the next lecture, we will cover more complex graph search problems. If you have any questions or feedback, please leave a comment!\n    <\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Problem Description This is a problem of finding the K-th shortest path between two given vertices in a graph. Common shortest path algorithms (such as Dijkstra&#8217;s algorithm, Bellman-Ford algorithm, etc.) find only one shortest path, but in this problem, we need to find the K-th shortest path between the given two vertices. Input Format: The &hellip; <a href=\"https:\/\/atmokpo.com\/w\/33834\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;C# Coding Test Course, Finding the K-th Shortest Path&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[90],"tags":[],"class_list":["post-33834","post","type-post","status-publish","format-standard","hentry","category-c-coding-test-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>C# Coding Test Course, Finding the K-th Shortest Path - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/33834\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"C# Coding Test Course, Finding the K-th Shortest Path - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"Problem Description This is a problem of finding the K-th shortest path between two given vertices in a graph. 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