{"id":34154,"date":"2024-11-01T09:24:52","date_gmt":"2024-11-01T09:24:52","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=34154"},"modified":"2024-11-01T10:58:24","modified_gmt":"2024-11-01T10:58:24","slug":"c-coding-test-course-depth-first-search-2","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/34154\/","title":{"rendered":"C++ Coding Test Course, Depth First Search"},"content":{"rendered":"<p><body><\/p>\n<h2>1. Problem Description<\/h2>\n<p>The given problem is as follows:<\/p>\n<blockquote>\n<p>Implement an algorithm to find the size of the largest group of consecutive 1s in a two-dimensional array (N x M) composed of integers. A group is defined as a subset of 1s that are connected vertically or horizontally. Additionally, non-consecutive 1s are treated as different groups.<\/p>\n<p>The size of the array (N, M) is between 1 and 100.<\/p>\n<\/blockquote>\n<h2>2. Problem Analysis<\/h2>\n<p>This problem is about using graph search algorithms like DFS (Depth-First Search) or BFS (Breadth-First Search) to find connected components. It can be solved by counting the number of connected 1s and keeping track of the maximum size of the group.<\/p>\n<p>The input array can be represented in the following form:<\/p>\n<pre>\n    1 0 0 1 1\n    1 1 0 0 0\n    0 0 1 1 1\n    0 1 0 0 0\n    1 1 1 0 0\n    <\/pre>\n<p>In this case, the size of the largest group will be 5.<\/p>\n<h2>3. Approach<\/h2>\n<p>We need to use depth-first search to find and count connected 1s. DFS is stack-based and can be implemented either recursively or explicitly with a stack. The following are the steps to solve the problem:<\/p>\n<ol>\n<li>Iterate through the two-dimensional array and execute DFS when a 1 is found.<\/li>\n<li>In DFS, explore connected 1s by moving vertically and horizontally and increase the count.<\/li>\n<li>After exploring, compare and update the maximum group size.<\/li>\n<li>Once the exploration is complete, return the final maximum group size.<\/li>\n<\/ol>\n<h2>4. Code Implementation<\/h2>\n<p>Below is the C++ code implementing the above approach:<\/p>\n<pre><code>\n#include <iostream>\n#include <vector>\n#include <algorithm>\n\nusing namespace std;\n\nclass Solution {\npublic:\n    int N, M; \/\/ Size of the array\n    vector<vector<int>> directions{{-1, 0}, {1, 0}, {0, -1}, {0, 1}}; \/\/ Directions for up, down, left, right\n\n    \/\/ Implementation of DFS\n    int dfs(int x, int y, vector<vector<int>>& grid) {\n        if (x < 0 || x >= N || y < 0 || y >= M || grid[x][y] == 0) {\n            return 0; \/\/ Out of bounds or 0 case\n        }\n\n        grid[x][y] = 0; \/\/ Mark as visited\n        int count = 1; \/\/ Count current 1\n\n        \/\/ Recursive calls in four directions\n        for (const auto& dir : directions) {\n            count += dfs(x + dir[0], y + dir[1], grid);\n        }\n\n        return count;\n    }\n\n    int largestGroupSize(vector<vector<int>>& grid) {\n        N = grid.size();\n        M = grid[0].size();\n        int maxSize = 0;\n\n        for (int i = 0; i < N; i++) {\n            for (int j = 0; j < M; j++) {\n                if (grid[i][j] == 1) { \/\/ When 1 is found\n                    int groupSize = dfs(i, j, grid); \/\/ Call DFS\n                    maxSize = max(maxSize, groupSize); \/\/ Update maximum group size\n                }\n            }\n        }\n\n        return maxSize;\n    }\n};\n\nint main() {\n    Solution sol;\n    vector<vector<int>> grid = {\n        {1, 0, 0, 1, 1},\n        {1, 1, 0, 0, 0},\n        {0, 0, 1, 1, 1},\n        {0, 1, 0, 0, 0},\n        {1, 1, 1, 0, 0}\n    };\n\n    int result = sol.largestGroupSize(grid);\n    cout << \"Size of the largest group: \" << result << endl;\n    return 0;\n}\n<\/vector<int><\/vector<int><\/vector<int><\/vector<int><\/algorithm><\/vector><\/iostream><\/code><\/pre>\n<h2>5. Code Explanation<\/h2>\n<p>The above C++ code is structured as follows:<\/p>\n<ol>\n<li><strong>Variable declaration:<\/strong> <code>N<\/code> and <code>M<\/code> store the size of the array, and <code>directions<\/code> defines movement directions for up, down, left, and right.<\/li>\n<li><strong>DFS function:<\/strong> The <code>dfs<\/code> function recursively counts the number of connected 1s starting from the current position. It checks for boundary conditions and visit status.<\/li>\n<li><strong>Main function:<\/strong> The <code>largestGroupSize<\/code> function iterates through the entire array, calling DFS every time a 1 is found to calculate the group size. It updates the maximum size and returns the final result.<\/li>\n<\/ol>\n<h2>6. Testing and Results<\/h2>\n<p>The above code can be tested with various cases. For example, we can change the size of groups or add new group structures to observe different results.<\/p>\n<p>A successful result would be:<\/p>\n<pre><code>Size of the largest group: 5<\/code><\/pre>\n<h2>7. Time Complexity Analysis<\/h2>\n<p>This algorithm has a time complexity of O(N * M) because each cell is visited once. The memory complexity is also O(N * M) due to the array and the recursive call stack.<\/p>\n<h2>8. Conclusion<\/h2>\n<p>In this lecture, we solved the problem of finding the maximum group size of connected 1s using depth-first search. DFS is a very useful algorithm for pathfinding problems and connected component identification, and it can be utilized in many algorithmic problems.<\/p>\n<p>Next, we will discuss BFS and tackle various application problems. Thank you!<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>1. Problem Description The given problem is as follows: Implement an algorithm to find the size of the largest group of consecutive 1s in a two-dimensional array (N x M) composed of integers. A group is defined as a subset of 1s that are connected vertically or horizontally. Additionally, non-consecutive 1s are treated as different &hellip; <a href=\"https:\/\/atmokpo.com\/w\/34154\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;C++ Coding Test Course, Depth First Search&#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":[111],"tags":[],"class_list":["post-34154","post","type-post","status-publish","format-standard","hentry","category-c-coding-test-tutorials-2"],"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, Depth First Search - \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\/34154\/\" \/>\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, Depth First Search - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"1. 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