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128 lines
4.2 KiB
C#
128 lines
4.2 KiB
C#
/**
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* File: min_path_sum.cs
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* Created Time: 2023-07-10
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_dynamic_programming;
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public class min_path_sum {
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/* Minimum path sum: Brute-force search */
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int MinPathSumDFS(int[][] grid, int i, int j) {
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// If it's the top-left cell, terminate the search
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if (i == 0 && j == 0) {
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return grid[0][0];
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}
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// If row or column index is out of bounds, return +∞ cost
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if (i < 0 || j < 0) {
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return int.MaxValue;
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}
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// Calculate the minimum path cost from top-left to (i-1, j) and (i, j-1)
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int up = MinPathSumDFS(grid, i - 1, j);
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int left = MinPathSumDFS(grid, i, j - 1);
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// Return the minimum path cost from top-left to (i, j)
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return Math.Min(left, up) + grid[i][j];
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}
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/* Minimum path sum: Memoization search */
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int MinPathSumDFSMem(int[][] grid, int[][] mem, int i, int j) {
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// If it's the top-left cell, terminate the search
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if (i == 0 && j == 0) {
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return grid[0][0];
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}
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// If row or column index is out of bounds, return +∞ cost
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if (i < 0 || j < 0) {
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return int.MaxValue;
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}
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// If there's a record, return it directly
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if (mem[i][j] != -1) {
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return mem[i][j];
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}
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// Minimum path cost for left and upper cells
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int up = MinPathSumDFSMem(grid, mem, i - 1, j);
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int left = MinPathSumDFSMem(grid, mem, i, j - 1);
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// Record and return the minimum path cost from top-left to (i, j)
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mem[i][j] = Math.Min(left, up) + grid[i][j];
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return mem[i][j];
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}
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/* Minimum path sum: Dynamic programming */
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int MinPathSumDP(int[][] grid) {
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int n = grid.Length, m = grid[0].Length;
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// Initialize dp table
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int[,] dp = new int[n, m];
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dp[0, 0] = grid[0][0];
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// State transition: first row
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for (int j = 1; j < m; j++) {
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dp[0, j] = dp[0, j - 1] + grid[0][j];
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}
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// State transition: first column
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for (int i = 1; i < n; i++) {
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dp[i, 0] = dp[i - 1, 0] + grid[i][0];
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}
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// State transition: rest of the rows and columns
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for (int i = 1; i < n; i++) {
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for (int j = 1; j < m; j++) {
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dp[i, j] = Math.Min(dp[i, j - 1], dp[i - 1, j]) + grid[i][j];
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}
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}
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return dp[n - 1, m - 1];
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}
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/* Minimum path sum: Space-optimized dynamic programming */
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int MinPathSumDPComp(int[][] grid) {
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int n = grid.Length, m = grid[0].Length;
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// Initialize dp table
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int[] dp = new int[m];
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dp[0] = grid[0][0];
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// State transition: first row
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for (int j = 1; j < m; j++) {
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dp[j] = dp[j - 1] + grid[0][j];
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}
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// State transition: rest of the rows
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for (int i = 1; i < n; i++) {
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// State transition: first column
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dp[0] = dp[0] + grid[i][0];
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// State transition: rest of the columns
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for (int j = 1; j < m; j++) {
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dp[j] = Math.Min(dp[j - 1], dp[j]) + grid[i][j];
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}
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}
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return dp[m - 1];
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}
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[Test]
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public void Test() {
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int[][] grid =
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[
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[1, 3, 1, 5],
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[2, 2, 4, 2],
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[5, 3, 2, 1],
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[4, 3, 5, 2]
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];
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int n = grid.Length, m = grid[0].Length;
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// Brute-force search
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int res = MinPathSumDFS(grid, n - 1, m - 1);
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Console.WriteLine("Minimum path sum from top-left to bottom-right is " + res);
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// Memoization search
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int[][] mem = new int[n][];
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for (int i = 0; i < n; i++) {
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mem[i] = new int[m];
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Array.Fill(mem[i], -1);
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}
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res = MinPathSumDFSMem(grid, mem, n - 1, m - 1);
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Console.WriteLine("Minimum path sum from top-left to bottom-right is " + res);
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// Dynamic programming
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res = MinPathSumDP(grid);
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Console.WriteLine("Minimum path sum from top-left to bottom-right is " + res);
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// Space-optimized dynamic programming
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res = MinPathSumDPComp(grid);
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Console.WriteLine("Minimum path sum from top-left to bottom-right is " + res);
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}
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}
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