mirror of
https://github.com/krahets/hello-algo.git
synced 2026-01-12 00:04:24 +08:00
* Review the EN heading format. * Fix pythontutor headings. * Fix pythontutor headings. * bug fixes * Fix headings in **/summary.md * Revisit the CN-to-EN translation for Python code using Claude-4.5 * Revisit the CN-to-EN translation for Java code using Claude-4.5 * Revisit the CN-to-EN translation for Cpp code using Claude-4.5. * Fix the dictionary. * Fix cpp code translation for the multipart strings. * Translate Go code to English. * Update workflows to test EN code. * Add EN translation for C. * Add EN translation for CSharp. * Add EN translation for Swift. * Trigger the CI check. * Revert. * Update en/hash_map.md * Add the EN version of Dart code. * Add the EN version of Kotlin code. * Add missing code files. * Add the EN version of JavaScript code. * Add the EN version of TypeScript code. * Fix the workflows. * Add the EN version of Ruby code. * Add the EN version of Rust code. * Update the CI check for the English version code. * Update Python CI check. * Fix cmakelists for en/C code. * Fix Ruby comments
135 lines
4.2 KiB
C
135 lines
4.2 KiB
C
/**
|
|
* File: min_path_sum.c
|
|
* Created Time: 2023-10-02
|
|
* Author: Zuoxun (845242523@qq.com)
|
|
*/
|
|
|
|
#include "../utils/common.h"
|
|
|
|
// Assume max matrix rows and columns is 100
|
|
#define MAX_SIZE 100
|
|
|
|
/* Find minimum value */
|
|
int myMin(int a, int b) {
|
|
return a < b ? a : b;
|
|
}
|
|
|
|
/* Minimum path sum: Brute-force search */
|
|
int minPathSumDFS(int grid[MAX_SIZE][MAX_SIZE], int i, int j) {
|
|
// If it's the top-left cell, terminate the search
|
|
if (i == 0 && j == 0) {
|
|
return grid[0][0];
|
|
}
|
|
// If row or column index is out of bounds, return +∞ cost
|
|
if (i < 0 || j < 0) {
|
|
return INT_MAX;
|
|
}
|
|
// Calculate the minimum path cost from top-left to (i-1, j) and (i, j-1)
|
|
int up = minPathSumDFS(grid, i - 1, j);
|
|
int left = minPathSumDFS(grid, i, j - 1);
|
|
// Return the minimum path cost from top-left to (i, j)
|
|
return myMin(left, up) != INT_MAX ? myMin(left, up) + grid[i][j] : INT_MAX;
|
|
}
|
|
|
|
/* Minimum path sum: Memoization search */
|
|
int minPathSumDFSMem(int grid[MAX_SIZE][MAX_SIZE], int mem[MAX_SIZE][MAX_SIZE], int i, int j) {
|
|
// If it's the top-left cell, terminate the search
|
|
if (i == 0 && j == 0) {
|
|
return grid[0][0];
|
|
}
|
|
// If row or column index is out of bounds, return +∞ cost
|
|
if (i < 0 || j < 0) {
|
|
return INT_MAX;
|
|
}
|
|
// If there's a record, return it directly
|
|
if (mem[i][j] != -1) {
|
|
return mem[i][j];
|
|
}
|
|
// Minimum path cost for left and upper cells
|
|
int up = minPathSumDFSMem(grid, mem, i - 1, j);
|
|
int left = minPathSumDFSMem(grid, mem, i, j - 1);
|
|
// Record and return the minimum path cost from top-left to (i, j)
|
|
mem[i][j] = myMin(left, up) != INT_MAX ? myMin(left, up) + grid[i][j] : INT_MAX;
|
|
return mem[i][j];
|
|
}
|
|
|
|
/* Minimum path sum: Dynamic programming */
|
|
int minPathSumDP(int grid[MAX_SIZE][MAX_SIZE], int n, int m) {
|
|
// Initialize dp table
|
|
int **dp = malloc(n * sizeof(int *));
|
|
for (int i = 0; i < n; i++) {
|
|
dp[i] = calloc(m, sizeof(int));
|
|
}
|
|
dp[0][0] = grid[0][0];
|
|
// State transition: first row
|
|
for (int j = 1; j < m; j++) {
|
|
dp[0][j] = dp[0][j - 1] + grid[0][j];
|
|
}
|
|
// State transition: first column
|
|
for (int i = 1; i < n; i++) {
|
|
dp[i][0] = dp[i - 1][0] + grid[i][0];
|
|
}
|
|
// State transition: rest of the rows and columns
|
|
for (int i = 1; i < n; i++) {
|
|
for (int j = 1; j < m; j++) {
|
|
dp[i][j] = myMin(dp[i][j - 1], dp[i - 1][j]) + grid[i][j];
|
|
}
|
|
}
|
|
int res = dp[n - 1][m - 1];
|
|
// Free memory
|
|
for (int i = 0; i < n; i++) {
|
|
free(dp[i]);
|
|
}
|
|
return res;
|
|
}
|
|
|
|
/* Minimum path sum: Space-optimized dynamic programming */
|
|
int minPathSumDPComp(int grid[MAX_SIZE][MAX_SIZE], int n, int m) {
|
|
// Initialize dp table
|
|
int *dp = calloc(m, sizeof(int));
|
|
// State transition: first row
|
|
dp[0] = grid[0][0];
|
|
for (int j = 1; j < m; j++) {
|
|
dp[j] = dp[j - 1] + grid[0][j];
|
|
}
|
|
// State transition: rest of the rows
|
|
for (int i = 1; i < n; i++) {
|
|
// State transition: first column
|
|
dp[0] = dp[0] + grid[i][0];
|
|
// State transition: rest of the columns
|
|
for (int j = 1; j < m; j++) {
|
|
dp[j] = myMin(dp[j - 1], dp[j]) + grid[i][j];
|
|
}
|
|
}
|
|
int res = dp[m - 1];
|
|
// Free memory
|
|
free(dp);
|
|
return res;
|
|
}
|
|
|
|
/* Driver Code */
|
|
int main() {
|
|
int grid[MAX_SIZE][MAX_SIZE] = {{1, 3, 1, 5}, {2, 2, 4, 2}, {5, 3, 2, 1}, {4, 3, 5, 2}};
|
|
int n = 4, m = 4; // Matrix capacity is MAX_SIZE * MAX_SIZE, valid rows and columns are n * m
|
|
|
|
// Brute-force search
|
|
int res = minPathSumDFS(grid, n - 1, m - 1);
|
|
printf("Minimum path sum from top-left to bottom-right is %d\n", res);
|
|
|
|
// Memoization search
|
|
int mem[MAX_SIZE][MAX_SIZE];
|
|
memset(mem, -1, sizeof(mem));
|
|
res = minPathSumDFSMem(grid, mem, n - 1, m - 1);
|
|
printf("Minimum path sum from top-left to bottom-right is %d\n", res);
|
|
|
|
// Dynamic programming
|
|
res = minPathSumDP(grid, n, m);
|
|
printf("Minimum path sum from top-left to bottom-right is %d\n", res);
|
|
|
|
// Space-optimized dynamic programming
|
|
res = minPathSumDPComp(grid, n, m);
|
|
printf("Minimum path sum from top-left to bottom-right is %d\n", res);
|
|
|
|
return 0;
|
|
}
|