Cheapest Top-Left to Bottom-Right Path
Problem
You have an m × n grid of non-negative numbers. Starting at the top-left cell and ending at the bottom-right, moving only right or down, return the minimum sum of values along the path.
Input
grid = [[1,3,1],[1,5,1],[4,2,1]]Output
7dp[i][j] = grid[i][j] + min(dp[i−1][j], dp[i][j−1]). Boundaries inherit from their single feasible neighbour.
def min_path_sum(grid):
m, n = len(grid), len(grid[0])
dp = [[0] * n for _ in range(m)]
dp[0][0] = grid[0][0]
for j in range(1, n): dp[0][j] = dp[0][j-1] + grid[0][j]
for i in range(1, m): dp[i][0] = dp[i-1][0] + grid[i][0]
for i in range(1, m):
for j in range(1, n):
dp[i][j] = grid[i][j] + min(dp[i-1][j], dp[i][j-1])
return dp[m-1][n-1]
function minPathSum(grid) {
const m = grid.length, n = grid[0].length;
const dp = Array.from({ length: m }, () => new Array(n).fill(0));
dp[0][0] = grid[0][0];
for (let j = 1; j < n; j++) dp[0][j] = dp[0][j-1] + grid[0][j];
for (let i = 1; i < m; i++) dp[i][0] = dp[i-1][0] + grid[i][0];
for (let i = 1; i < m; i++)
for (let j = 1; j < n; j++)
dp[i][j] = grid[i][j] + Math.min(dp[i-1][j], dp[i][j-1]);
return dp[m-1][n-1];
}
class Solution {
public int minPathSum(int[][] grid) {
int m = grid.length, n = grid[0].length;
int[][] dp = new int[m][n];
dp[0][0] = grid[0][0];
for (int j = 1; j < n; j++) dp[0][j] = dp[0][j-1] + grid[0][j];
for (int i = 1; i < m; i++) dp[i][0] = dp[i-1][0] + grid[i][0];
for (int i = 1; i < m; i++)
for (int j = 1; j < n; j++)
dp[i][j] = grid[i][j] + Math.min(dp[i-1][j], dp[i][j-1]);
return dp[m-1][n-1];
}
}
int minPathSum(vector<vector<int>>& grid) {
int m = grid.size(), n = grid[0].size();
vector<vector<int>> dp(m, vector<int>(n, 0));
dp[0][0] = grid[0][0];
for (int j = 1; j < n; j++) dp[0][j] = dp[0][j-1] + grid[0][j];
for (int i = 1; i < m; i++) dp[i][0] = dp[i-1][0] + grid[i][0];
for (int i = 1; i < m; i++)
for (int j = 1; j < n; j++)
dp[i][j] = grid[i][j] + min(dp[i-1][j], dp[i][j-1]);
return dp[m-1][n-1];
}