Given a m x n
grid
filled with non-negative numbers, find a path from top left to bottom right, which minimizes the sum of all numbers along its path.
Note: You can only move either down or right at any point in time.
Example 1:
Input: grid = [[1,3,1],[1,5,1],[4,2,1]] Output: 7 Explanation: Because the path 1 → 3 → 1 → 1 → 1 minimizes the sum.
Example 2:
Input: grid = [[1,2,3],[4,5,6]] Output: 12
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n <= 200
0 <= grid[i][j] <= 100
Dynamic programming.
class Solution:
def minPathSum(self, grid: List[List[int]]) -> int:
m, n = len(grid), len(grid[0])
dp = [[grid[0][0]] * n for _ in range(m)]
for i in range(1, m):
dp[i][0] = dp[i - 1][0] + grid[i][0]
for j in range(1, n):
dp[0][j] = dp[0][j - 1] + grid[0][j]
for i in range(1, m):
for j in range(1, n):
dp[i][j] = min(dp[i - 1][j], dp[i][j - 1]) + grid[i][j]
return dp[-1][-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 i = 1; i < m; ++i) {
dp[i][0] = dp[i - 1][0] + grid[i][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) {
for (int j = 1; j < n; ++j) {
dp[i][j] = Math.min(dp[i - 1][j], dp[i][j - 1]) + grid[i][j];
}
}
return dp[m - 1][n - 1];
}
}
function minPathSum(grid: number[][]): number {
let m = grid.length,
n = grid[0].length;
let dp = Array.from({ length: m }, v => new Array(n).fill(0));
dp[0][0] = grid[0][0];
for (let i = 1; i < m; ++i) {
dp[i][0] = dp[i - 1][0] + grid[i][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) {
for (let j = 1; j < n; ++j) {
dp[i][j] = Math.min(dp[i - 1][j], dp[i][j - 1]) + grid[i][j];
}
}
return dp[m - 1][n - 1];
}
class Solution {
public:
int minPathSum(vector<vector<int>>& grid) {
int m = grid.size(), n = grid[0].size();
vector<vector<int>> dp(m, vector<int>(n, grid[0][0]));
for (int i = 1; i < m; ++i) {
dp[i][0] = dp[i - 1][0] + grid[i][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) {
for (int j = 1; j < n; ++j) {
dp[i][j] = min(dp[i - 1][j], dp[i][j - 1]) + grid[i][j];
}
}
return dp[m - 1][n - 1];
}
};
func minPathSum(grid [][]int) int {
m, n := len(grid), len(grid[0])
dp := make([][]int, m)
for i := 0; i < m; i++ {
dp[i] = make([]int, n)
}
dp[0][0] = grid[0][0]
for i := 1; i < m; i++ {
dp[i][0] = dp[i-1][0] + grid[i][0]
}
for j := 1; j < n; j++ {
dp[0][j] = dp[0][j-1] + grid[0][j]
}
for i := 1; i < m; i++ {
for j := 1; j < n; j++ {
dp[i][j] = min(dp[i-1][j], dp[i][j-1]) + grid[i][j]
}
}
return dp[m-1][n-1]
}
func min(a, b int) int {
if a < b {
return a
}
return b
}
public 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 i = 1; i < m; ++i)
{
dp[i, 0] = dp[i - 1, 0] + grid[i][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)
{
for (int j = 1; j < n; ++j)
{
dp[i, j] = Math.Min(dp[i - 1, j], dp[i, j - 1]) + grid[i][j];
}
}
return dp[m- 1, n - 1];
}
}
/**
* @param {number[][]} grid
* @return {number}
*/
var minPathSum = function (grid) {
let m = grid.length,
n = grid[0].length;
let dp = Array.from({ length: m }, v => new Array(n).fill(0));
dp[0][0] = grid[0][0];
for (let i = 1; i < m; ++i) {
dp[i][0] = dp[i - 1][0] + grid[i][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) {
for (let j = 1; j < n; ++j) {
dp[i][j] = Math.min(dp[i - 1][j], dp[i][j - 1]) + grid[i][j];
}
}
return dp[m - 1][n - 1];
};
impl Solution {
pub fn min_path_sum(mut grid: Vec<Vec<i32>>) -> i32 {
let m = grid.len();
let n = grid[0].len();
for i in 1..m {
grid[i][0] += grid[i - 1][0];
}
for i in 1..n {
grid[0][i] += grid[0][i - 1];
}
for i in 1..m {
for j in 1..n {
grid[i][j] += grid[i][j - 1].min(grid[i - 1][j]);
}
}
grid[m - 1][n - 1]
}
}