Grid DP Pattern
Traverse a 2D grid where each cell has a cost. Each cell's optimal value = its own cost + min of the cell above or left. First row and column only have one path (cumulative sum).
Recurrence
dp[0][0] = grid[0][0]
dp[i][0] = dp[i-1][0] + grid[i][0]
dp[0][j] = dp[0][j-1] + grid[0][j]
dp[i][j] = grid[i][j] + min(dp[i-1][j], dp[i][j-1])
dp[i][0] = dp[i-1][0] + grid[i][0]
dp[0][j] = dp[0][j-1] + grid[0][j]
dp[i][j] = grid[i][j] + min(dp[i-1][j], dp[i][j-1])
Interactive Visualization
Computing Source (min of) Computed Answer / Path
Step 0 of 0
Cell
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Cost
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dp Value
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Min Path Sum
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✓ Done
Speed
C++ — Minimum Path Sum
int minPathSum(vector<vector<int>>& grid) { int m = grid.size(), n = grid[0].size(); for (int i = 1; i < m; i++) grid[i][0] += grid[i-1][0]; for (int j = 1; j < n; j++) grid[0][j] += grid[0][j-1]; for (int i = 1; i < m; i++) for (int j = 1; j < n; j++) grid[i][j] += min(grid[i-1][j], grid[i][j-1]); return grid[m-1][n-1]; }
Complexity
Time
O(M × N)
Visit each cell once.
Space
O(1)
Modify grid in-place.