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Grokking the Coding Interview Patterns in Go

Solution: Minimum Path Sum

Understand how to solve the Minimum Path Sum problem by applying dynamic programming. Learn to compute the minimum cost path in a grid by updating cells in-place, optimizing both time and space complexity through a single forward pass.

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Statement

You are given an m × n grid containing non-negative integers. Your task is to find a path from the top-left cell to the bottom-right cell that minimizes the sum of the values along the path. At each step, you may move only right or down.

Constraints:

  • m == grid.length

  • n == grid[i].length ...