LeetCode 64 | Minimum Path Sum | Dynamic Programming Algorithm Explained (Java)
Today we go over a popular Dynamic Programming problem, Minimum Path Sum.
Running Time: O(n)
Space Complexity: O(1)
The description for this problem reads:
"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:
Input:
[
[1,3,1],
[1,5,1],
[4,2,1]
]
Output: 7"
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