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Solution: Triangle

Explore the dynamic programming approach to find the minimum path sum in a triangle array by iteratively collapsing path costs from the bottom up. Understand the implementation details and complexity analysis to solve this common coding interview problem effectively.

Statement

Given an array, triangle, return the minimum path sum from top to bottom.

You may move to an adjacent number in the row below at each step. More formally, if you are at index ii in the current row, you may move to either index ii or index i+1i + 1 in the next row.

Constraints:

  • 11 \leq triangle.length ...