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Grokking the Coding Interview Patterns in C++

Solution: Triangle

Understand how to solve the triangle minimum path sum problem using a bottom-up dynamic programming method. Learn to update path costs efficiently to find the optimal path from top to bottom and analyze time and space complexity.

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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:

  • 1≤1 \leq triangle.length ...