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Grokking the Coding Interview Patterns

Solution: Triangle

Explore how to solve the minimum path sum problem in a triangle by applying dynamic programming techniques. Understand the bottom-up method that builds optimal solutions from the last row upwards, enabling you to optimize complex problems through efficient subproblem reuse and reduced redundancy.

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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 ...