Search⌘ K
AI Features

Solution: Triangle

Explore how to use dynamic programming to find the minimum path sum from top to bottom in a triangular array. This lesson teaches you to apply a bottom-up strategy, optimizing solution efficiency by storing intermediate results to avoid redundant calculations. You will understand how to break down the problem, implement the dynamic solution, and analyze its time and space complexity.

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 ...