Search⌘ K
AI Features

Solution: Triangle

Understand how to solve the triangle minimum path sum problem using dynamic programming. Explore a bottom-up strategy that calculates optimal path costs efficiently by updating a single list from the last row to the top, helping you master this classic algorithmic pattern and improve problem-solving skills in coding interviews.

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 ...