Solution: Triangle

Explore how to solve the minimum path sum problem in a triangle using dynamic programming. Understand optimal substructure and overlapping subproblems by working from the bottom row to the top, updating path costs efficiently. This lesson helps you implement a bottom-up approach with O(n^2) time and O(n) space complexity to find the most efficient route through the triangle.