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Solution: Triangle

Explore how to apply dynamic programming techniques to solve the minimum path sum problem in a triangular array. Understand the bottom-up approach that calculates optimal path costs efficiently, mastering the concepts of optimal substructure and overlapping subproblems to develop a scalable coding solution.

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 ...