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Grokking the Coding Interview Patterns in JavaScript

Solution: Triangle

Explore how to apply dynamic programming to find the minimum path sum from top to bottom in a triangular array. Understand the bottom-up approach that optimizes the solution by storing intermediate results, reducing time complexity, and efficiently handling overlapping subproblems.

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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 ...