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Grokking the Coding Interview Patterns in Go

Solution: Triangle

Explore how to apply dynamic programming techniques to find the minimum path sum from the top to the bottom of a triangular array. Understand the bottom-up method that efficiently computes optimal costs by iteratively collapsing paths using a one-dimensional dp array, improving time and space complexity.

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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 ...