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Grokking the Coding Interview Patterns in Go

Solution: Triangle

Understand how to apply dynamic programming techniques in a bottom-up manner to calculate the minimum path sum from top to bottom in a triangular array. Explore how overlapping subproblems and optimal substructure guide the efficient solution using a single dp array and how to manage time and space complexities effectively.

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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 ...