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Grokking the Coding Interview Patterns in Python

Triangle

Explore how to solve the triangle minimum path sum problem with dynamic programming. Learn to find the minimum sum from top to bottom by moving to adjacent numbers in the next row. This lesson strengthens your understanding of optimization strategies in coding interviews.

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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 or index i+1 ...