Triangle | Dynamic Programming Solution | LeetCode Problem  

LeetCode Link for the problem :- leetcode.com/p...
In this video, we solve the Triangle problem from LeetCode using a dynamic programming approach. This problem involves finding the minimum path sum from the top to the bottom of a triangle, which is a great example of optimizing recursive solutions with dynamic programming. We'll break down the problem statement, discuss the strategy to solve it efficiently, and implement the solution step by step.
🔍 Problem Statement:
Given a triangle array, your task is to find the minimum path sum from top to bottom. Each step, you may move to the adjacent numbers on the row below. We’ll explore how to apply dynamic programming to solve this problem efficiently.
💡 Topics Covered:
Problem breakdown
Bottom-up Dynamic Programming approach
Understanding subproblem optimization
Coding the solution
Analyzing time and space complexity
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