Problem Solving: House Robber @ LeetCode

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In this video, Ali tackles the famous "House Robber" problem from LeetCode. This is a classic introductory problem for Dynamic Programming (DP).

The instructor walks through the problem statement: you are a robber trying to maximize your loot from a row of houses, but you cannot rob two adjacent houses. We explore the optimal substructure and overlapping subproblems that make this a perfect candidate for DP.

The video explains:
The problem constraints and logic.
Defining the DP state: `dp[i]` = maximum loot from the first `i` houses.
Deriving the recurrence relation: `dp[i] = max(dp[i-1], dp[i-2] + nums[i])`.
Handling base cases (`dp[0]` and `dp[1]`).
Live implementation in C++ on LeetCode.

Useful Links
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Submission Link: https://leetcode.com/problems/house-r...
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⏰ Timecodes ⏰
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0:00 - Introduction
0:27 - Problem Statement
1:16 - Example Analysis
2:58 - Hint
3:06 - Solution
11:45 - Implementation
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