To find an efficient solution to such problems, always try to break down into smaller segments. That is how dynamic programming works. Use the solution of the smaller segment to extend your solution to the larger problem as you go on iterating. Watch this video to understand how can you achieve the maximum loot along with beautiful diagrams and a dry-run of code in JAVA.
Actual problem on LeetCode: https://leetcode.com/problems/house-robber/
Chapters:
00:00 - Intro
00:52 - Problem Statement and Description
02:32 - Brute Force & Greedy Approach
05:12 - How to attack such problems
07:31 - Application of logic
11:03 - Dry-run of Code
13:08 - Final Thoughts
📚 Links to topics I talk about in the video:
Brute Force Algorithms: https://youtu.be/kdTpUjd71G8
Dynamic Programming: https://youtu.be/tHqTq-H5utI
Greedy Algorithms: https://youtu.be/3H2G3KuEiRU
📘 A text based explanation is available at: https://studyalgorithms.com
Code on Github: https://github.com/nikoo28/java-solutions/blob/master/src/main/java/leetcode/medium/HouseRobber.java
Test-cases on Github: https://github.com/nikoo28/java-solutions/blob/master/src/test/java/leetcode/medium/HouseRobberTest.java
📖 Reference Books:
Starting Learn to Code: https://amzn.to/36pU0JO
Favorite book to understand algorithms: https://amzn.to/39w3YLS
Favorite book for data structures: https://amzn.to/3oAVBTk
Get started for interview preparation: https://amzn.to/39ysbkJ
🔗 To see more videos like this, you can show your support on: https://www.buymeacoffee.com/studyalgorithms
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