In this problem you are given with some values in a list that give future projections for the price of a house. You need to sell the house at a loss and you need to find the minimum loss that is possible. It is not possible to find every combination in an optimal time, hence you need to solve this problem with some pre-processing of elements. This video simplifies the problem with some animations so you can see the caveats and challenges. Also find a complete implementation of the code.
Chapters:
00:00 - Intro
01:03 - Problem statement and description
03:18 - Brute force solution and limitations
06:17 - Efficient solution to the problem
10:07 - Dry-run of Code
14:13 - Final Thoughts
Actual problem on HackerRank: https://www.hackerrank.com/challenges...
📚 Links to topics I talk about in the video:
Brute Force Algorithms: • Brute Force algorithms with real life exam...
Dynamic Programming: • Dynamic Programming easy to understand rea...
Sorting Techniques: • Sorting Techniques
Array Data Structure: • Array Data Structure explained with Visual...
Time Complexity: • What is the Time Complexity of an Algorith...
What is Big O?: • Big O Notation Simplified to the MAX | Stu...
📘 A text based explanation is available at:
Code on Github: https://github.com/nikoo28/java-solut...
Test-cases on Github: https://github.com/nikoo28/java-solut...
📖 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/studyalg...
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Recording Light: https://amzn.to/3pAqh8O
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