Member-only story

20 Essential Patterns to Master Dynamic Programming for Coding Interviews

AKCoding.com
9 min readFeb 10, 2025

--

20 Essential Patterns to Master Dynamic Programming for Coding Interviews
20 Essential Patterns to Master Dynamic Programming for Coding Interviews

Not a Premium Medium member? Click here to access it for free!

Table of Contents

· 1. Fibonacci Sequence
· 2. Kadane’s Algorithm
· 3. 0/1 Knapsack
· 4. Unbounded Knapsack
· 5. Longest Common Subsequence (LCS)
· 6. Longest Increasing Subsequence (LIS)
· 7. Palindromic Subsequence
· 8. Edit Distance
· 9. Subset Sum
· 10. String Partition
· 11. Catalan Numbers
· 12. Matrix Chain Multiplication
· 13. Count Distinct Ways
· 14. DP on Grids
· 15. DP on Trees
· 16. DP on Graphs
· 17. Digit DP
· 18. Bitmasking DP
· 19. Probability DP
· 20. State Machine DP

20 Patterns to Master Dynamic Programming

🚀 Dynamic Programming (DP) is one of the toughest challenges in coding interviews.

--

--

AKCoding.com
AKCoding.com

Written by AKCoding.com

Empowering developers with programming concepts and code (Mobile & Web Developments using JAVA, React, React Native, JavaScript, Kotlin, Python, .Net, and More)

No responses yet