Blog

Your dream job? Lets Git IT.
Interactive technical interview preparation platform designed for modern developers.

XGitHub

Platform

  • Categories

Resources

  • Blog
  • About the app
  • FAQ
  • Feedback

Legal

  • Privacy Policy
  • Terms of Service

© 2025 LetsGit.IT. All rights reserved.

LetsGit.IT/Categories/Algorithms
Algorithmsmedium

Top-down vs bottom-up dynamic programming — what’s the difference?

Tags
#dynamic-programming#memoization#tabulation
Back to categoryPractice quiz

Answer

Top-down uses recursion with memoization (compute states on demand). Bottom-up fills a table iteratively from smaller subproblems to bigger ones. Both reuse results; choose based on clarity and memory/control needs.

Related questions

Algorithms
What does the Floyd–Warshall algorithm compute and what is its complexity?
#graphs#shortest-path#floyd-warshall
Algorithms
What is memoization and when does it help?
#memoization#dynamic-programming#cache
Algorithms
What does Kadane’s algorithm solve?
#kadane#dynamic-programming#array
Algorithms
Greedy vs dynamic programming — what’s the key difference?
#greedy#dynamic-programming#optimization
Algorithms
What is Dynamic Programming?
#dynamic-programming#optimization#memoization