Lru cache
Summary
This PR adds a visualization for the LRU (Least Recently Used) Cache data structure.
What is LRU Cache?
A cache that stores a limited number of items and automatically evicts the least recently used item when capacity is exceeded. It's widely used in operating systems, databases, and web applications.
Implementation Details
- Data Structure: Circular doubly-linked list + HashMap
- Time Complexity: O(1) for both GET and PUT operations
- Space Complexity: O(capacity)
- Language: JavaScript
Visualization Features
- Shows cache state after each operation (most recent → least recent)
- Logs all operations with clear descriptions
- Highlights the most recently used item
- Demonstrates eviction behavior when capacity is exceeded
- Includes comprehensive demonstration with multiple scenarios
Testing
✅ Tested on Scratch Paper - All operations work correctly with no errors ✅ Code runs without any console errors ✅ Visualization displays properly ✅ All operations are logged correctly
Category
Uncategorized
Files Added
-
Uncategorized/LRU Cache/code.js- Implementation with visualization -
Uncategorized/LRU Cache/README.md- Comprehensive documentation
Real-World Applications
- Operating Systems (page replacement)
- Web Browsers (cache management)
- Databases (query caching)
- CDNs (content delivery)
- APIs (response caching)
Summary
This PR adds a visualization for the LRU (Least Recently Used) Cache data structure.
What is LRU Cache?
A cache that stores a limited number of items and automatically evicts the least recently used item when capacity is exceeded. It's widely used in operating systems, databases, and web applications.
Implementation Details
- Data Structure: Circular doubly-linked list + HashMap
- Time Complexity: O(1) for both GET and PUT operations
- Space Complexity: O(capacity)
- Language: JavaScript
Visualization Features
- Shows cache state after each operation (most recent → least recent)
- Logs all operations with clear descriptions
- Highlights the most recently used item
- Demonstrates eviction behavior when capacity is exceeded
- Includes comprehensive demonstration with multiple scenarios
Testing
✅ Tested on Scratch Paper - All operations work correctly with no errors ✅ Code runs without any console errors ✅ Visualization displays properly ✅ All operations are logged correctly
Category
Uncategorized
Files Added
-
Uncategorized/LRU Cache/code.js- Implementation with visualization -
Uncategorized/LRU Cache/README.md- Comprehensive documentation
Real-World Applications
- Operating Systems (page replacement)
- Web Browsers (cache management)
- Databases (query caching)
- CDNs (content delivery)
- APIs (response caching)