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LRU Cache Implementation | Codewise explanation using Queue & Map | Java Code
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Solution:
- We implement lru cache using queue & map
- Map helps us to fetch data faster
- While pushing value in cache if data is already in cache, we move it to top & update the value. If cache is full, we remove data from last
- While getting the data, we move accessed data to top of queue.
Time Complexity: O(1)
Space Complexity: O(n)
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- We implement lru cache using queue & map
- Map helps us to fetch data faster
- While pushing value in cache if data is already in cache, we move it to top & update the value. If cache is full, we remove data from last
- While getting the data, we move accessed data to top of queue.
Time Complexity: O(1)
Space Complexity: O(n)
Do Watch video for more info
CHECK OUT CODING SIMPLIFIED
★☆★ VIEW THE BLOG POST: ★☆★
I started my YouTube channel, Coding Simplified, during Dec of 2015.
Since then, I've published over 400+ videos.
★☆★ SUBSCRIBE TO ME ON YOUTUBE: ★☆★
★☆★ Send us mail at: ★☆★
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