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LRU Cache: Python Code [Leetcode]
LRU Cache: Python Code [Leetcode]
Instructor:
admin
Duration:
22 mins
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LRU Cache: Explanation [Leetcode]
Disjoint sets and operations (Union and find)
Trie
1.1
Tries
33 min
1.2
Implement Tries: Problem Statement [Leetcode]
3 min
1.3
Implement Tries: Explanation [Leetcode]
11 min
1.4
Implement Tries: Python Code [Leetcode]
12 min
Red Black Trees
2.1
Red black Trees
31 min
2.2
Red Black Tree - Deletion
18 min
B-Trees & B+ Trees
3.1
Files and Indexing: introduction
46 min
3.2
B-Trees and B+ Trees with examples
58 min
3.3
More Solved Problems
14 min
3.4
Terminology related to Indexes
9 min
Ternary search Tree
4.1
Ternary Search Tree
35 min
LRU Cache
5.1
Page replacement Strategies
34 min
5.2
LRU, Optimal-replacement Algorithm
52 min
5.3
LRU Cache: Problem Statement [Leetcode]
6 min
5.4
LRU Cache: Why Use a Cache [Leetcode]
7 min
5.5
LRU Cache: Eviction [Leetcode]
7 min
5.6
LRU Cache: Explanation [Leetcode]
12 min
5.7
LRU Cache: Python Code [Leetcode]
22 min
Disjoint sets
6.1
Disjoint sets and operations (Union and find)
29 min
6.2
Friend Circles: Problem Statement [Leetcode]
4 min
6.3
Friend Circles: Approach 1 [Leetcode]
5 min
6.4
Friend Circles: Approach 1 (python code) [Leetcode]
7 min
6.5
Friend Circles: Approach 2 and python code [Leetcode]
16 min
Segment Tree
7.1
Introduction & Navie Approach
7 min
7.2
Structure of segment Tree
8 min
7.3
Constructing Segment Tree
12 min
7.4
Range Sum Query
11 min
Complexity Classess
8.1
Introduction
7 min
8.2
What is Non-Deterministic and Deterministic Algorithms ?
8 min
8.3
How to show the relationship between exponential time algorithms?
8 min
8.4
NP-Hard And NP-Complete
12 min
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