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LeetCode 380: Insert Delete GetRandom O(1) | Java Solution | HashMap + ArrayList

leetcode 380

insert delete getrandom o1

java solution

hashmap arraylist

constant time operations

coding interview

data structure design

leetcode hard

java programming

algorithm tutorial

random access

o1 time complexity

coding problem walkthrough

technical interview prep

leetcode java solution

design question

optimal data structure

coding challenge

computer science

software engineering interview

Автор: Code Scribbler

Загружено: 2025-06-05

Просмотров: 164

Описание: This problem challenges you to design a data structure that supports inserting, deleting, and getting a random element - all in O(1) time complexity! #leetcode #datastructure #hashmap #arraylist

*Time Complexity:* O(1) for all operations
*Space Complexity:* O(n) where n is the number of elements stored

⏱️ Timestamps
00:00 - Understanding problem statement
01:01 - Analyzing data structures
03:45 - Java code walk-through
05:43 - Solution analysis - runtime + memory

🔍 Key Concepts
Design problems
Random access in O(1) time
Hybrid data structures
HashMap and ArrayList integration
Constant time operations

💡 Learning Points
How to combine multiple data structures to achieve specific time complexity goals
Efficient techniques for handling random retrieval with O(1) guarantee
Trade-offs between different data structures
Interview-style implementation of a custom data structure

🔗 Related LeetCode Problems
LeetCode 381: Insert Delete GetRandom O(1) - Duplicates allowed
LeetCode 146: LRU Cache
LeetCode 460: LFU Cache
LeetCode 432: All O`one Data Structure

👥 Target Audience
This video is designed for software engineers preparing for technical interviews and those interested in advanced data structure design patterns.

📚 Prerequisites
Basic understanding of Java
Familiarity with HashMaps and ArrayLists
Understanding of time and space complexity

🔗 Links
Problem: https://leetcode.com/problems/insert-...
Solution code: https://leetcode.com/problems/insert-...

💡 Additional Tips
Pay special attention to how we maintain O(1) deletion time by swapping elements
Focus on the limitations of various data structures and why a hybrid approach is necessary
Consider the random element retrieval implementation using Math.random() and its implications

🔔 Like, subscribe, and leave your questions or solution approaches in the comments! I respond to every comment and would love to hear your insights on this problem or requests for future videos. #codinginterviews #javaprogram #algorithmdesign

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LeetCode 380: Insert Delete GetRandom O(1) | Java Solution | HashMap + ArrayList

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