Welcome to the Algorithms in JavaScript learning!
Algorithms are the soul of problem-solving in computer science. Whether you're tackling coding interviews, building complex applications, or exploring the depths of programming logic, mastering algorithms is your key to writing efficient and elegant solutions.
Understanding algorithms helps you:
- Solve problems faster and smarter
- Optimize apps for real-world performance
- Build a strong foundation for system design
- Boost your confidence in technical interviews
Remember, learning algorithms is not about memorizing every line, it’s about understanding the logic, patterns, and trade-offs behind each solution.
“An algorithm must be seen to be believed.”
Keep practicing, break problems into smaller parts, and always focus on improving, one step at a time.
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About the Repo:
This repository contains the implementation of algorithms categorized by type. Each algorithm file includes:
- Problem Description
- Time and Space Complexity
- JavaScript Implementation
- Sample Input/Output
Algorithms Covered:
Searching Algorithms
- Linear Search
- Binary Search
- Interpolation Search
Sorting Algorithms:
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Heap Sort
Recursion and Divide & Conquer:
- Tower of Hanoi
- Fibonacci Sequence
- Binary Search (recursive)
Dynamic Programming:
- Climbing Stairs
- Longest Common Subsequence
Graph Algorithms:
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Dijkstra’s Algorithm
More algorithms will be added regularly.
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