This is a massive collection of JavaScript Data Structures and Algorithms. I put this repository together to get ready for technical interviews. I hope it helps you get ready for your next big technical interview. Also, feel free to contribute 😀         

What is an algorithm?

In simple terms, it is possible to say that an algorithm is a sequence of steps that allow solving a certain task ( Yes, not just computers use algorithms, humans also use them). Now, an algorithm should have three important characteristics to be considered valid:

1. It should be finite: If your algorithm never ends trying to solve the problem it was designed to solve then it is useless
2. It should have well-defined instructions: Each step of the algorithm has to be precisely defined; the instructions should be unambiguously specified for each case.
3. It should be effective: The algorithm should solve the problem it was designed to solve. And it should be possible to demonstrate that the algorithm converges with just a paper and pencil.

This repo covers the following topics:

• Binary Heap
• Bitwise
• Complex Arrays
• Graph Traversing
  • Breadth-First Search
  • Depth First Search
• Graph
  • Graph Node
  • Grid Graph
  • Tree Node
• Hash Table
• Fast Fourier Transformations
• Linked Lists
• List
• Memoization
• Queue
  • Priority Queue
  • Queue
• Rabin Karp
• Search
  • Binary Search Trees
  • Linear
• Shortest Path
  • A*
  • Dijkstra
• Sorting
  • Bubble Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort (duh)
  • Selection Sort
• Stack
• Trie

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