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Common data structures and algorithms implemented in JavaScript

JavaScript 100.00%

data-structures's Introduction

JavaScript Data Structures and Algorithms

This repo is a collection of common data structures, and alogirthims you might encounter in an interview. This repo covers the following topics:

  • Binary Search Trees
  • Linked Lists
  • Search/Traversing Algorithms
    • Breadth First Search
    • Depth First Search
  • Stack/Queues
  • Graphs
  • Trees
  • Sorting Algorithms
    • Bubble Sort
    • Insertion Sort
    • Merge Sort
    • Quick Sort (duh)
    • Selection Sort

An algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks.

"Elegant" (compact) programs, "good" (fast) programs : The notion of "simplicity and elegance" appears informally in Knuth and precisely in Chaitin:

Knuth: ". . .we want good algorithms in some loosely defined aesthetic sense. One criterion . . . is the length of time taken to perform the algorithm . . .. Other criteria are adaptability of the algorithm to computers, its simplicity and elegance, etc"

Chaitin: " . . . a program is 'elegant,' by which I mean that it's the smallest possible program for producing the output that it does"

Contributing

  1. Fork it!
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -am 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request :D

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