JavaScript Algorithms and Data Structures

Code Examples

Data Structures

1. Linked List
2. Queue
3. Stack
4. Hash Table
5. Heap
6. Priority Queue
7. Trie
8. Tree
   • Binary Search Tree
   • AVL Tree
9. Graph

Algorithms

• Math
  • Fibonacci Number
  • Cartesian Product
  • Power Set
• String
  • String Permutations
• Graph
  • Depth-First Search (DFS)
  • Breadth-First Search (BFS)
• Sorting
  • Bubble Sort
  • Selection Sort
  • Insertion Sort

Running Tests

Run all tests

npm test

Run tests by name

npm test -- -t 'LinkedList'

Playground

You may play with data-structures and algorithms in ./src/playground/playground.js file and write tests for it in ./src/playground/__test__/playground.test.js.

Then just simply run the following command to test if your playground code works as expected:

npm test -- -t 'playground'

Useful links

• Data Structures and Algorithms on YouTube
• Algorithms
  • Dynamic Programming
    • Introduction to Dynamic Programming 1

Useful Information

Big O Notation

Order of growth of algorithms specified in Big O notation.

Source: Big O Cheat Sheet.

Below is the list of some of the most used Big O notations and their performance comparisons against different sizes of the input data.

Big O Notation	Computations for 10 elements	Computations for 100 elements	Computations for 1000 elements
O(1)	1	1	1
O(log N)	3	6	9
O(N)	10	100	1000
O(N log N)	30	60	9000
O(N^2)	100	10000	1000000
O(2^N)	1024	1.26e+29	1.07e+301
O(N!)	3628800	9.3e+157	4.02e+2567

Common Data Structure Operations

Source: Big O Cheat Sheet.

Array Sorting Algorithms Complexity

Source: Big O Cheat Sheet.

Name	Best	Average	Worst	Memory	Stable	Method
Bubble sort	n	n^2	n^2	1	Yes	Exchanging
Insertion sort	n	n^2	n^2	1	Yes	Insertion
Selection sort	n^2	n^2	n^2	1	No	Selection
Heap sort	n log(n)	n log(n)	n log(n)	1	No	Selection