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This repository has the objective of presenting examples of data structure, search algorithms, sorting algorithms, and their respective complexities in the worst case.

For most of the code I also developed the unit tests, you can find them by accessing the root of the solution and /test.

This repository is under construction so some algorithms mentioned in the tables may be missing from the solution

Data Structures

For data structure, we only look at worst-case time complexity.

Data Structures Insertion Remove Search Access
Array O(n) O(n) O(n) O(1)
Doubly-Linked List O(1) O(1) or O(n) O(n) O(n)
Circular-Linked List O(1) O(1) or O(n) O(n) O(n)
Singly-Linked List O(n) O(n) O(n) O(n)
Hash Map O(n) O(n) O(n) O(n)
Min Heap O(log(n)) O(log(n)) O(n)
AVL O(log(n)) O(log(n)) O(log(n))
Binary Search Tree O(n) O(n) O(n)

Sorting Algorithms

Algorithm Best Average Wrost
Quick Sort O(n*log(n)) O(n*log(n)) O(n^2)
Mergesort O(n*log(n)) O(n*log(n)) O(n*log(n))
Heapsort O(n*log(n)) O(n*log(n)) O(n*log(n))
Bubble Sort O(n) O(n^2) O(n^2)
Insertion Sort O(n) O(n^2) O(n^2)
Selection Sort O(n^2) O(n^2) O(n^2)
Radix Sort O(n+k) O(n+k) O(n+k)
Counting Sort O(n+k) O(n+k) O(n+k)

Search Algorithms

Algorithm Best Average Wrost
Linear(Array) O(1) O(n) O(n)
Binary Search O(1) O(Log(n)) O(Log(n))
Binary Search Tree O(log(n)) O(n) O(n)
Breadth-First Search O(V+E)
Depth-First Search O(V+E)
A* O(E)
Predictive Search
Interpolation Search O(log(log(n)) O(log(log(n)) O(n)
Fibonacci Search O(1) O(log(n)) O(log(n))
Kruskal's Algorithm
Prim's Algorithm O(v^2) O(v^2) O(v^2)
Dijkstra's Algorithm O(v^2) O(v^2) O(v^2)

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