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See

• What is an algorithm
• Contributing
• Code of Conduct
• Stickers and T-Shirts
• Twitter
• Instagram
• Algorithms Categories
• Maintainers
• License

What is an algorithm?

Informally, an algorithm is any well-defined computational procedure that takes some value, or set of values, as input and produces some value, or set of values, as output. An algorithm is thus a sequence of computational steps that transform the input into the output.

An algorithm should have three important characteristics to be considered valid:

• It should be finite: If your algorithm never ends trying to solve the problem it was designed to solve then it is useless
• 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.
• 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.

Categories

Structure of The All ▲lgoritms project

• Artificial Intelligence
• Backtracking
• Bit Manipulation
• Cellular Automaton
• Ciphers
• Computational Geometry
• Cryptography
• Data Structures
• Divide and conquer
• Dynamic Programming
• Gaming Theory
• Graphs
• Greedy Algorithms
• Math
• Networking
• Numerical Analysis
• Operating system
• Randomized Algorithms
• Searches
• Selections Algorithms
• Sorting
• Strings
• Online Challenges
• Others

Artificial Intelligence

• Density-based spatial clustering of applications with noise (DBSCAN Clustering)
• Interactive Self-Organizing Data Analysis Technique yAy! (ISODATA Clustering)
• Linear Regression
• Logistic Regression
• Neutral Style Transfer
• SATisfiable (SAT)
• Travelling salesman problem (TSP)
• A* (A Star)
• Artificial Neutral Network
• Convolutional Neutral Network
• Decision Tree
• Factorization Machines
• Gaussian Mixture Model
• Gradient Boosting Trees
• Hierachical Clustering
• Image Processing
• K Nearest Neighbors
• K Means
• Minimax
• Native Bayes
• Nearest Sequence Memory
• Neutral Network
• Perceptron
• Principal Component Analysis
• Q Learing
• Random Forests
• Restricted Boltzman Machine

Backtracking

• Algorithm X
• Crossword Puzzle
• Knight Tour
• M Coloring Problem
• N Queen
• Number of ways in Maze
• Partitions of set
• Permutation of Strings
• Powerset
• Rat in maze
• Subset Sum
• Sudoku Solve

Bit Manipulation

• Addition using bits
• Bit divisor
• Byte swapper
• Convert numbers to binary
• Count set bits
• Flip bits
• Hamming distance
• Invert bit
• Lonely integer
• Magic Number
• Maximum XOR Value
• Power of 2
• Subset Generation
• Sum binary numbers
• Sum equals XOR
• Thrice unique number
• Twice unique number
• XOR Swap

Cellular Automaton

• Brians Brain
• Conways Game of life
• Elementary Cellular Automata
• Generic Algorithm
• Langtons Ant
• Nobili Cellular Automata
• Von Neoumann Cellular Automata

Computational Geometry

• 2D Line intersection
• 2D Separating Axis test
• Area of polygon
• Area of triangle
• Axis aligned bounding box collision
• Bresenham Line
• Chans Algorithm
• Cohen Sutherland Lineclip
• Distance between points
• Graham Scan
• Halfplane intersection
• Jarvis March
• Quickull
• Sphere tetrahedron intersection
• Sutherland Hodgeman clipping

Cryptography

• Affine Cipher
• Atbash Cipher
• Autokey Cipher
• Baconian Cipher
• Caesar Cipher
• Colummnar Cipher
• Vigenere Cipher

Data Structures

• Bag
• Hashes
• Linked List
• List
• Queue
• Stack
• Tree

Divide and conquer

• Strassen Matrix Manipulation
• Closest Pair of Point
• Inversion Count
• Karatsuba Multiplication
• Maximum Contiguous subsequence sum
• Merge Sort using divide and conquer
• [Quick Sort using divide and conquer](divide-and-conq