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Search algorithm
Alpha–beta pruning is a tree search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree
Alpha–beta_pruning
Process mining algorithm
since been presented, which will be listed below. Alpha miner was the first process discovery algorithm ever proposed, and it gives a good overview of the
Alpha_algorithm
Game-playing artificial intelligence
go. This algorithm uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind team released a preprint paper introducing AlphaZero, which
AlphaZero
Classification of algorithm
A galactic algorithm is an algorithm with state-of-the-art theoretical (asymptotic) performance, but which is not used due to practical constraints. Typical
Galactic_algorithm
AI-powered evolutionary coding agent
AlphaEvolve is an evolutionary coding agent for designing advanced algorithms based on large language models such as Gemini. It was developed by Google
AlphaEvolve
Type system used in computer programming and mathematics
This promise is not fulfilled by the algorithm. Having a context 1 : i n t , f : α {\displaystyle 1:int,\ f:\alpha } , the expression f 1 {\displaystyle
Hindley–Milner_type_system
Sequence of operations for a task
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is a finite sequence of mathematically rigorous instructions, typically used to solve
Algorithm
Algorithm in computational number theory
x\in \mathbb {Z} _{n}} such that α x = β {\displaystyle \alpha ^{x}=\beta } . The lambda algorithm allows one to search for x {\displaystyle x} in some interval
Pollard's_kangaroo_algorithm
Mathematical and computational problem
}({\text{size}}\leq \alpha )\leq 1/(1-\alpha )} for all α ≤ 1 / 2 {\displaystyle \alpha \leq 1/2} . For each algorithm A that is an AnyFit-algorithm it holds that
Bin_packing_problem
Overview of and topical guide to algorithms
algorithm Ant colony optimization algorithms Particle swarm optimization Evolutionary algorithm A* search algorithm Minimax Alpha–beta pruning Graphplan Monte
Outline_of_algorithms
Cocke–Younger–Kasami algorithm Earley parser Inside-outside algorithm Canny edge detector GrabCut RANSAC Scale-invariant feature transform AlphaGo AlphaGo Zero AlphaZero
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Gradient boosting machine learning library
learners M {\displaystyle M} and a learning rate α {\displaystyle \alpha } . Algorithm: Initialize model with a constant value:[further explanation needed]
XGBoost
Artificial intelligence system for discovering matrix multiplication algorithms
AlphaTensor is an artificial intelligence system developed by DeepMind for discovering efficient matrix multiplication algorithms using reinforcement
AlphaTensor
AI model that developer a super-human sorting algorithm
AlphaDev is an artificial intelligence system developed by Google DeepMind to discover enhanced computer science algorithms using reinforcement learning
AlphaDev
High-speed approximation of the square root of the sum of two squares
The alpha max plus beta min algorithm is a high-speed approximation of the square root of the sum of two squares. The square root of the sum of two squares
Alpha max plus beta min algorithm
Alpha_max_plus_beta_min_algorithm
Hidden Markov model algorithm
The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time
Forward_algorithm
Optimization method
In numerical optimization, the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is an iterative method for solving unconstrained nonlinear optimization
Broyden–Fletcher–Goldfarb–Shanno algorithm
Broyden–Fletcher–Goldfarb–Shanno_algorithm
Approximate distinct counting algorithm
HyperLogLog is an algorithm for the count-distinct problem, approximating the number of distinct elements in a multiset. Calculating the exact cardinality
HyperLogLog
Algorithm used for pathfinding and graph traversal
A* (pronounced "A-star") is a graph traversal and pathfinding algorithm that is used in many fields of computer science due to its completeness, optimality
A*_search_algorithm
Pattern matching algorithm
The Rete algorithm (/ˈriːtiː/ REE-tee, /ˈreɪtiː/ RAY-tee, rarely /ˈriːt/ REET, /rɛˈteɪ/ reh-TAY) is a pattern matching algorithm for implementing rule-based
Rete_algorithm
Monte Carlo algorithm
In statistics and statistical physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of random
Metropolis–Hastings_algorithm
Any algorithm which solves the search problem
artificial intelligence. Examples of algorithms for this class are the minimax algorithm, alpha–beta pruning, and the A* algorithm and its variants. An important
Search_algorithm
The GYO algorithm is an algorithm that applies to hypergraphs. The algorithm takes as input a hypergraph and determines if the hypergraph is α-acyclic
GYO_algorithm
Algorithm from machine learning
presented. If the Winnow1 algorithm uses α > 1 {\displaystyle \alpha >1} and Θ ≥ 1 / α {\displaystyle \Theta \geq 1/\alpha } on a target function that
Winnow_(algorithm)
Optimization algorithm
The Frank–Wolfe algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional gradient
Frank–Wolfe_algorithm
Error correction algorithm
The Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises (principally
BCJR_algorithm
Artificial intelligence that plays Go
the publication of a paper in the journal Nature describing the algorithms used. AlphaGo played South Korean professional Go player Lee Sedol, ranked 9-dan
AlphaGo
Automated methods for the creation of mazes
O(\alpha (V))} time; α ( x ) < 5 {\displaystyle \alpha (x)<5} for any plausible value of x {\displaystyle x} ), so the running time of this algorithm is
Maze_generation_algorithm
originally proposed in (Awerbuch, 1985) along with three synchronizer algorithms named alpha, beta and gamma which provided different tradeoffs in terms of time
Synchronizer_(algorithm)
Method of evaluating spline curves
subfield of numerical analysis, de Boor's algorithm is a polynomial-time and numerically stable algorithm for evaluating spline curves in B-spline form
De_Boor's_algorithm
Artificial intelligence that plays Go
Nature on AlphaGo, said that it is possible to have generalized AI algorithms by removing the need to learn from humans. Google later developed AlphaZero,
AlphaGo_Zero
Variation of minimax game tree search
negascout, an algorithm to compute the minimax or negamax value quickly by clever use of alpha–beta pruning discovered in the 1980s. Note that alpha–beta pruning
Negamax
Algorithmic runtime requirements for matrix multiplication
Unsolved problem in computer science What is the fastest algorithm for matrix multiplication? More unsolved problems in computer science In theoretical
Computational complexity of matrix multiplication
Computational_complexity_of_matrix_multiplication
Inference algorithm for hidden Markov models
The forward–backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables
Forward–backward_algorithm
Parameter estimation method for probabilistic context-free grammars
For parsing algorithms in computer science, the inside–outside algorithm is a way of re-estimating production probabilities in a probabilistic context-free
Inside–outside_algorithm
Root-finding algorithm for polynomials
The Jenkins–Traub algorithm for polynomial zeros is a fast globally convergent iterative polynomial root-finding method published in 1970 by Michael A
Jenkins–Traub_algorithm
An algorithm is a fundamental set of rules or defined procedures that are typically designed and used to be a simpler way to solve a specific problem
List_of_algorithms
Optimization algorithms using quantum computing
Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the
Quantum optimization algorithms
Quantum_optimization_algorithms
Mathematical algorithm
rho algorithm to solve the integer factorization problem. The goal is to compute γ {\displaystyle \gamma } such that α γ = β {\displaystyle \alpha ^{\gamma
Pollard's rho algorithm for logarithms
Pollard's_rho_algorithm_for_logarithms
Operation in computer graphics
operation (see Painter's algorithm). The in and out operators are the alpha compositing equivalent of clipping. The two use only the alpha channel of the second
Alpha_compositing
Algorithm to multiply matrices
central operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms efficient. Applications of matrix
Matrix multiplication algorithm
Matrix_multiplication_algorithm
Algorithm for solving the discrete logarithm problem
{\displaystyle x} such that α x = β . {\displaystyle \alpha ^{x}=\beta \,.} The baby-step giant-step algorithm is based on rewriting x {\displaystyle x} : x =
Baby-step_giant-step
Data mining technique using event logs
practical algorithm for process discovery, "Alpha miner" was developed. The next year, research papers introduced "Heuristic miner" a much similar algorithm based
Process_mining
Game tree search algorithm
Stockman speculated that SSS* may therefore be a better general algorithm than alpha–beta. However, Igor Roizen and Judea Pearl have shown that the savings
SSS*
errors. There are many polynomial-time algorithms for list decoding. In this article, we first present an algorithm for Reed–Solomon (RS) codes which corrects
Guruswami–Sudan list decoding algorithm
Guruswami–Sudan_list_decoding_algorithm
Algorithm used to solve non-linear least squares problems
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA or just LM), also known as the damped least-squares (DLS) method, is used to solve
Levenberg–Marquardt_algorithm
Quantum search algorithm
In quantum computing, Grover's algorithm, also known as the quantum search algorithm, is a quantum algorithm for unstructured search that finds with high
Grover's_algorithm
Notation describing limiting behavior in computational number theory
analysis of these algorithms. The e c ( ln n ) α ( ln ln n ) 1 − α {\displaystyle e^{c(\ln n)^{\alpha }(\ln \ln n)^{1-\alpha }}} expresses the dominant
L-notation
Texture compression algorithm
into the alpha channel before compression and moving it back during rendering in the pixel shader. Like many modern image compression algorithms, S3TC only
S3_Texture_Compression
Method for satisfying the Newtonian motion of a rigid body which consists of mass points
constraint algorithm is a method for satisfying the Newtonian motion of a rigid body which consists of mass points. A restraint algorithm is used to ensure
Constraint (computational chemistry)
Constraint_(computational_chemistry)
Numerical eigenvalue calculation
The Lanczos algorithm is an iterative method devised by Cornelius Lanczos that is an adaptation of power methods to find the m {\displaystyle m} "most
Lanczos_algorithm
Enhancement of Alpha–Beta game tree search
is a negamax algorithm that can be faster than alpha–beta pruning. Like alpha–beta pruning, NegaScout is a directional search algorithm for computing
Principal_variation_search
Topics referred to by the same term
Beta (Ββ), the first two letters Alpha and beta anomers (chemistry) Alpha–beta pruning, a type of search algorithm Alpha–beta transformation, a mathematical
Alphabeta
Deep reinforcement learning method
engendered considerable controversy, primarily over whether AlphaChip is an advance over existing algorithms, and academic integrity. Chip design for modern integrated
AlphaChip
Recursive algorighm in linear algebra
The algorithm runs in Θ(n2) time, which is a strong improvement over Gauss–Jordan elimination, which runs in Θ(n3). The Levinson–Durbin algorithm was
Levinson_recursion
Iterative procedure
α = 1 / N ∑ i = 1 N y i {\displaystyle \alpha =1/N\sum _{i=1}^{N}y_{i}} necessarily. The backfitting algorithm is then: Initialize α ^ = 1 / N ∑ i = 1
Backfitting_algorithm
Protein structure classification tool
The DSSP algorithm is the standard method for assigning secondary structure to the amino acids of a protein, given the atomic-resolution coordinates of
DSSP_(algorithm)
Algorithm for finding a local minimum of a function
\dots ,s_{i_{d}-1},s_{i_{d}+1},\dots ,s_{N},\sum _{i=1}^{N}\alpha _{i}s_{i}\}} . The algorithm iterates an arbitrary number of times until no significant
Powell's_method
Iterative method for finding maximum likelihood estimates in statistical models
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates
Expectation–maximization algorithm
Expectation–maximization_algorithm
Database theory algorithm
The Yannakakis algorithm is an algorithm in database theory for evaluating acyclic join queries (more generally, (alpha-)acyclic conjunctive queries, see
Yannakakis_algorithm
Error correction code
^{5}x^{2}+\alpha ^{3}x^{3}+\alpha ^{1}x^{4}+\alpha ^{-1}x^{5}+\alpha ^{-1}x^{6}+\alpha ^{6}x^{7}.\end{aligned}}} Let us run the extended Euclidean algorithm: (
BCH_code
Problem in combinatorial optimization
{\displaystyle \alpha \geq 1} . This is a generalization of collective dominance, first introduced in and used in the EDUK algorithm. The smallest such
Knapsack_problem
Important algorithms in numerical statistics
Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem is
Algorithms for calculating variance
Algorithms_for_calculating_variance
Artificial intelligence (AI) program
AlphaTensor — DeepMind system for discovering matrix multiplication algorithms AlphaDev — DeepMind system for discovering faster sorting algorithms AlphaEvolve
AlphaGeometry
Algorithm in game theory
and the coalition. The paranoid algorithm significantly improves upon the maxn algorithm by enabling the use of alpha-beta pruning and other minimax-based
Paranoid_algorithm
Optimization by removing non-optimal solutions to subproblems
used extensively for solving integer linear programs. Evolutionary algorithm Alpha–beta pruning A. H. Land and A. G. Doig (1960). "An automatic method
Branch_and_bound
Artificial intelligence program by DeepMind
several benchmarks, AlphaFold3 has demonstrated, on average, superior performance to conventional search-based docking algorithms in predicting small-molecule–protein
AlphaFold
Concurrent programming algorithm for mutual exclusion
Peterson's algorithm (or Peterson's solution) is a concurrent programming algorithm for mutual exclusion that allows two or more processes to share a single-use
Peterson's_algorithm
Algorithm for visible surface determination in 3D graphics
The painter's algorithm (also depth-sort algorithm and priority fill) is an algorithm for visible surface determination in 3D computer graphics that works
Painter's_algorithm
Algorithm for evaluating polynomials
In computer science, the Knuth–Eve algorithm is an algorithm for polynomial evaluation. It preprocesses the coefficients of the polynomial to reduce the
Knuth–Eve_algorithm
Topics referred to by the same term
algorithm Alpha max plus beta min algorithm AlphaMax Academy (founded 1998) a private international school in Suriname Search for "alphamax" , "alpha
Alpha_max
AI research laboratory
game-playing (MuZero, AlphaStar), for mathematics (AlphaGeometry, FunSearch), and for algorithm discovery (AlphaEvolve, AlphaDev, AlphaTensor). In 2020, DeepMind
Google_DeepMind
Decision rule used for minimizing the possible loss for a worst-case scenario
minimax algorithm. The performance of the naïve minimax algorithm may be improved dramatically, without affecting the result, by the use of alpha–beta pruning
Minimax
Trading platform
and FX. Once the team greenlights a user-generated algorithm, it is loaded into QuantConnect's Alpha Streams API and priced accordingly by the quant who
QuantConnect
Algorithm for creating isosurfaces from a given scalar field
marching cubes algorithm, which can produce some "bad" topology, but can also be considered an algorithm in its own right. The algorithm first divides
Asymptotic_decider
Numerical methods for matrix eigenvalue calculation
is designing efficient and stable algorithms for finding the eigenvalues of a matrix. These eigenvalue algorithms may also find eigenvectors. Given an
Eigenvalue_algorithm
Method in computational algebra
Berlekamp's algorithm is a well-known method for factoring polynomials over finite fields (also known as Galois fields). The algorithm consists mainly
Berlekamp's_algorithm
Concept in linear algebra
{x}}\|_{2}^{2}-2\alpha x_{1}+\alpha ^{2}=2(\|{\vec {x}}\|_{2}^{2}-\alpha x_{1})} which means α = ± ‖ x → ‖ 2 {\displaystyle \alpha =\pm \|{\vec {x}}\|_{2}}
Householder_transformation
1999 public-key cryptography algorithm
The Cayley–Purser algorithm was a public-key cryptography algorithm published in early 1999 by 16-year-old Irishwoman Sarah Flannery, based on an unpublished
Cayley–Purser_algorithm
Optimization algorithm
algorithm for calculating q i {\displaystyle q_{i}} from q i + 1 {\displaystyle q_{i+1}} is to define α i := ρ i s i ⊤ q i + 1 {\displaystyle \alpha _{i}:=\rho
Limited-memory_BFGS
Measure of algorithm performance for large inputs
well-known algorithms today are asymptotically optimal or not. For example, there is an O ( n α ( n ) ) {\displaystyle O(n\alpha (n))} algorithm for finding
Asymptotically optimal algorithm
Asymptotically_optimal_algorithm
Family of lossless-compression image file formats
24-bit RGB or 32-bit RGBA colors), grayscale images (with or without an alpha channel for transparency), and full-color non-palette-based RGB or RGBA
PNG
Algorithm to be run on quantum computers
In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the
Quantum_algorithm
Quantum algorithm for counting solutions to search problems
Quantum counting algorithm is a quantum algorithm for efficiently counting the number of solutions for a given search problem. The algorithm is based on the
Quantum_counting_algorithm
Computational complexity class of problems
{PSPACE}}} Notice in the sum over histories algorithm to compute some amplitude α x {\displaystyle \alpha _{x}} , only one history is stored at any point
BQP
Performance metric for lossless compression
television show about a fictional tech start-up working on a data compression algorithm. It compares both required time and compression ratio of measured applications
Weissman_score
Metaheuristic proposed by Xin-She Yang
firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. In pseudocode the algorithm can be stated
Firefly_algorithm
Criterion applied in hierarchical cluster analysis
Lance–Williams algorithm with α i = n i + n k n i + n j + n k , α j = n j + n k n i + n j + n k , β = − n k n i + n j + n k , γ = 0. {\displaystyle \alpha _{i}={\frac
Ward's_method
Zero-window Alpha-Beta game tree search algorithm
MTD(f) is an alpha-beta game tree search algorithm modified to use ‘zero-window’ initial search bounds, and memory (usually a transposition table) to
MTD(f)
Error-correcting codes
matrix given above, or using the Forney algorithm. Calculate ik by taking the log base α {\displaystyle \alpha } of Xk. This is generally done using a
Reed–Solomon_error_correction
Algorithm for supervised learning of binary classifiers
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether
Perceptron
Family of iterative methods
θ ) − α {\displaystyle \nabla L(\theta )=N(\theta )-\alpha } , then the Robbins–Monro algorithm is equivalent to stochastic gradient descent with loss
Stochastic_approximation
Orthonormalization of a set of vectors
algebra and numerical analysis, the Gram–Schmidt process or Gram-Schmidt algorithm is a way of finding a set of two or more vectors that are perpendicular
Gram–Schmidt_process
Parsing algorithm for context-free grammars
Cocke–Younger–Kasami algorithm (alternatively called CYK, or CKY) is a parsing algorithm for context-free grammars published by Itiroo Sakai in 1961. The algorithm is named
CYK_algorithm
Complexity class
Turing machine with postselection and bounded error (in the sense that the algorithm is correct at least 2/3 of the time on all inputs). Postselection is not
PostBQP
Concept in mathematics
\|\alpha \|_{1}} simply sums the absolute values of the entries in α {\displaystyle \alpha } . This is known as the basis pursuit (BP) algorithm, which
Sparse_approximation
References algorithm A precisely defined step-by-step procedure for performing a task.[citation needed] alpha In the minimax search algorithm, the minimum
Glossary of computer chess terms
Glossary_of_computer_chess_terms
Inequalities for inexact line search
^{+}} exactly. A line search algorithm can use Wolfe conditions as a requirement for any guessed α {\displaystyle \alpha } , before finding a new search
Wolfe_conditions
Procedure for recovering a blurred image
The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been
Richardson–Lucy_deconvolution
64-bit RISC instruction set architecture
Alpha microprocessors Alpha (originally Alpha AXP) is a 64-bit reduced instruction set computer (RISC) instruction set architecture (ISA) developed by
DEC_Alpha
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ALPHA ALGORITHM
ALPHA ALGORITHM
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ALPHA ALGORITHM
ALPHA ALGORITHM
ALPHA ALGORITHM
ALPHA ALGORITHM
ALPHA ALGORITHM
ALPHA ALGORITHM
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