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An [[algorithm]] is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.
Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations. With the increasing automation of services, more and more decisions are being made by algorithms. Some general examples are
The following is a '''list of well-known algorithms'''
==Automated planning==
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===Graph algorithms===
{{further
* [[Coloring algorithm]]: Graph coloring algorithm.
* [[Hopcroft–Karp algorithm]]: convert a bipartite graph to a [[maximum cardinality matching]]
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====Graph search====
{{further
* [[A* search algorithm|A*]]: special case of best-first search that uses heuristics to improve speed
* [[B*]]: a best-first graph search algorithm that finds the least-cost path from a given initial node to any goal node (out of one or more possible goals)
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** [[Bogosort]]: the list is randomly shuffled until it happens to be sorted
** [[Slowsort]]
** [[Stooge sort]]
* Hybrid
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===Numerical algorithms===
{{further
====Differential equation solving====
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====Interpolation and extrapolation====
{{further
* [[Birkhoff interpolation]]: an extension of polynomial interpolation
* [[Cubic interpolation]]
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** [[Successive over-relaxation]] (SOR): method used to speed up convergence of the [[Gauss–Seidel method]]
** [[Tridiagonal matrix algorithm]] (Thomas algorithm): solves systems of tridiagonal equations
* [[SMAWK Algorithm]]
* [[Sparse matrix]] algorithms
** [[Cuthill–McKee algorithm]]: reduce the [[bandwidth (matrix theory)|bandwidth]] of a [[symmetric sparse matrix]]
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===Process synchronization===
{{further|Process scheduler|Process synchronization}}
* [[Dekker's algorithm]]
* [[Lamport's Bakery algorithm]]
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