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This is a list of algorithm general topics. Analysis of algorithms; Ant colony algorithm; Approximation algorithm; Best and worst cases; Big O notation; Combinatorial search; Competitive analysis; Computability theory; Computational complexity theory; Embarrassingly parallel problem; Emergent algorithm; Evolutionary algorithm; Fast Fourier ...
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.
Programming language – formal constructed language designed to communicate instructions to a machine, particularly a computer. Programming languages can be used to create programs to control the behavior of a machine or to express algorithms. Generational list of programming languages; List of programming languages by type
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.
Linear programming (also treats integer programming) — objective function and constraints are linear Algorithms for linear programming: Simplex algorithm. Bland's rule — rule to avoid cycling in the simplex method; Klee–Minty cube — perturbed (hyper)cube; simplex method has exponential complexity on such a domain
Algorithms can be expressed in many kinds of notation, including natural languages, pseudocode, flowcharts, drakon-charts, programming languages or control tables (processed by interpreters). Natural language expressions of algorithms tend to be verbose and ambiguous and are rarely used for complex or technical algorithms.
The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.
Present in the majority of programming languages, serving as the foundation for type systems. Control Structure: Constructs that determine the direction of flow of program execution (e.g., if, while, for, switch). Present in almost all programming languages to control the flow of execution. Subroutine (or Method)