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Conferences whose topic is algorithms and data structures considered broadly, but that do not include other areas of theoretical computer science such as computational complexity theory: ESA – European Symposium on Algorithms; SODA – ACM–SIAM Symposium on Discrete Algorithms; SWAT and WADS – SWAT and WADS conferences
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 ...
The following outline is provided as an overview of and topical guide to software engineering: . Software engineering – application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software; that is the application of engineering to software.
See also: List of functional analysis topics, List of wavelet-related transforms; Inverse distance weighting; Radial basis function (RBF) — a function of the form ƒ(x) = φ(|x−x 0 |) Polyharmonic spline — a commonly used radial basis function; Thin plate spline — a specific polyharmonic spline: r 2 log r; Hierarchical RBF
Computer science (also called computing science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. One well known subject classification system for computer science is the ACM Computing Classification System devised by the Association for Computing Machinery.
The contents match the full body of topics and detail information expected of a person identifying themselves as a Computer Engineering expert as laid out by the National Council of Examiners for Engineering and Surveying. [1] It is a comprehensive list and superset of the computer engineering topics generally dealt with at any one time.
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