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NC = P problem The P vs NP problem is a major unsolved question in computer science that asks whether every problem whose solution can be quickly verified by a computer (NP) can also be quickly solved by a computer (P). This question has profound implications for fields such as cryptography, algorithm design, and computational theory.
The Computer Science Ontology (CSO) is an automatically generated taxonomy of research topics in the field of Computer Science. [1] [2] It was produced by the Open University in collaboration with Springer Nature by running an information extraction system over a large corpus of scientific articles. [3]
Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).
Physics, mathematics, computer science, nonlinear sciences, quantitative biology and statistics: Repository of electronic pre-prints of papers in the fields of mathematics, physics, astronomy, computer science, quantitative biology, statistics, and quantitative finance. Free Cornell University [18] ASCE Library: Civil engineering
False position method — secant method with ideas from the bisection method; Muller's method — based on quadratic interpolation at last three iterates; Sidi's generalized secant method — higher-order variants of secant method; Inverse quadratic interpolation — similar to Muller's method, but interpolates the inverse
This is a list of computability and complexity topics, by Wikipedia page. Computability theory is the part of the theory of computation that deals with what can be computed, in principle.
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.
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