11 relations: Analysis of algorithms, Big O notation, Complexity class, Computability theory, Computational complexity theory, Electronic design automation, Jack Edmonds, Operations research, P (complexity), Time complexity, Time hierarchy theorem.
Analysis of algorithms
In computer science, the analysis of algorithms is the determination of the computational complexity of algorithms, that is the amount of time, storage and/or other resources necessary to execute them.
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Big O notation
Big O notation is a mathematical notation that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity.
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In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.
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Computability theory, also known as recursion theory, is a branch of mathematical logic, of computer science, and of the theory of computation that originated in the 1930s with the study of computable functions and Turing degrees.
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Computational complexity theory
Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.
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Electronic design automation
Electronic design automation (EDA), also referred to as electronic computer-aided design (ECAD), is a category of software tools for designing electronic systems such as integrated circuits and printed circuit boards.
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Jack R. Edmonds (born April 5, 1934) is an American computer scientist, regarded as one of the most important contributors to the field of combinatorial optimization.
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Operations research, or operational research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions.
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In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.
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In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.
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Time hierarchy theorem
In computational complexity theory, the time hierarchy theorems are important statements about time-bounded computation on Turing machines.
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Cobham thesis, Cobham's Thesis, Cobham-Edmonds thesis, Cobham–Edmonds thesis.