computational complexity theory, a reduction is an algorithm for transforming one problem into another problem. A sufficiently efficient reduction from one...
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In computational complexity theory, a polynomial-time reduction is a method for solving one problem using another. One shows that if a hypothetical subroutine...
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In computational complexity theory, a log-space reduction is a reduction computable by a deterministic Turing machine using logarithmic space. Conceptually...
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types of reductions, based on the method of reduction, such as Cook reductions, Karp reductions and Levin reductions, and the bound on the complexity of reductions...
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the program implementing the Turing reduction may use. These limits on the computational complexity of the reduction are important when studying subrecursive...
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computability theory and computational complexity theory, a many-one reduction (also called mapping reduction) is a reduction that converts instances of one decision...
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In the computational complexity theory of counting problems, a polynomial-time counting reduction is a type of reduction (a transformation from one problem...
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organic compounds Ore reduction: see smelting Reduction (complexity), a transformation of one problem into another problem Reduction (recursion theory),...
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first-order reduction is a very strong type of reduction between two computational problems in computational complexity theory. A first-order reduction is a...
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the complexity class. More formally, a problem p is called hard for a complexity class C under a given type of reduction if there exists a reduction (of...
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Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent...
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computational complexity theory and game complexity, a parsimonious reduction is a transformation from one problem to another (a reduction) that preserves...
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theory and computational complexity theory, especially the study of approximation algorithms, an approximation-preserving reduction is an algorithm for transforming...
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computational complexity of decision problems. The term L reduction is sometimes used to refer to log-space reductions, by analogy with the complexity class L...
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different concepts for different degrees of complexity while affirming a reduction of theories. The idea of reductionism can be expressed by "levels" of explanation...
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NP-hardness (category Complexity classes)
problems Reduction (complexity) Unknowability Leeuwen, Jan van, ed. (1998). Handbook of Theoretical Computer Science. Vol. A, Algorithms and complexity. Amsterdam:...
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In computational complexity theory, a PTAS reduction is an approximation-preserving reduction that is often used to perform reductions between solutions...
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In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly...
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(although this has not been proven). The closure of any complexity class under Turing reductions is a superset of that class which is closed under complement...
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similar class NEXPTIME, is not closed under polynomial-time many-one reductions. NE is contained by NEXPTIME. E (complexity) Complexity Zoo: NE v t e...
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In computational complexity theory, L (also known as LSPACE, LOGSPACE or DLOGSPACE) is the complexity class containing decision problems that can be solved...
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In computational complexity theory, a fine-grained reduction is a transformation from one computational problem to another, used to relate the difficulty...
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equal to the complexity class DTIME(2O(n)). E, unlike the similar class EXPTIME, is not closed under polynomial-time many-one reductions. E is contained...
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In computability theory a truth-table reduction is a type of reduction from a decision problem A {\displaystyle A} to a decision problem B {\displaystyle...
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In computability theory, many reducibility relations (also called reductions, reducibilities, and notions of reducibility) are studied. They are motivated...
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In computational complexity theory, SL (Symmetric Logspace or Sym-L) is the complexity class of problems log-space reducible to USTCON (undirected s-t...
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Model order reduction (MOR) is a technique for reducing the computational complexity of mathematical models in numerical simulations. As such it is closely...
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In computational complexity theory, arithmetic circuits are the standard model for computing polynomials. Informally, an arithmetic circuit takes as inputs...
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taken into account. Lists of problems List of unsolved problems Reduction (complexity) Unknowability Wells, J. B. (1993). "Typability and type checking...
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Karp's 21 NP-complete problems List of PSPACE-complete problems Reduction (complexity) Grigoriev & Bodlaender (2007). Karp (1972) Garey & Johnson (1979)...
29 KB (2,746 words) - 00:31, 24 April 2025