35 relations: Algorithm, Arthur–Merlin protocol, Complete (complexity), Complexity class, Computational complexity theory, Crossing number (graph theory), Decision problem, Existential theory of the reals, EXPTIME, Graph (mathematics), Graph isomorphism problem, International Symposium on Graph Drawing, Karp's 21 NP-complete problems, L (complexity), Log-space reduction, Many-one reduction, NC (complexity), NL (complexity), NP (complexity), NP-completeness, NP-hardness, P (complexity), P-complete, Polynomial hierarchy, Polynomial transformations, PSPACE, PSPACE-complete, Reduction (complexity), Richard M. Karp, Stephen Cook, Subroutine, Time complexity, Truth table, Truth-table reduction, Turing reduction.

## Algorithm

In mathematics and computer science, an algorithm is a self-contained step-by-step set of operations to be performed.

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## Arthur–Merlin protocol

In computational complexity theory, an Arthur–Merlin protocol is an interactive proof system in which the verifier's coin tosses are constrained to be public (i.e. known to the prover too).

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## Complete (complexity)

In computational complexity theory, a computational problem is complete for a complexity class if it is, in a technical sense, among the "hardest" (or "most expressive") problems in the complexity class.

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## Complexity class

In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.

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## Computational complexity theory

Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

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## Crossing number (graph theory)

In graph theory, the crossing number of a graph is the lowest number of edge crossings of a plane drawing of the graph.

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## Decision problem

In computability theory and computational complexity theory, a decision problem is a question in some formal system with a yes-or-no answer, depending on the values of some input parameters.

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## Existential theory of the reals

In mathematical logic, computational complexity theory, and computer science, the existential theory of the reals is the set of all true sentences of the form where F(X_1,\dots X_n) is a quantifier-free formula involving equalities and inequalities of real polynomials.

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## EXPTIME

In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n. In terms of DTIME, We know and also, by the time hierarchy theorem and the space hierarchy theorem, that so at least one of the first three inclusions and at least one of the last three inclusions must be proper, but it is not known which ones are.

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## Graph (mathematics)

In mathematics, and more specifically in graph theory, a graph is a representation of a set of objects where some pairs of objects are connected by links.

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## Graph isomorphism problem

The graph isomorphism problem is the computational problem of determining whether two finite graphs are isomorphic.

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## International Symposium on Graph Drawing

The International Symposium on Graph Drawing (GD) is an annual academic conference in which researchers present peer reviewed papers on graph drawing, information visualization of network information, geometric graph theory, and related topics.

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## Karp's 21 NP-complete problems

In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.

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## L (complexity)

In computational complexity theory, L (also known as LSPACE or DLOGSPACE) is the complexity class containing decision problems that can be solved by a deterministic Turing machine using a logarithmic amount of memory space.

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## Log-space reduction

In computational complexity theory, a log-space reduction is a reduction computable by a deterministic Turing machine using logarithmic space.

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## Many-one reduction

In computability theory and computational complexity theory, a many-one reduction is a reduction which converts instances of one decision problem into instances of a second decision problem.

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## NC (complexity)

In complexity theory, the class NC (for "Nick's Class") is the set of decision problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors.

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## NL (complexity)

In computational complexity theory, NL (Nondeterministic Logarithmic-space) is the complexity class containing decision problems which can be solved by a nondeterministic Turing machine using a logarithmic amount of memory space.

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## NP (complexity)

In computational complexity theory, NP is one of the most fundamental complexity classes.

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## NP-completeness

In computational complexity theory, a decision problem is NP-complete when it is both in NP and NP-hard.

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## NP-hardness

NP-hardness (''n''on-deterministic ''p''olynomial-time hard), in computational complexity theory, is a class of problems that are, informally, "at least as hard as the hardest problems in NP".

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## P (complexity)

In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is one of the most fundamental complexity classes.

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## P-complete

In complexity theory, the notion of P-complete decision problems is useful in the analysis of both.

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## Polynomial hierarchy

In computational complexity theory, the polynomial hierarchy (sometimes called the polynomial-time hierarchy) is a hierarchy of complexity classes that generalize the classes P, NP and co-NP to oracle machines.

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## Polynomial transformations

In mathematics, a polynomial transformation consists of computing the polynomial whose roots are a given function of the roots of polynomial.

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## PSPACE

In computational complexity theory, PSPACE is the set of all decision problems that can be solved by a Turing machine using a polynomial amount of space.

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## PSPACE-complete

In computational complexity theory, a decision problem is PSPACE-complete if it can be solved using an amount of memory that is polynomial in the input length (polynomial space) and if every other problem that can be solved in polynomial space can be transformed to it in polynomial time.

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## Reduction (complexity)

In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem.

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## Richard M. Karp

Richard Manning Karp (born January 3, 1935) is an American computer scientist and computational theorist at the University of California, Berkeley.

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## Stephen Cook

Stephen Arthur Cook, (born December 14, 1939) is a renowned American-Canadian computer scientist and mathematician who has made major contributions to the fields of complexity theory and proof complexity.

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## Subroutine

In computer programming, a subroutine is a sequence of program instructions that perform a specific task, packaged as a unit.

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## Time complexity

In computer science, the time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the length of the string representing the input.

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## Truth table

A truth table is a mathematical table used in logic—specifically in connection with Boolean algebra, boolean functions, and propositional calculus—to compute the functional values of logical expressions on each of their functional arguments, that is, on each combination of values taken by their logical variables (Enderton, 2001).

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## Truth-table reduction

In computability theory, a truth-table reduction is a reduction from one set of natural numbers to another.

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## Turing reduction

In computability theory, a Turing reduction from a problem A to a problem B, is a reduction which solves A, assuming the solution to B is already known (Rogers 1967, Soare 1987).

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## Redirects here:

Karp reduction, Polynomial reducibility, Polynomial time equivalent, Polynomial time reduction, Polynomial transformation, Polynomial-time Turing reduction, Polynomial-time equivalent, Polynomial-time many-one reduction.