Search results for "Complexity class"

showing 10 items of 14 documents

Positive Versions of Polynomial Time

1998

Abstract We show that restricting a number of characterizations of the complexity class P to be positive (in natural ways) results in the same class of (monotone) problems, which we denote by posP . By a well-known result of Razborov, posP is a proper subclass of the class of monotone problems in P . We exhibit complete problems for posP via weak logical reductions, as we do for other logically defined classes of problems. Our work is a continuation of research undertaken by Grigni and Sipser, and subsequently Stewart; indeed, we introduce the notion of a positive deterministic Turing machine and consequently solve a problem posed by Grigni and Sipser.

Class (set theory)Computational complexity theoryAlgorithmic logicTheoretical Computer ScienceComputer Science ApplicationsCombinatoricsTuring machinesymbols.namesakeMonotone polygonNon-deterministic Turing machineComputational Theory and MathematicsComplexity classsymbolsTime complexityMathematicsInformation Systems
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Descriptive Complexity, Lower Bounds and Linear Time

1999

This paper surveys two related lines of research: Logical characterizations of (non-deterministic) linear time complexity classes, and non-expressibility results concerning sublogics of existential second-order logic. Starting from Fagin’s fundamental work there has been steady progress in both fields with the effect that the weakest logics that are used in characterizations of linear time complexity classes are closely related to the strongest logics for which inexpressibility proofs for concrete problems have been obtained. The paper sketches these developments and highlights their connections as well as the obstacles that prevent us from closing the remaining gap between both kinds of lo…

Computational complexity theoryComputer scienceDescriptive complexity theoryMathematical proofCombinatoricsTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRegular languageCalculusComplexity classsymbolsUnary functionTime complexity
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On positive P

2002

Continuing a line of research opened up by Grigni and Sipser (1992) and further pursued by Stewart (1994), we show that a wide variety of equivalent characterizations of P still remain equivalent when restricted to be positive. All these restrictions thus define the same class posP, a proper subclass of monP, the class of monotone problems in P. We also exhibit complete problems for posP under very weak reductions.

Discrete mathematicsCombinatoricsClass (set theory)Monotone polygonBoolean circuitComplexity classVariety (universal algebra)Boolean functionTime complexitySubclassMathematicsProceedings of Computational Complexity (Formerly Structure in Complexity Theory)
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Padding and the expressive power of existential second-order logics

1998

Padding techniques are well-known from Computational Complexity Theory. Here, an analogous concept is considered in the context of existential second-order logics. Informally, a graph H is a padded version of a graph G, if H consists of an isomorphic copy of G and some isolated vertices. A set A of graphs is called weakly expressible by a formula ϕ in the presence of padding, if ϕ is able to distinguish between (sufficiently) padded versions of graphs from A and padded versions of graphs that are not in A.

Discrete mathematicsComputational complexity theoryComputer sciencePaddingExpressive powerExistentialismGraphVertex (geometry)CombinatoricsLogical programmingComplexity classIsomorphismUnary functionMathematicsofComputing_DISCRETEMATHEMATICS
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Reordering Method and Hierarchies for Quantum and Classical Ordered Binary Decision Diagrams

2017

We consider Quantum OBDD model. It is restricted version of read-once Quantum Branching Programs, with respect to “width” complexity. It is known that maximal complexity gap between deterministic and quantum model is exponential. But there are few examples of such functions. We present method (called “reordering”), which allows to build Boolean function g from Boolean Function f, such that if for f we have gap between quantum and deterministic OBDD complexity for natural order of variables, then we have almost the same gap for function g, but for any order. Using it we construct the total function REQ which deterministic OBDD complexity is \(2^{\varOmega (n/log n)}\) and present quantum OBD…

Discrete mathematicsComputational complexity theoryImplicit functionBinary decision diagram010102 general mathematics0102 computer and information sciencesFunction (mathematics)Computer Science::Artificial IntelligenceComputer Science::Computational Complexity01 natural sciencesCombinatorics010201 computation theory & mathematicsComputer Science::Logic in Computer ScienceComplexity class0101 mathematicsBoolean functionQuantum complexity theoryQuantum computerMathematics
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Dichotomies properties on computational complexity of S-packing coloring problems

2015

This work establishes the complexity class of several instances of the S -packing coloring problem: for a graph G , a positive integer k and a nondecreasing list of integers S = ( s 1 , ? , s k ) , G is S -colorable if its vertices can be partitioned into sets S i , i = 1 , ? , k , where each S i is an s i -packing (a set of vertices at pairwise distance greater than s i ). In particular we prove a dichotomy between NP-complete problems and polynomial-time solvable problems for lists of at most four integers.

Discrete mathematicsDichotomyComputational complexity theory010102 general mathematics0102 computer and information sciences01 natural sciencesGraphTheoretical Computer ScienceCombinatoricsIntegerSet packing010201 computation theory & mathematicsComplexity classDiscrete Mathematics and CombinatoricsPairwise comparison0101 mathematicsColoring problemMathematicsDiscrete Mathematics
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On Physical Problems that are Slightly More Difficult than QMA

2013

We study the complexity of computational problems from quantum physics. Typically, they are studied using the complexity class QMA (quantum counterpart of NP) but some natural computational problems appear to be slightly harder than QMA. We introduce new complexity classes consisting of problems that are solvable with a small number of queries to a QMA oracle and use these complexity classes to quantify the complexity of several natural computational problems (for example, the complexity of estimating the spectral gap of a Hamiltonian).

Discrete mathematicsFOS: Computer and information sciencesQuantum PhysicsTheoretical computer scienceCompleteNP-easyFOS: Physical sciences0102 computer and information sciencesComputer Science::Computational ComplexityComputational Complexity (cs.CC)01 natural sciencesPHStructural complexity theoryComputer Science - Computational Complexity010201 computation theory & mathematics0103 physical sciencesAsymptotic computational complexityComplexity classF.1.2Low010306 general physicsQuantum Physics (quant-ph)Quantum complexity theoryMathematics2014 IEEE 29th Conference on Computational Complexity (CCC)
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Machine-Independent Characterizations and Complete Problems for Deterministic Linear Time

2002

This article presents two algebraic characterizations and two related complete problems for the complexity class DLIN that was introduced in [E. Grandjean, Ann. Math. Artif. Intell., 16 (1996), pp. 183--236]. DLIN is essentially the class of all functions that can be computed in linear time on a Random Access Machine which uses only numbers of linear value during its computations. The algebraic characterizations are in terms of recursion schemes that define unary functions. One of these schemes defines several functions simultaneously, while the other one defines only one function. From the algebraic characterizations, we derive two complete problems for DLIN under new, very strict, and mac…

Discrete mathematicsGeneral Computer ScienceUnary operationGeneral Mathematics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Recursion (computer science)[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyFunction (mathematics)01 natural sciencesRandom-access machine010201 computation theory & mathematicsCompleteness (order theory)0202 electrical engineering electronic engineering information engineeringComplexity class020201 artificial intelligence & image processingAlgebraic numberTime complexityMathematics
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The Monadic Quantifier Alternation Hierarchy over Grids and Graphs

2002

AbstractThe monadic second-order quantifier alternation hierarchy over the class of finite graphs is shown to be strict. The proof is based on automata theoretic ideas and starts from a restricted class of graph-like structures, namely finite two-dimensional grids. Considering grids where the width is a function of the height, we prove that the difference between the levels k+1 and k of the monadic hierarchy is witnessed by a set of grids where this function is (k+1)-fold exponential. We then transfer the hierarchy result to the class of directed (or undirected) graphs, using an encoding technique called strong reduction. It is notable that one can obtain sets of graphs which occur arbitrar…

Discrete mathematicsPolynomial hierarchyDirected graphMonadic predicate calculusAutomatonTheoretical Computer ScienceComputer Science ApplicationsCombinatoricsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and MathematicsAnalytical hierarchyComplexity classAutomata theoryGraph propertyMathematicsInformation SystemsInformation and Computation
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Locality of order-invariant first-order formulas

1998

A query is local if the decision of whether a tuple in a structure satisfies this query only depends on a small neighborhood of the tuple. We prove that all queries expressible by order-invariant first-order formulas are local.

Discrete mathematicsRelational databaseComputer Science::Information RetrievalInformationSystems_INFORMATIONSTORAGEANDRETRIEVALLocalityStructure (category theory)InformationSystems_DATABASEMANAGEMENTFirst orderComplexity classOrder (group theory)Invariant (mathematics)TupleAlgorithmComputer Science::DatabasesMathematics
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