Search results for "computational complexity"

showing 9 items of 249 documents

Scheduling stretched coupled-tasks with compatibilities constraints : model, complexity and approximation results for some class of graphs

2014

We tackle the makespan minimization coupled-tasks problem in presence of compatibility constraints. In particular, we focus on stretched coupled-tasks, {\it i.e.}coupled-tasks having the same sub-tasks execution time and idle time duration. We study severals problems in frame works of classic complexity and approximation for which the compatibility graph $G_c$ is bipartite (star, chain, $\ldots$) In such context, we design some efficient polynomial-time approximation algorithms according to difference parameters of the scheduling problem. When $G_c$ is a $k$-stage bipartite graph, we propose, among other, a $\frac{7}{6}$-approximation algorithm when $k=1$, and a $\frac{13}{9}$-approximation…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC][ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC][INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC]schedulingcoupled-taskscomplexityapproximation algorithmcompatibility graph
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Full CNF Encoding: The Counting Constraints Case

2004

Many problems are naturally expressed using CNF clauses and boolean cardinality constraints. It is generally believed that solving such problems through pure CNF encoding is inefficient, so many authors has proposed specialized algorithms : the pseudo-boolean solvers. In this paper we show that an appropriate pure CNF encoding can be competitive with these specialized methods. In conjunction with our encoding, we propose a slight modification of the DLL procedure that allows any DLL-based SAT solver to solve boolean cardinality optimization problems. We show experimentally that our encoding allows zchaff to be competitive with pseudo-boolean solvers on some decision and optimization problem…

[SCCO.COMP] Cognitive science/Computer scienceComputer Science::Logic in Computer Science[ SCCO.COMP ] Cognitive science/Computer science[SCCO.COMP]Cognitive science/Computer scienceComputer Science::Computational Complexity
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A Translation of Pseudo Boolean Constraints to SAT

2006

Research note; This paper introduces a new CNF encoding of pseudo-Boolean constraints, which allows unit propagation to maintain generalized arc consistency. In the worst case, the size of the produced formula can be exponentially related to the size of the input constraint, but some important classes of pseudo-Boolean constraints, including Boolean cardinality constraints, are encoded in polynomial time and size. The proposed encoding was integrated in a solver based on the zCha SAT solver and submitted to the PB05 evaluation. The results provide new perspectives in the field of full CNF approach of pseudo-Boolean constraints solving.

[SCCO.COMP] Cognitive science/Computer sciencepseudo-Boolean[ SCCO.COMP ] Cognitive science/Computer science[SCCO.COMP]Cognitive science/Computer scienceComputer Science::Computational ComplexitySAT translatio
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Probabilistic Logic under Coherence: Complexity and Algorithms

2005

In previous work [V. Biazzo, A. Gilio, T. Lukasiewicz and G. Sanfilippo, Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P, Journal of Applied Non-Classical Logics 12(2) (2002) 189---213.], we have explored the relationship between probabilistic reasoning under coherence and model-theoretic probabilistic reasoning. In particular, we have shown that the notions of g-coherence and of g-coherent entailment in probabilistic reasoning under coherence can be expressed by combining notions in model-theoretic probabilistic reasoning with concepts from default reasoning. In this paper, we continue this line of research. Based on the above sem…

conditional probability assessmentSettore MAT/06 - Probabilita' E Statistica MatematicaDivergence-from-randomness modelalgorithmsprobabilistic logicConditional probability assessments; probabilistic logic; g-coherence; g-coherent entailment; complexity and algorithms.Artificial IntelligenceProbabilistic logic networkprobabilistic logic under coherenceConditional probability assessmentsProbabilistic analysis of algorithmsNon-monotonic logicconditional constraintMathematicsg-coherent entailmentConditional probability assessments probabilistic logic g-coherence g-coherent entailment complexity and algorithms.Reasoning systemcomputational complexitymodel-theoretic probabilistic logicApplied Mathematicscomplexity and algorithmsProbabilistic logiclogical constraintProbabilistic argumentationg-coherenceconditional probability assessment logical constraint conditional constraint probabilistic logic under coherence model-theoretic probabilistic logic g-coherence g-coherent entailment computational complexity algorithmsProbabilistic CTLalgorithms; computational complexity; conditional constraint; conditional probability assessment; g-coherence; g-coherent entailment; logical constraint; model-theoretic probabilistic logic; probabilistic logic under coherenceAlgorithmAnnals of Mathematics and Artificial Intelligence
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A Neuro-Ethological Approach for the TSP: Changing Metaphors in Connectionist Models.

1994

Biological systems often offer solutions to difficult problems which are not only original but also efficient. Connectionist models have been inspired by neural systems and successfully applied to the formulation of algorithms for solving complex problems such as the travelling salesman problem. In this paper we extend the connectionist metaphor to include an ethological account of how problems similar to the travelling salesman problem are solved by real living systems. A model is presented in which a population of neural networks with simple sensory-motor systems evolve genetically in simulated environments which represent the problem instances to be solved. Preliminary results are discu…

education.field_of_studyEcologyComputational complexity theoryArtificial neural networkComputer scienceMetaphorbusiness.industryApplied Mathematicsmedia_common.quotation_subjectPopulationGeneral MedicineAgricultural and Biological Sciences (miscellaneous)Travelling salesman problemLiving systemsConnectionismSimple (abstract algebra)Artificial intelligenceeducationbusinessmedia_common
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Varieties Generated by Certain Models of Reversible Finite Automata

2006

Reversible finite automata with halting states (RFA) were first considered by Ambainis and Freivalds to facilitate the research of Kondacs-Watrous quantum finite automata. In this paper we consider some of the algebraic properties of RFA, namely the varieties these automata generate. Consequently, we obtain a characterization of the boolean closure of the classes of languages recognized by these models.

finite monoidNested word[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Quantum automaton0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science::Computational Complexityω-automatonregular language01 natural sciences[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]Regular languageQuantum finite automata0101 mathematicsReversible automatonMathematicsDiscrete mathematicsFinite-state machine010102 general mathematicsNonlinear Sciences::Cellular Automata and Lattice GasesMR 68Q70AutomatonClosure (mathematics)010201 computation theory & mathematicsAutomata theoryComputer Science::Formal Languages and Automata Theory
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The Syllogistic with Unity

2011

We extend the language of the classical syllogisms with the sentence-forms “At most 1 p is a q” and “More than 1 p is a q”. We show that the resulting logic does not admit a finite set of syllogism-like rules whose associated derivation relation is sound and complete, even when reductio ad absurdum is allowed.

logic and natural languageFOS: Computer and information sciencesPure mathematicsComputer Science - Logic in Computer Sciencecomputational complexityComputational complexity theoryComputational logicSyllogismMathematics - Logicproof theorysyllogismsDerivation relationLogic in Computer Science (cs.LO)Reductio ad absurdumPhilosophyPhilosophy of logicProof theoryCalculusFOS: MathematicsF.4.0Logic (math.LO)Finite setMathematics03B65
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Logic and the Myth of the Perfect Language

2010

We argue that the dream of a ‘perfect language’ – namely, a universal, unambiguous and semantically transparent medium of expression –, whose intriguing story has been told by Umberto Eco (1993), is deeply intertwined with the myth of instant rationality: the idea that a perfect language is one in which all logical relations becomeimmediatly visible, so that the language itself “does the thinkingfor us” (Frege 1884). In the first part of this paper we trace this versionof the dream in the works of Leibniz, Frege, Russell and Wittgenstein. In the second part we re-examine it in the light of more recent negative results in logic and theoretical computer science.

logiccomputa- tional complexitycomputational complexity.perfect languageSettore M-FIL/05 - Filosofia E Teoria Dei Linguaggiperfect language; instant rationality; logic; computa- tional complexityinstant rationality
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Very narrow quantum OBDDs and width hierarchies for classical OBDDs

2014

In the paper we investigate a model for computing of Boolean functions - Ordered Binary Decision Diagrams (OBDDs), which is a restricted version of Branching Programs. We present several results on the comparative complexity for several variants of OBDD models. - We present some results on the comparative complexity of classical and quantum OBDDs. We consider a partial function depending on a parameter k such that for any k > 0 this function is computed by an exact quantum OBDD of width 2, but any classical OBDD (deterministic or stable bounded-error probabilistic) needs width 2 k+1. - We consider quantum and classical nondeterminism. We show that quantum nondeterminism can be more efficien…

nondeterminismFOS: Computer and information sciencespartial functionsGeneral Mathematicsquantum computation010102 general mathematics0102 computer and information sciencesOBDDComputational Complexity (cs.CC)Computer Science::Artificial IntelligenceComputer Science::Computational Complexity01 natural scienceswidth hierarchyComputer Science - Computational Complexity010201 computation theory & mathematicsComputer Science::Logic in Computer Science0101 mathematics
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