Search results for "Mathematica"

showing 10 items of 7971 documents

RationalizeRoots: Software Package for the Rationalization of Square Roots

2019

The computation of Feynman integrals often involves square roots. One way to obtain a solution in terms of multiple polylogarithms is to rationalize these square roots by a suitable variable change. We present a program that can be used to find such transformations. After an introduction to the theoretical background, we explain in detail how to use the program in practice.

FOS: Computer and information sciencesComputer Science - Symbolic ComputationHigh Energy Physics - TheoryHigh energy particleFeynman integralComputationGeneral Physics and AstronomyFOS: Physical sciencesengineering.materialSymbolic Computation (cs.SC)Rationalization (economics)01 natural sciences010305 fluids & plasmasHigh Energy Physics - Phenomenology (hep-ph)Square root0103 physical sciencesComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONAlgebraic number010306 general physicsMathematical PhysicsVariable (mathematics)MapleMathematical Physics (math-ph)AlgebraHigh Energy Physics - PhenomenologyHigh Energy Physics - Theory (hep-th)Hardware and ArchitectureengineeringComputer Science - Mathematical SoftwareMathematical Software (cs.MS)
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Visibly pushdown modular games,

2014

Games on recursive game graphs can be used to reason about the control flow of sequential programs with recursion. In games over recursive game graphs, the most natural notion of strategy is the modular strategy, i.e., a strategy that is local to a module and is oblivious to previous module invocations, and thus does not depend on the context of invocation. In this work, we study for the first time modular strategies with respect to winning conditions that can be expressed by a pushdown automaton. We show that such games are undecidable in general, and become decidable for visibly pushdown automata specifications. Our solution relies on a reduction to modular games with finite-state automat…

FOS: Computer and information sciencesComputer Science::Computer Science and Game TheoryComputer Science - Logic in Computer ScienceTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceFormal Languages and Automata Theory (cs.FL)Computer scienceComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)Pushdown01 natural scienceslcsh:QA75.5-76.95Theoretical Computer ScienceComputer Science - Computer Science and Game TheoryComputer Science::Logic in Computer Science0202 electrical engineering electronic engineering information engineeringTemporal logicRecursionbusiness.industrylcsh:MathematicsGames; Modular; Pushdown; Theoretical Computer Science; Information Systems; Computer Science Applications; Computational Theory and MathematicsPushdown automatonModular designDecision problemlcsh:QA1-939Logic in Computer Science (cs.LO)Computer Science ApplicationsUndecidable problemDecidabilityNondeterministic algorithmComputer Science - Computational ComplexityModularTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and Mathematics010201 computation theory & mathematics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceGamesbusinessComputer Science::Formal Languages and Automata TheoryComputer Science and Game Theory (cs.GT)Information SystemsInformation and Computation
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Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop

2018

Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologically plausible explanations for many cognitive phenomena, including consciousness. In active inference, action selection is driven by an objective function that evaluates possible future actions with respect to current, inferred beliefs about the world. Active inference at its core is independent from extrinsic rewards, resulting in a high level of robustness across e.g.\ different environments or agent morphologies. In the literature, paradigms that share this independence have been summarised under the notion of in…

FOS: Computer and information sciencesComputer scienceComputer Science - Artificial Intelligencepredictive informationBiomedical EngineeringInferenceSystems and Control (eess.SY)02 engineering and technologyAction selectionI.2.0; I.2.6; I.5.0; I.5.1lcsh:RC321-57103 medical and health sciences0302 clinical medicineactive inferenceArtificial IntelligenceFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringFormal concept analysisMethodsperception-action loopuniversal reinforcement learningintrinsic motivationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryFree energy principleCognitive scienceRobotics and AII.5.0I.5.1I.2.6Partially observable Markov decision processI.2.0Artificial Intelligence (cs.AI)Action (philosophy)empowermentIndependence (mathematical logic)free energy principleComputer Science - Systems and Control020201 artificial intelligence & image processingBiological plausibility62F15 91B06030217 neurology & neurosurgeryvariational inference
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Multi-GPU Accelerated Multi-Spin Monte Carlo Simulations of the 2D Ising Model

2010

A Modern Graphics Processing unit (GPU) is able to perform massively parallel scientific computations at low cost. We extend our implementation of the checkerboard algorithm for the two-dimensional Ising model [T. Preis et al., Journal of Chemical Physics 228 (2009) 4468–4477] in order to overcome the memory limitations of a single GPU which enables us to simulate significantly larger systems. Using multi-spin coding techniques, we are able to accelerate simulations on a single GPU by factors up to 35 compared to an optimized single Central Processor Unit (CPU) core implementation which employs multi-spin coding. By combining the Compute Unified Device Architecture (CUDA) with the Message P…

FOS: Computer and information sciencesComputer scienceMonte Carlo methodGraphics processing unitFOS: Physical sciencesGeneral Physics and AstronomyMathematical Physics (math-ph)Parallel computingGPU clusterComputational Physics (physics.comp-ph)Graphics (cs.GR)Computational scienceCUDAComputer Science - GraphicsHardware and ArchitectureIsing modelCentral processing unitGeneral-purpose computing on graphics processing unitsMassively parallelPhysics - Computational PhysicsMathematical Physics
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Multi-scale analysis of the European airspace using network community detection

2014

We show that the European airspace can be represented as a multi-scale traffic network whose nodes are airports, sectors, or navigation points and links are defined and weighted according to the traffic of flights between the nodes. By using a unique database of the air traffic in the European airspace, we investigate the architecture of these networks with a special emphasis on their community structure. We propose that unsupervised network community detection algorithms can be used to monitor the current use of the airspaces and improve it by guiding the design of new ones. Specifically, we compare the performance of three community detection algorithms, also by using a null model which t…

FOS: Computer and information sciencesDatabases FactualDistributed computingSocial SciencesPoison controllcsh:MedicineSociologycommunity detectionData Mininglcsh:SciencePhysicsMultidisciplinaryMathematical modelApplied MathematicsPhysicsCommunity structureComputer Science - Social and Information NetworksAir traffic controlAir TravelSocial NetworksPhysical SciencesInterdisciplinary PhysicsSocial SystemsEngineering and TechnologyFree flightInformation TechnologyNetwork AnalysisAlgorithmsResearch ArticlePhysics - Physics and SocietyComputer and Information SciencesControl (management)FOS: Physical sciencesComputerApplications_COMPUTERSINOTHERSYSTEMSPhysics and Society (physics.soc-ph)Statistical MechanicsDatabasescomplex networkHumansArchitectureNetworks network communities socio-technical system complex systems Air Traffic ManagementSocial and Information Networks (cs.SI)Null modellcsh:RModels TheoreticalSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computational SociologySignal ProcessingAir trafficlcsh:QMathematics
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Splicing Systems from Past to Future: Old and New Challenges

2014

A splicing system is a formal model of a recombinant behaviour of sets of double stranded DNA molecules when acted on by restriction enzymes and ligase. In this survey we will concentrate on a specific behaviour of a type of splicing systems, introduced by P\u{a}un and subsequently developed by many researchers in both linear and circular case of splicing definition. In particular, we will present recent results on this topic and how they stimulate new challenging investigations.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Formal Languages and Automata Theory (cs.FL)Splicing Systems Formal Languages.ACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.3: Formal LanguagesACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.2: Grammars and Other Rewriting SystemsComputer Science - Formal Languages and Automata TheorySplicing Systems Formal languages Regular languages DNA computingComputingMilieux_MISCELLANEOUS[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Computer Science - Discrete Mathematics
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Computational Limitations of Affine Automata

2019

We present two new results on the computational limitations of affine automata. First, we show that the computation of bounded-error rational-values affine automata is simulated in logarithmic space. Second, we give an impossibility result for algebraic-valued affine automata. As a result, we identify some unary languages (in logarithmic space) that are not recognized by algebraic-valued affine automata with cutpoints.

FOS: Computer and information sciencesDiscrete mathematics050101 languages & linguisticsTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESUnary operationFormal Languages and Automata Theory (cs.FL)Computer scienceComputation05 social sciencesComputer Science - Formal Languages and Automata Theory02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Nonlinear Sciences::Cellular Automata and Lattice GasesLogarithmic spaceAutomatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesAffine transformationImpossibilityComputer Science::Formal Languages and Automata TheoryComputingMilieux_MISCELLANEOUS
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The quantum query complexity of certification

2009

We study the quantum query complexity of finding a certificate for a d-regular, k-level balanced NAND formula. Up to logarithmic factors, we show that the query complexity is Theta(d^{(k+1)/2}) for 0-certificates, and Theta(d^{k/2}) for 1-certificates. In particular, this shows that the zero-error quantum query complexity of evaluating such formulas is O(d^{(k+1)/2}) (again neglecting a logarithmic factor). Our lower bound relies on the fact that the quantum adversary method obeys a direct sum theorem.

FOS: Computer and information sciencesDiscrete mathematicsQuantum Physics0209 industrial biotechnologyNuclear and High Energy PhysicsQuantum queryComputer scienceDirect sumFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear Physics0102 computer and information sciences02 engineering and technologyCertificationComputational Complexity (cs.CC)Certificate01 natural sciencesTheoretical Computer ScienceComputer Science - Computational Complexity020901 industrial engineering & automationComputational Theory and Mathematics010201 computation theory & mathematicsQuantum Physics (quant-ph)QuantumMathematical PhysicsQuantum Information and Computation
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Fast MATLAB assembly of FEM matrices in 2D and 3D: Edge elements

2014

We propose an effective and flexible way to assemble finite element stiffness and mass matrices in MATLAB. We apply this for problems discretized by edge finite elements. Typical edge finite elements are Raviart-Thomas elements used in discretizations of H(div) spaces and Nedelec elements in discretizations of H(curl) spaces. We explain vectorization ideas and comment on a freely available MATLAB code which is fast and scalable with respect to time.

FOS: Computer and information sciencesDiscretizationfinite element method97N80 65M60Matlab codeComputational scienceMathematics::Numerical AnalysisMATLAB code vectorizationmedicineFOS: MathematicsMathematics - Numerical AnalysisMATLABMathematicscomputer.programming_languageCurl (mathematics)ta113Nédélec elementApplied Mathematicsta111StiffnessRaviart–Thomas elementMixed finite element methodNumerical Analysis (math.NA)Finite element methodComputational Mathematicsedge elementScalabilityComputer Science - Mathematical Softwaremedicine.symptomcomputerMathematical Software (cs.MS)
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New Results on Vector and Homing Vector Automata

2019

We present several new results and connections between various extensions of finite automata through the study of vector automata and homing vector automata. We show that homing vector automata outperform extended finite automata when both are defined over $ 2 \times 2 $ integer matrices. We study the string separation problem for vector automata and demonstrate that generalized finite automata with rational entries can separate any pair of strings using only two states. Investigating stateless homing vector automata, we prove that a language is recognized by stateless blind deterministic real-time version of finite automata with multiplication iff it is commutative and its Parikh image is …

FOS: Computer and information sciencesFinite-state machineTheoretical computer scienceTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFormal Languages and Automata Theory (cs.FL)Computer science010102 general mathematicsComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesNonlinear Sciences::Cellular Automata and Lattice Gases01 natural sciencesAutomatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematicsComputer Science (miscellaneous)0101 mathematicsComputer Science::Formal Languages and Automata TheoryHoming (hematopoietic)
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