Search results for "COMPUTATION"

showing 10 items of 7362 documents

Measurement of the spin-dependent structure function g1(x) of the deuteron

1993

We report on the first measurement of the spin-dependent structure function g1d of the deuteron in the deep inelastic scattering of polarised muons off polarised deuterons, in the kinematical range 0.006<x<0.6, 1 GeV2<Q2<30 GeV2. The first moment, Γ1d=sh{phonetic}01 g1d dx=0.023±0.020 (stat.) ± 0.015 (syst.), is smaller than the prediction of the Ellis-Jaffe sum rules. Using earlier measurements of g1p, we infer the first moment of the spin-dependent neutron structure function g1n. The difference Γ1p-Γ1n=0.20 ±0.05 (stat.) ± 0.04 (syst.) agrees with the prediction of the Bjorken sum rule, Γ1p-Γ1n=0.191 ±0.002.

deuteron: polarized targetNuclear and High Energy PhysicsINELASTIC E-P; POLARIZED PROTONS; SUM-RULE; SCATTERING; ELECTROPRODUCTION; ASYMMETRYINELASTIC E-PProtonpolarized target: deuterondeep inelastic scattering: muon deuteronstructure function: spinmuon deuteron: deep inelastic scatteringSUM-RULE530Nuclear physicsINELASTIC E-P; POLARIZED PROTONS; SUM-RULE; SCATTERING; ELECTROPRODUCTION; ASYMMETRY; MODELTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYSCATTERINGNeutronpolarized beam: muonSpin-½PhysicsQuantum chromodynamicsspin: structure functionMuonScatteringdeuteron: structure functionELECTROPRODUCTIONnucleon: structure functionCERN SPSDeep inelastic scatteringmomentmagnetic spectrometer: experimental resultsPOLARIZED PROTONSapprox. 100 GeVASYMMETRYSum rule in quantum mechanicsmuon: polarized beamParticle Physics - ExperimentPhysics Letters B
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Approximate Taylor methods for ODEs

2017

Abstract A new method for the numerical solution of ODEs is presented. This approach is based on an approximate formulation of the Taylor methods that has a much easier implementation than the original Taylor methods, since only the functions in the ODEs, and not their derivatives, are needed, just as in classical Runge–Kutta schemes. Compared to Runge–Kutta methods, the number of function evaluations to achieve a given order is higher, however with the present procedure it is much easier to produce arbitrary high-order schemes, which may be important in some applications. In many cases the new approach leads to an asymptotically lower computational cost when compared to the Taylor expansio…

di Bruno's formulaODE integratorsGeneral Computer ScienceTaylor methodsComputer Science (all)MathematicsofComputing_NUMERICALANALYSISGeneral EngineeringOde010103 numerical & computational mathematicsFunction (mathematics)Present procedure01 natural sciencesFaà di Bruno's formula; ODE integrators; Taylor methods; Computer Science (all); Engineering (all)010101 applied mathematicssymbols.namesakeEngineering (all)FaÃ&nbspTaylor seriessymbolsCalculusApplied mathematics0101 mathematicsMathematics
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Stability and oscillation of dynamical systems : theory and applications

2008

differentaaliyhtälöttime-varying linearizationstabilitymatemaattiset mallitfaasittietotekniikkasynchronizationsymbolic computation
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On osculation, superosculation and characteristic points. Addenda: Computations

1943

differential geometry computations
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Flow and Heat Transfer in Corrugated Passages: Direct and Large-Eddy Simulation and Comparison with Experimental Results

1993

direct simulationcomputational fluid dynamicturbulenceheat transferlarge eddy simulationPlate heat exchangerSettore ING-IND/19 - Impianti Nucleari
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Natural induction: An objective bayesian approach

2009

The statistical analysis of a sample taken from a finite population is a classic problem for which no generally accepted objective Bayesian results seem to exist. Bayesian solutions to this problem may be very sensitive to the choice of the prior, and there is no consensus as to the appropriate prior to use.

education.field_of_studyAlgebra and Number Theorybusiness.industryApplied MathematicsBayesian probabilityPopulationBayes factorSample (statistics)Machine learningcomputer.software_genreBinomial distributionBayesian statisticsComputational MathematicsEconometricsBayesian hierarchical modelingGeometry and TopologyArtificial intelligencebusinesseducationcomputerAnalysisJeffreys priorMathematicsRevista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A. Matematicas
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Solving a model for the evolution of smoking habit in Spain with homotopy analysis method

2013

We obtain an approximated analytical solution for a dynamic model for the prevalence of the smoking habit in a constant population but with equal and different from zero birth and death rates. This model has been successfully used to explain the evolution of the smoking habit in Spain. By means of the Homotopy Analysis Method, we obtain an analytic expression in powers of time t which reproduces the correct solution for a certain range of time. To enlarge the domain of convergence we have applied the so-called optimal convergence-control parameter technique and the homotopy-Padé technique. We present and discuss graphical results for our solutions. ©

education.field_of_studyApplied MathematicsPopulationMathematical analysisGeneral EngineeringGeneral MedicineDynamic modelBirth–death processDomain (mathematical analysis)Homotopy-Padé techniqueSmoking modelComputational MathematicsRange (mathematics)Homotopy analysis methodEpidemic modelConvergence (routing)educationEpidemic modelConstant (mathematics)MATEMATICA APLICADAGeneral Economics Econometrics and FinanceAnalysisHomotopy analysis methodMathematics
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DAE-GP

2020

Estimation of distribution genetic programming (EDA-GP) algorithms are metaheuristics where sampling new solutions from a learned probabilistic model replaces the standard mutation and recombination operators of genetic programming (GP). This paper presents DAE-GP, a new EDA-GP which uses denoising autoencoder long short-term memory networks (DAE-LSTMs) as probabilistic model. DAE-LSTMs are artificial neural networks that first learn the properties of a parent population by mapping promising candidate solutions to a latent space and reconstructing the candidate solutions from the latent space. The trained model is then used to sample new offspring solutions. We show on a generalization of t…

education.field_of_studyArtificial neural networkbusiness.industryComputer scienceOffspringPopulationProbabilistic logicGenetic programmingStatistical model0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesTree (data structure)Estimation of distribution algorithm010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesseducationcomputerMetaheuristicProceedings of the 2020 Genetic and Evolutionary Computation Conference
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Conformational equilibrium of chorismate. A QM/MM theoretical study combining statistical simulations and geometry optimisations in gas phase and in …

2003

We report a theoretical study on the conformational equilibrium of chorismate that precedes its rearrangement to prephenate, an important enzyme-catalyzed reaction. In first place we show that the usual classification of chorismate conformers based on the relative position of the hydroxyl and ether bridge, pseudo-diaxial and pseudo-diequatorial, is not the only relevant factor from the point of view of the a posteriori rearrangement. Here we also analyse another complementary geometrical classification based on the interatomic distance between the carbon atoms to be bounded. Using the umbrella sampling approach and this distance as distinguished internal reaction coordinate, the gas phase A…

education.field_of_studyChemistryPopulationThermodynamicsDihedral angleCondensed Matter PhysicsBiochemistryReaction coordinateFree energy perturbationQM/MMComputational chemistryPotential energy surfacePhysical and Theoretical ChemistryUmbrella samplingeducationConformational isomerismJournal of Molecular Structure: THEOCHEM
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Sensitivity analysis of mesh warping and subsampling strategies for generating large scale electrophysiological simulation data

2011

The analysis of large-scale simulation data from virtual populations can be effective to gain computational insight into disease mechanisms and treatment strategies, which can serve for generating hypotheses for and focusing subsequent clinical trials. This can be instrumental in shortening the critical path in medical product development and more cost-effective clinical trials. A previously published pipeline established point correspondence among volumetric meshes to enable meaningful statistics on cardiac electrophysiological simulations on the anatomical distribution of a large-scale virtual population. Thin Plate Splines (TPS), derived from surface deformations, were used to warp a tem…

education.field_of_studyComputer scienceComputationPipeline (computing)Population02 engineering and technologyVolume mesh030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicinePoint distribution model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPolygon meshImage warpingThin plate splineeducationAlgorithmSimulation
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