Search results for " computational"

showing 10 items of 661 documents

Error identities for variational problems with obstacles

2017

010101 applied mathematicsApplied MathematicsComputational Mechanics010103 numerical & computational mathematics0101 mathematics01 natural sciencesMathematicsZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
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Аппроксимации по мере: задача Дирихле, универсальность и гипотеза Римана

2021

Аппроксимации по мере используются для решения асимптотической задачи Дирихле на произвольных открытых множествах, а также для демонстрации того обстоятельства, что многие функции, в том числе дзета-функция Римана, универсальны в смысле сходимости по мере. Выдвигается предположение о связи этих результатов с гипотезой Римана. Библиография: 12 наименований.

010102 general mathematics010103 numerical & computational mathematics0101 mathematics01 natural sciencesИзвестия Российской академии наук. Серия математическая
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Removing the saturation assumption in Bank-Weiser error estimator analysis in dimension three

2020

International audience; We provide a new argument proving the reliability of the Bank-Weiser estimator for Lagrange piecewise linear finite elements in both dimension two and three. The extension to dimension three constitutes the main novelty of our study. In addition, we present a numerical comparison of the Bank-Weiser and residual estimators for a three-dimensional test case.

010103 numerical & computational mathematicsResidual01 natural sciencesPiecewise linear function: Multidisciplinaire généralités & autres [C99] [Ingénierie informatique & technologie]Dimension (vector space)Bank-Weiser estimatorApplied mathematicsfinite element methodssaturation assumption0101 mathematicsReliability (statistics)Mathematicsresidual estimatorBank-WeiserestimatorApplied Mathematics: Multidisciplinary general & others [C99] [Engineering computing & technology]NoveltyEstimatorExtension (predicate logic)16. Peace & justiceFinite element methoda posteriori error estimation010101 applied mathematics: Mathematics [G03] [Physical chemical mathematical & earth Sciences]: Mathématiques [G03] [Physique chimie mathématiques & sciences de la terre][MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Mathematical modelling of the feed rod shape in floating zone silicon crystal growth

2017

Abstract A three-dimensional (3D) transient multi-physical model of the feed rod melting in the floating zone (FZ) silicon single-crystal growth process is presented. Coupled temperature, electromagnetic (EM), and melt film simulations are performed for a 4 inch FZ system, and the time evolution of the open melting front is studied. The 3D model uses phase boundaries and parameters from a converged solution of a quasi-stationary axisymmetric (2D) model of the FZ system as initial conditions for the time dependent simulations. A parameter study with different feed rod rotation, crystal pull rates and widths of the inductor main slit is carried out to analyse their influence on the evolution …

010302 applied physicsMaterials scienceSiliconbusiness.industryRotational symmetryTime evolutionPhase (waves)chemistry.chemical_element010103 numerical & computational mathematicsMechanicsCondensed Matter PhysicsRotation01 natural sciencesCondensed Matter::Soft Condensed MatterInorganic ChemistryMonocrystalline siliconCrystalOpticschemistry0103 physical sciencesMaterials ChemistryTransient (oscillation)0101 mathematicsbusinessJournal of Crystal Growth
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Multiscale model approach for magnetization dynamics simulations

2016

Simulations of magnetization dynamics in a multiscale environment enable the rapid evaluation of the Landau-Lifshitz-Gilbert equation in a mesoscopic sample with nanoscopic accuracy in areas where such accuracy is required. We have developed a multiscale magnetization dynamics simulation approach that can be applied to large systems with spin structures that vary locally on small length scales. To implement this, the conventional micromagnetic simulation framework has been expanded to include a multiscale solving routine. The software selectively simulates different regions of a ferromagnetic sample according to the spin structures located within in order to employ a suitable discretization…

010302 applied physicsPhysicsMesoscopic physicsMagnetization dynamicsCondensed Matter - Mesoscale and Nanoscale PhysicsScale (ratio)DiscretizationAttenuationFOS: Physical sciencesComputational Physics (physics.comp-ph)01 natural sciencesSpin waveMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesStatistical physics010306 general physicsPhysics - Computational PhysicsNanoscopic scaleSpin-½Physical Review B
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Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications

2019

Nanostructured materials are essential building blocks for the fabrication of new devices for energy harvesting/storage, sensing, catalysis, magnetic, and optoelectronic applications. However, because of the increase of technological needs, it is essential to identify new functional materials and improve the properties of existing ones. The objective of this Viewpoint is to examine the state of the art of atomic-scale simulative and experimental protocols aimed to the design of novel functional nanostructured materials, and to present new perspectives in the relative fields. This is the result of the debates of Symposium I "Atomic-scale design protocols towards energy, electronic, catalysis…

010405 organic chemistrySensing applicationsChemistryNanostructured materials: Physics [G04] [Physical chemical mathematical & earth Sciences]Physik (inkl. Astronomie)010402 general chemistry01 natural sciencesAtomic units0104 chemical sciencesInorganic Chemistry: Physique [G04] [Physique chimie mathématiques & sciences de la terre]Systems engineeringMultilayers | Interfaces (materials) | Individual layermaterials theory computational DFT modellingPhysical and Theoretical ChemistryEnergy harvestingEnergy (signal processing)Inorganic Chemistry
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Stochastic Galerkin method for cloud simulation

2018

AbstractWe develop a stochastic Galerkin method for a coupled Navier-Stokes-cloud system that models dynamics of warm clouds. Our goal is to explicitly describe the evolution of uncertainties that arise due to unknown input data, such as model parameters and initial or boundary conditions. The developed stochastic Galerkin method combines the space-time approximation obtained by a suitable finite volume method with a spectral-type approximation based on the generalized polynomial chaos expansion in the stochastic space. The resulting numerical scheme yields a second-order accurate approximation in both space and time and exponential convergence in the stochastic space. Our numerical results…

010504 meteorology & atmospheric sciencesComputer scienceuncertainty quantificationQC1-999cloud dynamicsFOS: Physical sciencesCloud simulation65m15010103 numerical & computational mathematics01 natural sciencespattern formationMeteorology. ClimatologyFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsStochastic galerkin0105 earth and related environmental sciencesnavier-stokes equationsPhysics65m2565l05Numerical Analysis (math.NA)65m06Computational Physics (physics.comp-ph)stochastic galerkin method35l4535l65finite volume schemesQC851-999Physics - Computational Physicsimex time discretization
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Extended two-body problem for rotating rigid bodies

2021

A new technique that utilizes surface integrals to find the force, torque and potential energy between two non-spherical, rigid bodies is presented. The method is relatively fast, and allows us to solve the full rigid two-body problem for pairs of spheroids and ellipsoids with 12 degrees of freedom. We demonstrate the method with two dimensionless test scenarios, one where tumbling motion develops, and one where the motion of the bodies resemble spinning tops. We also test the method on the asteroid binary (66391) 1999 KW4, where both components are modelled either as spheroids or ellipsoids. The two different shape models have negligible effects on the eccentricity and semi-major axis, but…

010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectFOS: Physical sciencesAngular velocityDegrees of freedom (mechanics)Two-body problem01 natural sciencesTotal angular momentum quantum number0103 physical sciencesTorqueEccentricity (behavior)010303 astronomy & astrophysicsMathematical Physics0105 earth and related environmental sciencesmedia_commonEarth and Planetary Astrophysics (astro-ph.EP)PhysicsVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430Applied MathematicsMathematical analysisAstronomy and AstrophysicsComputational Physics (physics.comp-ph)Potential energyEllipsoidComputational MathematicsSpace and Planetary ScienceModeling and SimulationPhysics - Computational PhysicsAstrophysics - Earth and Planetary AstrophysicsCelestial Mechanics and Dynamical Astronomy
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The Chlamydomonas genome reveals the evolution of key animal and plant functions

2007

Chlamydomonas reinhardtii is a unicellular green alga whose lineage diverged from land plants over 1 billion years ago. It is a model system for studying chloroplast-based photosynthesis, as well as the structure, assembly, and function of eukaryotic flagella (cilia), which were inherited from the common ancestor of plants and animals, but lost in land plants. We sequenced the ∼120-megabase nuclear genome of Chlamydomonas and performed comparative phylogenomic analyses, identifying genes encoding uncharacterized proteins that are likely associated with the function and biogenesis of chloroplasts or eukaryotic flagella. Analyses of the Chlamydomonas genome advance our understanding of the a…

0106 biological sciencesMESH: Sequence Analysis DNAMESH: Algal ProteinsChloroplastsProteomeMESH: PlantsChlamydomonas reinhardtii01 natural sciencesGenomeMESH: Membrane Transport ProteinsDNA AlgalMESH: DNA AlgalMESH: AnimalsGoniumPhotosynthesisMESH: PhylogenyMESH: PhotosynthesisPhylogenyGenetics0303 health sciencesGenomeMultidisciplinarybiologyMESH: Genomicsfood and beveragesGenomicsPlantsBiological EvolutionMESH: Genes[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biomolecules [q-bio.BM]MESH: ProteomeFlagellaMultigene FamilyMESH: Computational BiologyMESH: Chlamydomonas reinhardtiiNuclear geneMolecular Sequence Data[SDV.BC]Life Sciences [q-bio]/Cellular BiologyFlagellumMESH: FlagellaArticle03 medical and health sciencesIntraflagellar transportMESH: EvolutionAnimalsMESH: Genome[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Gene[SDV.BC] Life Sciences [q-bio]/Cellular Biology030304 developmental biologyMESH: Molecular Sequence DataMESH: ChloroplastsAlgal ProteinsChlamydomonasComputational BiologyMembrane Transport ProteinsSequence Analysis DNAbiology.organism_classificationGenesMESH: Multigene FamilyChlamydomonas reinhardtii010606 plant biology & botany
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Variable neighborhood descent for the incremental graph drawing

2017

Abstract Graphs are used to represent reality in several areas of knowledge. Drawings of graphs have many applications, from project scheduling to software diagrams. The main quality desired for drawings of graphs is readability, and crossing reduction is a fundamental aesthetic criterion for a good representation of a graph. In this paper we target the edge crossing reduction in the context of incremental graph drawing, in which we want to preserve the layout of a graph over successive drawings. We propose a hybrid method based on the GRASP (Greedy Randomized Adaptive Search Procedure) and VND (Variable Neighborhood Descent) methodologies and compare it with previous methods via simulation.

021103 operations researchTheoretical computer sciencebusiness.industryApplied MathematicsGRASP0211 other engineering and technologies010103 numerical & computational mathematics02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesReadabilitySoftwareGraph drawingDiscrete Mathematics and CombinatoricsArtificial intelligenceForce-directed graph drawing0101 mathematicsbusinessGraph operationsMetaheuristiccomputerGreedy randomized adaptive search procedureMathematicsofComputing_DISCRETEMATHEMATICSMathematicsElectronic Notes in Discrete Mathematics
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