Search results for "Computational Mathematic"

showing 10 items of 987 documents

A posteriori modelling-discretization error estimate for elliptic problems with L ∞-Coefficients

2017

We consider elliptic problems with complicated, discontinuous diffusion tensor A0. One of the standard approaches to numerically treat such problems is to simplify the coefficient by some approximation, say Aϵ, and to use standard finite elements. In [19] a combined modelling-discretization strategy has been proposed which estimates the discretization and modelling errors by a posteriori estimates of functional type. This strategy allows to balance these two errors in a problem adapted way. However, the estimate of the modelling error was derived under the assumption that the difference A0 - Aϵ becomes small with respect to the L∞-norm. This implies in particular that interfaces/discontinui…

10123 Institute of Mathematics510 Mathematicselliptic regularity2604 Applied Mathematicsmodel simplification2612 Numerical Analysis2605 Computational Mathematicsa posteriori error estimation
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Modeling mass transfer in fracture flows with the time domain-random walk method

2019

The time domain-random walk method was developed further for simulating mass transfer in fracture flows together with matrix diffusion in surrounding porous media. Specifically, a time domain-random walk scheme was developed for numerically approximating solutions of the advection-diffusion equation when the diffusion coefficient exhibits significant spatial variation or even discontinuities. The proposed scheme relies on second-order accurate, central-difference approximations of the advective and diffusive fluxes. The scheme was verified by comparing simulated results against analytical solutions in flow configurations involving a rectangular channel connected on one side with a porous ma…

1171 GeosciencesvirtauslaskentaPOROUS-MEDIAadvection116 Chemical sciencesPorous media010103 numerical & computational mathematicsClassification of discontinuitiesPORE114 Physical scienceskulkeutuminen01 natural scienceshuokoisuusMatrix (mathematics)porous mediadiffuusio (fysikaaliset ilmiöt)Mass transfersimulointiPERMEABILITYTime domainBreakthrough curve0101 mathematicsComputers in Earth SciencesDiffusion (business)matrix diffusionPhysicsHETEROGENEOUS ROCK MATRIXHYDRODYNAMIC TRANSPORTPOROSITYSolute transportMechanicssimulationRandom walkDIFFUSIONComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsFlow (mathematics)solute transportSIMULATIONAdvectionMatrix diffusionbreakthrough curvePorous mediumComputational Geosciences
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Varieties of algebras with pseudoinvolution and polynomial growth

2017

Let A be an associative algebra with pseudoinvolution (Formula presented.) over an algebraically closed field of characteristic zero and let (Formula presented.) be its sequence of (Formula presented.) -codimensions. We shall prove that such a sequence is polynomially bounded if and only if the variety generated by A does not contain five explicitly described algebras with pseudoinvolution. As a consequence, we shall classify the varieties of algebras with pseudoinvolution of almost polynomial growth, i.e. varieties of exponential growth such that any proper subvariety has polynomial growth and, along the way, we shall give also the classification of their subvarieties. Finally, we shall de…

16R50; 16W50; growth; Polynomial identity; Primary: 16R10; pseudoinvolution; Secondary: 16W10Linear function (calculus)PolynomialPure mathematicspseudoinvolutionAlgebra and Number TheorySubvariety16R50growth010102 general mathematicsPolynomial identity pseudo involution codimension growthZero (complex analysis)010103 numerical & computational mathematicsPolynomial identity01 natural sciencesPrimary: 16R10Settore MAT/02 - AlgebraBounded functionAssociative algebra0101 mathematicsAlgebraically closed fieldVariety (universal algebra)16W50Secondary: 16W10MathematicsLinear and Multilinear Algebra
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Introduction to Gestural Similarity in Music. An Application of Category Theory to the Orchestra

2019

Mathematics, and more generally computational sciences, intervene in several aspects of music. Mathematics describes the acoustics of the sounds giving formal tools to physics, and the matter of music itself in terms of compositional structures and strategies. Mathematics can also be applied to the entire making of music, from the score to the performance, connecting compositional structures to acoustical reality of sounds. Moreover, the precise concept of gesture has a decisive role in understanding musical performance. In this paper, we apply some concepts of category theory to compare gestures of orchestral musicians, and to investigate the relationship between orchestra and conductor, a…

18B05 18B10 16D90 03B52InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)History and Overview (math.HO)MathematicsofComputing_GENERALvisual artscomputer.software_genreFuzzy logic050105 experimental psychology060404 musicgesture performance orchestral conducting category theory similarity composition visual arts interdisciplinary studies fuzzy logicinterdisciplinary studiesSimilarity (psychology)FOS: Mathematics0501 psychology and cognitive sciencesCategory Theory (math.CT)Category theoryComposition (language)similaritySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryMathematics - History and OverviewApplied Mathematics05 social sciencesMathematics - Category Theory06 humanities and the artsSettore MAT/04 - Matematiche ComplementariComputational Mathematicscategory theorySettore MAT/02 - AlgebraComputer Science::SoundcompositionModeling and SimulationgestureArtificial intelligencefuzzy logicorchestral conductingbusinesscomputer0604 artsMusicNatural language processingperformanceGesturecategory theory; composition; fuzzy logic; gesture; interdisciplinary studies; orchestral conducting; performance; similarity; visual arts
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Estimates for the differences of positive linear operators and their derivatives

2019

The present paper deals with the estimate of the differences of certain positive linear operators and their derivatives. Oxur approach involves operators defined on bounded intervals, as Bernstein operators, Kantorovich operators, genuine Bernstein-Durrmeyer operators, and Durrmeyer operators with Jacobi weights. The estimates in quantitative form are given in terms of the first modulus of continuity. In order to analyze the theoretical results in the last section, we consider some numerical examples.

41A25 41A36Applied MathematicsNumerical analysisLinear operatorsNumerical Analysis (math.NA)010103 numerical & computational mathematics01 natural sciencesModulus of continuity010101 applied mathematicsSection (fiber bundle)Mathematics - Classical Analysis and ODEsBounded functionTheory of computationClassical Analysis and ODEs (math.CA)FOS: MathematicsOrder (group theory)Applied mathematicsMathematics - Numerical Analysis0101 mathematicsAlgebra over a fieldMathematics
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Frames and weak frames for unbounded operators

2020

In 2012 G\u{a}vru\c{t}a introduced the notions of $K$-frame and of atomic system for a linear bounded operator $K$ in a Hilbert space $\mathcal{H}$, in order to decompose its range $\mathcal{R}(K)$ with a frame-like expansion. In this article we revisit these concepts for an unbounded and densely defined operator $A:\mathcal{D}(A)\to\mathcal{H}$ in two different ways. In one case we consider a non-Bessel sequence where the coefficient sequence depends continuously on $f\in\mathcal{D}(A)$ with respect to the norm of $\mathcal{H}$. In the other case we consider a Bessel sequence and the coefficient sequence depends continuously on $f\in\mathcal{D}(A)$ with respect to the graph norm of $A$.

42C15 47A05 47A63 41A65Atomic systemDensely defined operatorAtomic system010103 numerical & computational mathematics01 natural sciencesBounded operatorCombinatoricssymbols.namesakeReconstruction formulaSettore MAT/05 - Analisi MatematicaFOS: MathematicsComputational Science and EngineeringUnbounded operatorA-frame0101 mathematicsMathematicsApplied MathematicsHilbert spaceGraphFunctional Analysis (math.FA)Mathematics - Functional Analysis010101 applied mathematicsComputational MathematicssymbolsWeak A-framesBessel functionAdvances in Computational Mathematics
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Formulations and exact algorithms for the distance-constrained generalized directed rural postman problem

2017

[EN] The generalized directed rural postman problem is an arc routing problem with many interesting real-life applications, such as routing for meter reading. In this application, a vehicle with a receiver travels through a series of neighborhoods. If the vehicle gets closer than a certain distance to a meter, the receiver is able to record the gas, water, or electricity consumption. Therefore, the vehicle does not need to traverse every street, but only a few, to get close enough to each meter. We study an extension of this problem in which a fleet of vehicles is available. Given the characteristics of the mentioned application, the vehicles have no capacities but there is a maximum distan…

90C27Mathematical optimizationControl and OptimizationTraverseManagement Science and Operations ResearchMathematicsT57-57.97Applied mathematics. Quantitative methodsSeries (mathematics)Extension (predicate logic)90C1090B99QA75.5-76.9590C57Constraint (information theory)Computational MathematicsClose-enough arc routing problemBranch-and-cutModeling and SimulationElectronic computers. Computer scienceRouting (electronic design automation)Distance constrainedMATEMATICA APLICADABranch and cutArc routingAlgorithmAutomatic meter readingMultivehicleGeneralized directed rural postman problem
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A low complexity distributed cluster based algorithm for spatial prediction

2017

Los mapas del entorno radioeléctrico (REM) pueden ser una herramienta esencial para numerosas aplicaciones en las futuras redes inalámbricas 5G. En este trabajo, empleamos un popular método geoestadístico llamado kriging ordinario para estimar el REM de un área cubierta por un eNodeB equipado con múltiples antenas. Los sensores inalámbricos se distribuyen por el área de interés y se organizan clústeres adaptativos de sensores para mejorar la calidad de la estimación del canal. En este trabajo, modificamos el algoritmo de clustering distribuido propuesto en un trabajo anterior para reducir la complejidad de la predicción de kriging. Se realizan simulaciones para detallar la técnica de formac…

:CIENCIAS TECNOLÓGICAS [UNESCO]Theoretical computer scienceWireless networkbusiness.industryComputer science020206 networking & telecommunications010103 numerical & computational mathematics02 engineering and technologyUNESCO::CIENCIAS TECNOLÓGICASradio environment maps01 natural sciencesdistributed channel predictionKey distribution in wireless sensor networksKrigingComputer engineeringKriging0202 electrical engineering electronic engineering information engineeringWireless0101 mathematicsCluster analysisbusinesswireless sensor networksWireless sensor networkInterpolation
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A tribute to Massimo Lanza de Cristoforis

2020

It is with great pleasure that we dedicate the special issue Functional Analytic Methods in Partial Differential Equations of Complex Variables and Elliptic Equations to the 60th birthday of Massim...

A tribute to Lanza de CristoforisNumerical AnalysisPartial differential equationApplied Mathematicsmedia_common.quotation_subject010102 general mathematicsSettore MAT/04 - Matematiche Complementari01 natural sciencesPhysics::History of PhysicsPleasure010101 applied mathematicsAlgebraComputational MathematicsH. BegehrSettore MAT/05 - Analisi MatematicaComplex variables0101 mathematicsAnalysisMathematicsmedia_common
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Indefinite integrals involving the incomplete elliptic integrals of the first and second kinds

2016

ABSTRACTA substantial number of indefinite integrals are presented for the incomplete elliptic integrals of the first and second kinds. The number of new results presented is about three times the total number to be found in the current literature. These integrals were obtained with a Lagrangian method based on the differential equations which these functions obey. All results have been checked numerically with Mathematica. Similar results for the incomplete elliptic integral of the third kind will be presented separately.

Abelian integralCarlson symmetric formQuarter periodApplied Mathematics010102 general mathematicsMathematical analysisTrigonometric integral010103 numerical & computational mathematics01 natural sciencesJacobi elliptic functionsLegendre formSlater integralsElliptic integral0101 mathematicsAnalysisMathematicsIntegral Transforms and Special Functions
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