Search results for "numerical"

showing 10 items of 2002 documents

Existence of dynamical low-rank approximations to parabolic problems

2021

The existence and uniqueness of weak solutions to dynamical low-rank evolution problems for parabolic partial differential equations in two spatial dimensions is shown, covering also non-diagonal diffusion in the elliptic part. The proof is based on a variational time-stepping scheme on the low-rank manifold. Moreover, this scheme is shown to be closely related to practical methods for computing such low-rank evolutions.

Algebra and Number TheoryPartial differential equationRank (linear algebra)Applied MathematicsNumerical Analysis (math.NA)010103 numerical & computational mathematics01 natural sciencesManifold010101 applied mathematics35K15 35R01 (Primary) 15A69 65L05 (Secondary)Computational MathematicsMathematics - Analysis of PDEsScheme (mathematics)FOS: MathematicsApplied mathematicsUniquenessMathematics - Numerical Analysisddc:5100101 mathematicsDiffusion (business)Analysis of PDEs (math.AP)Mathematics
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Fixed point theorems for fuzzy mappings and applications to ordinary fuzzy differential equations

2014

Abstract Ran and Reurings (Proc. Am. Math. Soc. 132(5):1435-1443, 2004) proved an analog of the Banach contraction principle in metric spaces endowed with a partial order and discussed some applications to matrix equations. The main novelty in the paper of Ran and Reurings involved combining the ideas in the contraction principle with those in the monotone iterative technique. Motivated by this, we present some common fixed point results for a pair of fuzzy mappings satisfying an almost generalized contractive condition in partially ordered complete metric spaces. Also we give some examples and an application to illustrate our results. MSC:46S40, 47H10, 34A70, 54E50.

Algebra and Number Theoryfuzzy mappingApplied MathematicsFixed-point theoremFuzzy logicComplete metric spaceAlgebraMetric spaceSettore MAT/05 - Analisi Matematicacomplete metric spaceordinary fuzzy differential equationaltering distance functionContraction principleC0-semigroupDifferential algebraic equationAnalysisNumerical partial differential equationsMathematicsAdvances in Difference Equations
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Absolute and monotonic norms

1961

AlgebraComputational MathematicsAbsolute (philosophy)Difference polynomialsApplied MathematicsNumerical analysisLinear algebraMonotonic functionMathematicsNumerische Mathematik
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Iterationsverfahren höherer Ordnung in Banach-Räumen

1969

The Newton process for operator equations in say a linear normed complete space converges under certain hypothesis about the Frechet-derivatives of the operator with at least the order two. There are different ways to improve this Newton process. For instance you obtain a process of order three if you add a correction element containing the second Frechet-derivative of the operator [1]. In the following note we will generalize this idea. In a recursive manner -- by adding higher derivatives -- we will construct iterative processes of any orderk (k > 1). A general theorem due toCollatz provides us error estimates for this processes. Last we will illustrate the processes by several examples.

AlgebraComputational MathematicsOperator (computer programming)General theoremApplied MathematicsNumerical analysisProcess (computing)Order (group theory)Construct (python library)Element (category theory)Complete metric spaceMathematicsNumerische Mathematik
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Indefinite integrals of special functions from integrating factors

2019

Some general integrals are presented which were obtained from two integrating factors f(x) and fˆ(x) for the first two and last two terms, respectively, of the second-order linear ordinary differen...

AlgebraDifferential equationSpecial functionsApplied Mathematics010102 general mathematicsGauss hypergeometric function010103 numerical & computational mathematics0101 mathematics01 natural sciencesAnalysisMathematicsIntegrating factorIntegral Transforms and Special Functions
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Numerical evaluation of multiple polylogarithms

2004

Multiple polylogarithms appear in analytic calculations of higher order corrections in quantum field theory. In this article we study the numerical evaluation of multiple polylogarithms. We provide algorithms, which allow the evaluation for arbitrary complex arguments and without any restriction on the weight. We have implemented these algorithms with arbitrary precision arithmetic in C++ within the GiNaC framework.

AlgebraHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Hardware and ArchitectureNumerical analysisArbitrary-precision arithmeticFOS: Physical sciencesGeneral Physics and AstronomyOrder (ring theory)Computer Science::Symbolic ComputationQuantum field theoryMathematics
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A note on multiple summing operators and applications

2018

We prove a new result on multiple summing operators and, among other results and applications, we provide a new extension of Littlewood’s 4 / 3 inequality to m-linear forms.

AlgebraMathematics - Functional AnalysisAlgebra and Number TheoryInequalitymedia_common.quotation_subjectFOS: Mathematics010103 numerical & computational mathematicsExtension (predicate logic)0101 mathematics01 natural sciencesMathematicsmedia_commonFunctional Analysis (math.FA)
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New Families of Symplectic Runge-Kutta-Nyström Integration Methods

2001

We present new 6-th and 8-th order explicit symplectic Runge-Kutta-Nystrom methods for Hamiltonian systems which are more efficient than other previously known algorithms. The methods use the processing technique and non-trivial flows associated with different elements of the Lie algebra involved in the problem. Both the processor and the kernel are compositions of explicitly computable maps.

AlgebraRunge–Kutta methodsKernel (image processing)Lie algebraOrder (group theory)Mathematics::Numerical AnalysisSymplectic geometryHamiltonian systemMathematics
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Periodic Polynomial Splines

2018

In this chapter, the spaces of periodic polynomial splines and the Spline Harmonic Analysis (SHA) in these spaces are briefly outlined. The stuff of this chapter is used for the design of periodic discrete-time splines and discrete-time-spline-based wavelets and wavelet packets. For a detailed description of the subject we refer to (Averbuch, Neittaanmaki and Zheludev, Spline and Spline Wavelet Methods with Applications to Signal and Image Processing, Springer, Berlin, 2014) [1]. Periodic polynomial splines provide an example of mixed discrete-continuous circular convolution.

AlgebraSpline (mathematics)Reciprocal polynomialComputer Science::GraphicsBox splineWaveletComputer scienceSpline waveletCircular convolutionMonic polynomialMathematics::Numerical AnalysisMatrix polynomial
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An algebraic multigrid based shifted-Laplacian preconditioner for the Helmholtz equation

2007

A preconditioner defined by an algebraic multigrid cycle for a damped Helmholtz operator is proposed for the Helmholtz equation. This approach is well suited for acoustic scattering problems in complicated computational domains and with varying material properties. The spectral properties of the preconditioned systems and the convergence of the GMRES method are studied with linear, quadratic, and cubic finite element discretizations. Numerical experiments are performed with two-dimensional problems describing acoustic scattering in a cross-section of a car cabin and in a layered medium. Asymptotically the number of iterations grows linearly with respect to the frequency while for lower freq…

Algebraic multigrid methodPhysics and Astronomy (miscellaneous)Helmholtz equationGMRESMathematics::Numerical Analysissymbols.namesakeMultigrid methodQuadratic equationHelmholtz equationäärellisten elementtien menetelmäMathematicsNumerical AnalysisPreconditionerApplied MathematicspohjustinMathematical analysisAlgebrallinen multigrid-menetelmäHelmholzin yhtälöComputer Science::Numerical AnalysisGeneralized minimal residual methodFinite element methodComputer Science ApplicationselementtimenetelmäComputational MathematicsModeling and SimulationHelmholtz free energysymbolsPreconditionerLaplace operatorJournal of Computational Physics
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