Search results for "Numerical Analysis"

showing 10 items of 883 documents

The Vector QD Algorithm for Smooth Functions (f, f′)

1996

AbstractWe deal with the functionz↦(f(z), f′(z)) wheref(z)=∑i⩾0aizi, (ai∈C) with limi→∞ai+1×ai−1/(ai)2=q. We investigate the convergence of the vector QD algorithm. We give the asymptotic behaviour of the generalized Hankel determinants. A convergence result on the vector orthogonal polynomials is proved.

Mathematics(all)Numerical AnalysisGeneral MathematicsApplied Mathematics010102 general mathematics010103 numerical & computational mathematics01 natural sciencesConvergence (routing)Orthogonal polynomials0101 mathematicsAlgorithmComputingMilieux_MISCELLANEOUS[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]AnalysisMathematicsJournal of Approximation Theory
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Superlinear (p(z), q(z))-equations

2017

AbstractWe consider Dirichlet boundary value problems for equations involving the (p(z), q(z))-Laplacian operator in the principal part and prove the existence of one and three nontrivial weak solutions, respectively. Here, the nonlinearity in the reaction term is allowed to depend on the solution, but does not satisfy the Ambrosetti–Rabinowitz condition. The hypotheses on the reaction term ensure that the Euler–Lagrange functional, associated to the problem, satisfies both the -condition and a mountain pass geometry.

Mathematics::Analysis of PDEs01 natural sciencesDirichlet distributionsymbols.namesakeSettore MAT/05 - Analisi MatematicaBoundary value problemMountain pass0101 mathematicsMathematicsNumerical Analysisgeographygeography.geographical_feature_category (p(z)q(z))-Laplacian operatorApplied MathematicsWeak solutionOperator (physics)010102 general mathematicsMathematical analysisweak solutionTerm (time)010101 applied mathematicsComputational MathematicsNonlinear system(Cc)-condition(p(z)critical groupsymbolsnonlinear regularityPrincipal partAnalysisComplex Variables and Elliptic Equations
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Numerical study of the transverse stability of the Peregrine solution

2020

We generalise a previously published approach based on a multi-domain spectral method on the whole real line in two ways: firstly, a fully explicit 4th order method for the time integration, based on a splitting scheme and an implicit Runge--Kutta method for the linear part, is presented. Secondly, the 1D code is combined with a Fourier spectral method in the transverse variable both for elliptic and hyperbolic NLS equations. As an example we study the transverse stability of the Peregrine solution, an exact solution to the one dimensional nonlinear Schr\"odinger (NLS) equation and thus a $y$-independent solution to the 2D NLS. It is shown that the Peregrine solution is unstable against all…

Mathematics::Analysis of PDEsFOS: Physical sciences010103 numerical & computational mathematics01 natural sciencesStability (probability)spectral approachdispersive blow-upperfectly matched layersymbols.namesakeMathematics - Analysis of PDEsnonlinear Schrodinger equations0103 physical sciencesFOS: MathematicsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]010306 general physicsNonlinear Sciences::Pattern Formation and SolitonsReal lineVariable (mathematics)Physicsschrodinger-equationsNonlinear Sciences - Exactly Solvable and Integrable SystemsApplied MathematicsMathematical analysisNumerical Analysis (math.NA)Nonlinear systemTransverse planeExact solutions in general relativityFourier transformPeregrine solutionsymbolsExactly Solvable and Integrable Systems (nlin.SI)Spectral methodAnalysis of PDEs (math.AP)
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Numerical study of shock formation in the dispersionless Kadomtsev-Petviashvili equation and dispersive regularizations

2013

The formation of singularities in solutions to the dispersionless Kadomtsev-Petviashvili (dKP) equation is studied numerically for different classes of initial data. The asymptotic behavior of the Fourier coefficients is used to quantitatively identify the critical time and location and the type of the singularity. The approach is first tested in detail in 1+1 dimensions for the known case of the Hopf equation, where it is shown that the break-up of the solution can be identified with prescribed accuracy. For dissipative regularizations of this shock formation as the Burgers' equation and for dispersive regularizations as the Korteweg-de Vries equation, the Fourier coefficients indicate as …

Mathematics::Analysis of PDEsFOS: Physical sciencesKadomtsev–Petviashvili equation01 natural sciences010305 fluids & plasmasDispersionless equationMathematics - Analysis of PDEsSingularity0103 physical sciencesFOS: MathematicsMathematics - Numerical Analysis0101 mathematicsKorteweg–de Vries equationFourier seriesMathematicsMathematical physicsNonlinear Sciences - Exactly Solvable and Integrable Systems010102 general mathematicsMathematical analysisStatistical and Nonlinear PhysicsNumerical Analysis (math.NA)Condensed Matter PhysicsBurgers' equationNonlinear Sciences::Exactly Solvable and Integrable SystemsDissipative systemGravitational singularityExactly Solvable and Integrable Systems (nlin.SI)Analysis of PDEs (math.AP)Physica D
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Hidden attractor and homoclinic orbit in Lorenz-like system describing convective fluid motion in rotating cavity

2015

Abstract In this paper a Lorenz-like system, describing convective fluid motion in rotating cavity, is considered. It is shown numerically that this system, like the classical Lorenz system, possesses a homoclinic trajectory and a chaotic self-excited attractor. However, for the considered system, unlike the classical Lorenz system, along with self-excited attractor a hidden attractor can be localized. Analytical-numerical localization of hidden attractor is demonstrated.

Mathematics::Dynamical SystemsChaoticLyapunov exponentsymbols.namesakeAttractorSelf-excited attractorHidden attractorHomoclinic orbitCoexistence of attractorsMultistabilityMathematicsHomoclinic orbitRössler attractorNumerical AnalysisApplied Mathematicsta111Mathematical analysisLorenz-like systemMultistabilityLorenz systemNonlinear Sciences::Chaotic DynamicsClassical mechanicsModeling and SimulationLyapunov dimensionsymbolsLyapunov exponentCrisisCommunications in Nonlinear Science and Numerical Simulation
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Qualification conditions for multivalued functions in Banach spaces with applications to nonsmooth vector optimization problems

1994

In this paper we introduce qualification conditions for multivalued functions in Banach spaces involving the A-approximate subdifferential, and we show that these conditions guarantee metric regularity of multivalued functions. The results are then applied for deriving Lagrange multipliers of Fritz—John type and Kuhn—Tucker type for infinite non-smooth vector optimization problems.

Mathematics::Functional AnalysisMathematical optimizationMultivalued functionGeneral MathematicsNumerical analysisMathematics::Optimization and ControlBanach spaceSubderivativeType (model theory)Physics::History of Physicssymbols.namesakeVector optimizationLagrange multiplierMetric (mathematics)symbolsApplied mathematicsSoftwareMathematicsMathematical Programming
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On the size of the set of unbounded multilinear operators between Banach spaces

2020

Among other results we investigate $\left( \alpha,\beta\right) $-lineability of the set of non-continuous $m$-linear operators defined between normed spaces as a subset of the space of all $m$-linear operators. We also give a partial answer to an open problem on the lineability of the set of non absolutely summing operators.

Mathematics::Functional AnalysisNumerical AnalysisPure mathematicsMultilinear mapAlgebra and Number TheoryOpen problem010102 general mathematicsBanach space010103 numerical & computational mathematicsSpace (mathematics)01 natural sciencesFunctional Analysis (math.FA)Mathematics - Functional AnalysisSet (abstract data type)FOS: MathematicsDiscrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsMathematicsLinear Algebra and its Applications
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A fully adaptive multiresolution scheme for image processing

2007

A nonlinear multiresolution scheme within Harten's framework [A. Harten, Discrete multiresolution analysis and generalized wavelets, J. Appl. Numer. Math. 12 (1993) 153-192; A. Harten, Multiresolution representation of data II, SIAM J. Numer. Anal. 33 (3) (1996) 1205-1256] is presented. It is based on a centered piecewise polynomial interpolation fully adapted to discontinuities. Compression properties of the multiresolution scheme are studied on various numerical experiments on images.

Mathematics::Functional AnalysisPolynomialNumerical analysisMultiresolution analysisImage processingComputer Science ApplicationsPolynomial interpolationWaveletModelling and SimulationComputer Science::Computer Vision and Pattern RecognitionModeling and SimulationCompression (functional analysis)CalculusPiecewiseAlgorithmMathematicsMathematical and Computer Modelling
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Spatial Besov regularity for stochastic partial differential equations on Lipschitz domains

2010

We use the scale of Besov spaces B^\alpha_{\tau,\tau}(O), \alpha>0, 1/\tau=\alpha/d+1/p, p fixed, to study the spatial regularity of the solutions of linear parabolic stochastic partial differential equations on bounded Lipschitz domains O\subset R^d. The Besov smoothness determines the order of convergence that can be achieved by nonlinear approximation schemes. The proofs are based on a combination of weighted Sobolev estimates and characterizations of Besov spaces by wavelet expansions.

Mathematics::Functional AnalysisSmoothness (probability theory)General MathematicsProbability (math.PR)Mathematics::Analysis of PDEsScale (descriptive set theory)Numerical Analysis (math.NA)Lipschitz continuitySobolev spaceStochastic partial differential equation60H15 Secondary: 46E35 65C30WaveletRate of convergenceBounded functionFOS: MathematicsApplied mathematicsMathematics - Numerical AnalysisMathematics - ProbabilityMathematicsStudia Mathematica
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A new incremental method of computing the limit load in deformation plasticity models

2015

The aim of this paper is to introduce a new incremental procedure that can be used for numerical evaluation of the limit load. Existing incremental type methods are based on parametrization of the energy by the loading parameter $\zeta\in[0,\zeta_{lim})$, where $\zeta_{lim}$ is generally unknown. In the new method, the incremental procedure is operated in terms of an inverse mapping and the respective parameter $\alpha$ is changing in the interval $(0,+\infty)$. Theoretically, in each step of this algorithm, we obtain a guaranteed lower bound of $\zeta_{lim}$. Reduction of the problem to a finite element subspace associated with a mesh $\mathcal T_h$ generates computable bound $\zeta_{lim,h…

Mathematics::General MathematicsMathematics::K-Theory and HomologyMathematics::Number TheoryFOS: MathematicsMathematics::General TopologyMathematics - Numerical AnalysisNumerical Analysis (math.NA)
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