Results 211 to 220 of about 442,060 (253)
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Idempotent filtering in spectral and spectral element methods
Journal of Computational Physics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kanevsky, Alex +2 more
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2006
Since the publication of "Spectral Methods in Fluid Dynamics" 1988, spectral methods have become firmly established as a mainstream tool for scientific and engineering computation. The authors of that book have incorporated into this new edition the many improvements in the algorithms and the theory of spectral methods that have been made since then ...
C. Canuto +3 more
+7 more sources
Since the publication of "Spectral Methods in Fluid Dynamics" 1988, spectral methods have become firmly established as a mainstream tool for scientific and engineering computation. The authors of that book have incorporated into this new edition the many improvements in the algorithms and the theory of spectral methods that have been made since then ...
C. Canuto +3 more
+7 more sources
Mathematical Programming, 2015
This paper considers the problems of maximization and minimization of the spectral radius for nonnegative matrices with independent row uncertainties. The author proves necessary theoretical results on on-row corrections of nonnegative matrices. The spectral simplex methods for maximizing and minimizing the spectral radius are proposed.
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This paper considers the problems of maximization and minimization of the spectral radius for nonnegative matrices with independent row uncertainties. The author proves necessary theoretical results on on-row corrections of nonnegative matrices. The spectral simplex methods for maximizing and minimizing the spectral radius are proposed.
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Computers & Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Preconditioned Spectral Gradient Method
Numerical Algorithms, 2002Modifications of the spectral gradient method are presented, which globalize the method and present strategies to apply preconditioning techniques. The condition of uniform positive definiteness of the preconditioning matrices is replaced with mild conditions on the search directions.
Francisco Luengo +3 more
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Abstract In this chapter we give a brief introduction to the numerical integration of nonlinear waves using spectral methods. By no means do we intend for this chapter to be comprehensive; rather, it is designed to give you a flavor of what is at the core of spectral methods.
R. Carretero-González +2 more
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R. Carretero-González +2 more
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Spectral Methods and Quadratures
Computational Mathematics and Mathematical PhysicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2018
Thenumerical solution of ordinary differential equations (ODEs)with boundary conditions is studied here. Functions are approximated by polynomials in a Chebychev basis. Sections then cover spectral discretization, sampling, interpolation, differentiation, integration, and the basic ODE.
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Thenumerical solution of ordinary differential equations (ODEs)with boundary conditions is studied here. Functions are approximated by polynomials in a Chebychev basis. Sections then cover spectral discretization, sampling, interpolation, differentiation, integration, and the basic ODE.
openaire +1 more source
, 2014