Results 211 to 220 of about 422,890 (255)
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Scaling on the Spectral Gradient Method
Journal of Optimization Theory and Applications, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fahimeh Biglari, Maghsud Solimanpur
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The Schwarz Algorithm for Spectral Methods
SIAM Journal on Numerical Analysis, 1988This paper is concerned with a domain decomposition method for the Laplace equation in a square with Dirichlet boundary conditions. The method consists in a combination of the classical Schwarz alternating method with spectral methods and more precisely a Legendre-Galerkin or collocation method. Error estimates yielding geometric convergence are proven
C. CANUTO, FUNARO, Daniele
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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
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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
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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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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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Idempotent filtering in spectral and spectral element methods
Journal of Computational Physics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alex Kanevsky +2 more
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Computers & Operations Research, 2008
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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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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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