DOIAbstract
AbstractWe use maximum principles and classical estimates for the rate of convergence of orthogonal expansions to study the rate of convergence of spectral approximations to various initial-boundary value problems
AbstractWe use maximum principles and classical estimates for the rate of convergence of orthogonal expansions to study the rate of convergence of spectral approximations to various initial-boundary value problems
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
The aim of this work is to derive rate of convergence estimates for the spectral approximation of a ...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
AbstractWe use maximum principles and classical estimates for the rate of convergence of orthogonal ...
This book presents the basic methods and applications in semiclassical approximation in the light of...
Common methods for the calculation of the spectral factorization rely on an approximation of the giv...
Common methods for the calculation of the spectral factorization rely on an approximation of the giv...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
AbstractThis work deals on sufficient conditions for the spectral convergence of a sequence of linea...
Consiglio Nazionale delle Ricerche, Biblioteca Centrale, P.le Aldo Moro, 7, ROMA (Italia) / CNR - Co...
<p>Figure shows convergence rate comparation of different spectral methods for a linear BVP with Dir...
AbstractRefined error estimates are obtained for the approximation of discrete spectra of linear ope...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
The aim of this work is to derive rate of convergence estimates for the spectral approximation of a...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
The aim of this work is to derive rate of convergence estimates for the spectral approximation of a ...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
AbstractWe use maximum principles and classical estimates for the rate of convergence of orthogonal ...
This book presents the basic methods and applications in semiclassical approximation in the light of...
Common methods for the calculation of the spectral factorization rely on an approximation of the giv...
Common methods for the calculation of the spectral factorization rely on an approximation of the giv...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
AbstractThis work deals on sufficient conditions for the spectral convergence of a sequence of linea...
Consiglio Nazionale delle Ricerche, Biblioteca Centrale, P.le Aldo Moro, 7, ROMA (Italia) / CNR - Co...
<p>Figure shows convergence rate comparation of different spectral methods for a linear BVP with Dir...
AbstractRefined error estimates are obtained for the approximation of discrete spectra of linear ope...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
The aim of this work is to derive rate of convergence estimates for the spectral approximation of a...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
The aim of this work is to derive rate of convergence estimates for the spectral approximation of a ...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
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