Journal of Computational Physics
Journal of Computational Physics
Convergence Analysis of Spectral Galerkin Methods for Volterra Type Integral Equations
Journal of Scientific Computing
Spectral collocation methods for Volterra-integro differential equations with noncompact kernels
Journal of Computational and Applied Mathematics
A GPU parallelized spectral method for elliptic equations in rectangular domains
Journal of Computational Physics
A spectral method for parabolic differential equations
Numerical Algorithms
Journal of Computational and Applied Mathematics
Journal of Scientific Computing
Laguerre collocation solutions to boundary layer type problems
Numerical Algorithms
A Spectral-Element Method for Transmission Eigenvalue Problems
Journal of Scientific Computing
Jacobian-predictor-corrector approach for fractional differential equations
Advances in Computational Mathematics
Spectral Collocation Methods for Differential-Algebraic Equations with Arbitrary Index
Journal of Scientific Computing
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Along with finite differences and finite elements, spectral methods are one of the three main methodologies for solving partial differential equations on computers. This book provides a detailed presentation of basic spectral algorithms, as well as a systematical presentation of basic convergence theory and error analysis for spectral methods. Readers of this book will be exposed to a unified framework for designing and analyzing spectral algorithms for a variety of problems, including in particular high-order differential equations and problems in unbounded domains. The book contains a large number of figures which are designed to illustrate various concepts stressed in the book. A set of basic matlab codes has been made available online tohelp the readers to develop their own spectral codes for their specific applications.