Implementing Spectral Methods for Partial Differential Equations

Implementing Spectral Methods for Partial Differential Equations
Author: David A. Kopriva
Publisher: Springer Science & Business Media
Total Pages: 397
Release: 2009-05-27
Genre: Mathematics
ISBN: 9048122619

This book explains how to solve partial differential equations numerically using single and multidomain spectral methods. It shows how only a few fundamental algorithms form the building blocks of any spectral code, even for problems with complex geometries.

Spectral Methods

Spectral Methods
Author: Jie Shen
Publisher: Springer Science & Business Media
Total Pages: 481
Release: 2011-08-25
Genre: Mathematics
ISBN: 3540710418

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 to help the readers to develop their own spectral codes for their specific applications.

Spectral Methods in MATLAB

Spectral Methods in MATLAB
Author: Lloyd N. Trefethen
Publisher: SIAM
Total Pages: 179
Release: 2000-07-01
Genre: Mathematics
ISBN: 0898714656

Mathematics of Computing -- Numerical Analysis.

Spectral Methods in Fluid Dynamics

Spectral Methods in Fluid Dynamics
Author: Claudio Canuto
Publisher: Springer Science & Business Media
Total Pages: 582
Release: 2012-12-06
Genre: Science
ISBN: 3642841082

This is a book about spectral methods for partial differential equations: when to use them, how to implement them, and what can be learned from their of spectral methods has evolved rigorous theory. The computational side vigorously since the early 1970s, especially in computationally intensive of the more spectacular applications are applications in fluid dynamics. Some of the power of these discussed here, first in general terms as examples of the methods have been methods and later in great detail after the specifics covered. This book pays special attention to those algorithmic details which are essential to successful implementation of spectral methods. The focus is on algorithms for fluid dynamical problems in transition, turbulence, and aero dynamics. This book does not address specific applications in meteorology, partly because of the lack of experience of the authors in this field and partly because of the coverage provided by Haltiner and Williams (1980). The success of spectral methods in practical computations has led to an increasing interest in their theoretical aspects, especially since the mid-1970s. Although the theory does not yet cover the complete spectrum of applications, the analytical techniques which have been developed in recent years have facilitated the examination of an increasing number of problems of practical interest. In this book we present a unified theory of the mathematical analysis of spectral methods and apply it to many of the algorithms in current use.

Numerical Analysis of Spectral Methods

Numerical Analysis of Spectral Methods
Author: David Gottlieb
Publisher: SIAM
Total Pages: 167
Release: 1977-01-01
Genre: Technology & Engineering
ISBN: 0898710235

A unified discussion of the formulation and analysis of special methods of mixed initial boundary-value problems. The focus is on the development of a new mathematical theory that explains why and how well spectral methods work. Included are interesting extensions of the classical numerical analysis.

Chebyshev and Fourier Spectral Methods

Chebyshev and Fourier Spectral Methods
Author: John P. Boyd
Publisher: Courier Corporation
Total Pages: 690
Release: 2001-12-03
Genre: Mathematics
ISBN: 0486411834

Completely revised text focuses on use of spectral methods to solve boundary value, eigenvalue, and time-dependent problems, but also covers Hermite, Laguerre, rational Chebyshev, sinc, and spherical harmonic functions, as well as cardinal functions, linear eigenvalue problems, matrix-solving methods, coordinate transformations, methods for unbounded intervals, spherical and cylindrical geometry, and much more. 7 Appendices. Glossary. Bibliography. Index. Over 160 text figures.

An Introduction to Scientific Computing

An Introduction to Scientific Computing
Author: Ionut Danaila
Publisher: Springer Science & Business Media
Total Pages: 303
Release: 2007-12-03
Genre: Mathematics
ISBN: 0387491597

This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section of each project contains the solutions to proposed exercises and guides the reader in using the MATLAB scripts available online.

Spectral Methods in Surface Superconductivity

Spectral Methods in Surface Superconductivity
Author: Søren Fournais
Publisher: Springer Science & Business Media
Total Pages: 333
Release: 2010-06-15
Genre: Mathematics
ISBN: 0817647961

This book examines in detail the nonlinear Ginzburg–Landau functional, the model most commonly used in the study of superconductivity. Specifically covered are cases in the presence of a strong magnetic field and with a sufficiently large Ginzburg–Landau parameter kappa. Spectral Methods in Surface Superconductivity is intended for students and researchers with a graduate-level understanding of functional analysis, spectral theory, and the analysis of partial differential equations. The book also includes an overview of all nonstandard material as well as important semi-classical techniques in spectral theory that are involved in the nonlinear study of superconductivity.