# Spectral Methods Using Multivariate Polynomials On The Unit Ball

Spectral Methods Using Multivariate Polynomials on the Unit Ball is a research level text on a numerical method for the solution of partial differential equations. The authors introduce, illustrate with examples, and analyze 'spectral methods' that are based on multivariate polynomial approximations. Les mer
Innbundet
Vår pris: 2363,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager

Spectral Methods Using Multivariate Polynomials on the Unit Ball is a research level text on a numerical method for the solution of partial differential equations. The authors introduce, illustrate with examples, and analyze 'spectral methods' that are based on multivariate polynomial approximations. The method presented is an alternative to finite element and difference methods for regions that are diffeomorphic to the unit disk, in two dimensions, and the unit ball, in three dimensions. The speed of convergence of spectral methods is usually much higher than that of finite element or finite difference methods.

Features

Introduces the use of multivariate polynomials for the construction and analysis of spectral methods for linear and nonlinear boundary value problems

Suitable for researchers and students in numerical analysis of PDEs, along with anyone interested in applying this method to a particular physical problem

One of the few texts to address this area using multivariate orthogonal polynomials, rather than tensor products of univariate polynomials.

Chapter 1: Introduction

Chapter 2: Multivariate Polynomials

Chapter 3: Creating Transformations of Regions

Chapter 4: Galerkin's method for the Dirichlet and Neumann Problems

Chapter 5: Eigenvalue Problems

Chapter 6: Parabolic problems

Chapter 7: Nonlinear Equations

Chapter 8: Nonlinear Neumann Boundary Value Problem

Chapter 9: The biharmonic equation

Chapter 10: Integral Equations

Kendall Atkinson is Professor Emeritus at University of Iowa as well as Fellow of the Society for Industrial & Applied Mathematics (SIAM). He received his PhD from University of Wisconsin - Madison and has had Faculty appointments at Indiana University, University of Iowa as well as Visiting appointments at Colorado State University, Australian National University, University of New South Wales, University of Queensland. His research interests include numerical analysis, integral equations, multivariate approximation, spectral methods

David Chien, PHD, is Professor in the Department of Mathematics at California State University San Marcos. He has authored journal articles in his areas of research interest, which include the numerical solution of integral equations and boundary integral equation methods.

Olaf Hansen is Professor of Mathematics, California State University San Marcos. He received his PhD from Johannes Gutenberg University, Mainz, Germany in 1994 and his research interests include Analysis and Numerical Approximation of Boundary and Initial Value Problems and Integral Equations.