Numerical Approximation of Partial Differential Equations

Numerical Approximation of Partial Differential Equations
Author :
Publisher : Springer Science & Business Media
Total Pages : 551
Release :
ISBN-10 : 9783540852681
ISBN-13 : 3540852689
Rating : 4/5 (81 Downloads)

Book Synopsis Numerical Approximation of Partial Differential Equations by : Alfio Quarteroni

Download or read book Numerical Approximation of Partial Differential Equations written by Alfio Quarteroni and published by Springer Science & Business Media. This book was released on 2009-02-11 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything is more simple than one thinks but at the same time more complex than one can understand Johann Wolfgang von Goethe To reach the point that is unknown to you, you must take the road that is unknown to you St. John of the Cross This is a book on the numerical approximation ofpartial differential equations (PDEs). Its scope is to provide a thorough illustration of numerical methods (especially those stemming from the variational formulation of PDEs), carry out their stability and convergence analysis, derive error bounds, and discuss the algorithmic aspects relative to their implementation. A sound balancing of theoretical analysis, description of algorithms and discussion of applications is our primary concern. Many kinds of problems are addressed: linear and nonlinear, steady and time-dependent, having either smooth or non-smooth solutions. Besides model equations, we consider a number of (initial-) boundary value problems of interest in several fields of applications. Part I is devoted to the description and analysis of general numerical methods for the discretization of partial differential equations. A comprehensive theory of Galerkin methods and its variants (Petrov Galerkin and generalized Galerkin), as wellas ofcollocationmethods, is devel oped for the spatial discretization. This theory is then specified to two numer ical subspace realizations of remarkable interest: the finite element method (conforming, non-conforming, mixed, hybrid) and the spectral method (Leg endre and Chebyshev expansion).


Numerical Approximation of Partial Differential Equations Related Books

Numerical Approximation of Partial Differential Equations
Language: en
Pages: 551
Authors: Alfio Quarteroni
Categories: Mathematics
Type: BOOK - Published: 2009-02-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Everything is more simple than one thinks but at the same time more complex than one can understand Johann Wolfgang von Goethe To reach the point that is unknow
Numerical Approximation of Partial Differential Equations
Language: en
Pages: 541
Authors: Sören Bartels
Categories: Mathematics
Type: BOOK - Published: 2016-06-02 - Publisher: Springer

DOWNLOAD EBOOK

Finite element methods for approximating partial differential equations have reached a high degree of maturity, and are an indispensible tool in science and tec
Partial Differential Equations: Modeling, Analysis and Numerical Approximation
Language: en
Pages: 403
Authors: Hervé Le Dret
Categories: Mathematics
Type: BOOK - Published: 2016-02-11 - Publisher: Birkhäuser

DOWNLOAD EBOOK

This book is devoted to the study of partial differential equation problems both from the theoretical and numerical points of view. After presenting modeling as
Numerical Methods for Nonlinear Partial Differential Equations
Language: en
Pages: 394
Authors: Sören Bartels
Categories: Mathematics
Type: BOOK - Published: 2015-01-19 - Publisher: Springer

DOWNLOAD EBOOK

The description of many interesting phenomena in science and engineering leads to infinite-dimensional minimization or evolution problems that define nonlinear
Numerical Approximation Methods
Language: en
Pages: 493
Authors: Harold Cohen
Categories: Mathematics
Type: BOOK - Published: 2011-09-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book presents numerical and other approximation techniques for solving various types of mathematical problems that cannot be solved analytically. In additi