Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Books and Book parts
  4. Numerical Approximation of Partial Differential Equations
 
book/monograph

Numerical Approximation of Partial Differential Equations

Quarteroni, Alfio  
•
Valli, Alberto
1994

This book deals with the numerical approximation of partial differential equations. Its scope is to provide a thorough illustration of numerical methods, 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 one of its main features. Many kinds of problems are addressed. A comprehensive theory of Galerkin method and its variants, as well as that of collocation methods, are developed for the spatial discretization. These theories are then specified to two numerical subspace realizations of remarkable interest: the finite element method and the spectral method.

  • Details
  • Metrics
Type
book/monograph
ISBN

978-3-540-85267-4

DOI
10.1007/978-3-540-85268-1
Author(s)
Quarteroni, Alfio  
Valli, Alberto
Date Issued

1994

Publisher

Springer Berlin Heidelberg

Publisher place

Heidelberg, DE

Series title/Series vol.

Springer Series in Computational Mathematics; 23

Subjects

Algorithmen

•

Numerical Approximation

•

Numerische Approximation

•

algorithms

•

finite Elemente

•

finite elements

•

partial differential equations

•

partielle Differentialgleichungen

•

spectral methods

•

spektral Methoden

Note

Written for: Numerical analysts, applied mathematicians.

URL

URL

http://www.springer.com/math/analysis/book/978-3-540-85267-4
Written at

OTHER

EPFL units
CMCS  
Available on Infoscience
September 1, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/42344
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés