Skip to main content

Design of Adaptive Finite Element Software

The Finite Element Toolbox ALBERTA

  • Book
  • © 2005

Overview

Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 42)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (4 chapters)

Keywords

About this book

During the last years, scientific computing has become an important research branch located between applied mathematics and applied sciences and engineering. Highly efficient numerical methods are based on adaptive methods, higher order discretizations, fast linear and non-linear iterative solvers, multi-level algorithms, etc. Such methods are integrated in the adaptive finite element software ALBERTA. It is a toolbox for the fast and flexible implementation of efficient software for real life applications, based on modern algorithms. ALBERTA also serves as an environment for improving existent, or developing new numerical methods in an interplay with mathematical analysis and it allows the direct integration of such new or improved methods in existing simulation software.

Reviews

From the reviews of the first edition:

"The authors developed the toolbox ALBERTA to provide routines for most of the tasks one needs to implement finite element algorithms. The modules contained in ALBERTA are documented in great detail in this monograph … . All routines are written in ANSI-C and well documented … . This monograph can be recommended to all scientists who are interested in applications of finite elements on computers … ." (Christian Grossmann, Zentralblatt MATH, Vol. 1068, 2005)

Authors and Affiliations

  • Zentrum für Technomathematik, Universität Bremen FB 3 Mathematik/Informatik, Bremen, Germany

    Alfred Schmidt

  • Universität Augsburg Inst. Mathematik, Augsburg, Germany

    Kunibert G. Siebert

Bibliographic Information

Publish with us