Reliable Methods for Computer Simulation
eBook - ePub

Reliable Methods for Computer Simulation

Error Control and Posteriori Estimates

  1. 316 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Reliable Methods for Computer Simulation

Error Control and Posteriori Estimates

About this book

Recent decades have seen a very rapid success in developing numerical methods based on explicit control over approximation errors. It may be said that nowadays a new direction is forming in numerical analysis, the main goal of which is to develop methods ofreliable computations. In general, a reliable numerical method must solve two basic problems: (a) generate a sequence of approximations that converges to a solution and (b) verify the accuracy of these approximations. A computer code for such a method must consist of two respective blocks: solver and checker.In this book, we are chiefly concerned with the problem (b) and try to present the main approaches developed for a posteriori error estimation in various problems.The authors try to retain a rigorous mathematical style, however, proofs are constructive whenever possible and additional mathematical knowledge is presented when necessary. The book contains a number of new mathematical results and lists a posteriori error estimation methods that have been developed in the very recent time.· computable bounds of approximation errors· checking algorithms· iteration processes· finite element methods· elliptic type problems· nonlinear variational problems· variational inequalities

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Yes, you can access Reliable Methods for Computer Simulation by Pekka Neittaanmäki,Sergey R. Repin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Studies in Mathematics and its Applications
  5. Copyright page
  6. Preface
  7. Chapter 1: Introduction
  8. Chapter 2: Mathematical background
  9. Chapter 3: A posteriori estimates for iteration methods
  10. Chapter 4: A posteriori estimates for finite element approximations
  11. Chapter 5: Foundations of duality theory
  12. Chapter 6: Two-sided a posteriori estimates for linear elliptic problems
  13. Chapter 7: A posteriori estimates for nonlinear variational problems
  14. Chapter 8: A posteriori estimates for variational inequalities
  15. Bibliography
  16. Notation
  17. Index