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  • © 2014

Accuracy Verification Methods

Theory and Algorithms

  • Presents the authors' accumulated valuable experience in computing guaranteed error estimates in a systematic way
  • Overviews recent trends and advances in the theory of directly computable error estimates (error indicators)
  • Discusses the corresponding numerical algorithms in the context of various typical models in engineering and scientific computations
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computational Methods in Applied Sciences (COMPUTMETHODS, volume 32)

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Table of contents (6 chapters)

  1. Front Matter

    Pages I-XIII
  2. Errors Arising in Computer Simulation Methods

    • Olli Mali, Pekka Neittaanmäki, Sergey Repin
    Pages 1-5
  3. Indicators of Errors for Approximate Solutions of Differential Equations

    • Olli Mali, Pekka Neittaanmäki, Sergey Repin
    Pages 7-44
  4. Guaranteed Error Bounds I

    • Olli Mali, Pekka Neittaanmäki, Sergey Repin
    Pages 45-92
  5. Guaranteed Error Bounds II

    • Olli Mali, Pekka Neittaanmäki, Sergey Repin
    Pages 93-151
  6. Errors Generated by Uncertain Data

    • Olli Mali, Pekka Neittaanmäki, Sergey Repin
    Pages 153-204
  7. Overview of Other Results and Open Problems

    • Olli Mali, Pekka Neittaanmäki, Sergey Repin
    Pages 205-246
  8. Back Matter

    Pages 247-355

About this book

The importance of accuracy verification methods was understood at the very beginning of the development of numerical analysis. Recent decades have seen a rapid growth of results related to adaptive numerical methods and a posteriori estimates. However, in this important area there often exists a noticeable gap between mathematicians creating the theory and researchers developing applied algorithms that could be used in engineering and scientific computations for guaranteed and efficient error control.

 

The goals of the book are to (1) give a transparent explanation of the underlying mathematical theory in a style accessible not only to advanced numerical analysts but also to engineers and students; (2) present detailed step-by-step algorithms that follow from a theory; (3) discuss their advantages and drawbacks, areas of applicability, give recommendations and examples.

Reviews

From the book reviews:

“An up-to-date monograph for researchers, practitioners and advanced students in scientific computing. It tries to bridge the gap between theory and practice in error estimation spanning the whole modeling and simulation process.” (A. Bultheel, Mathematical Reviews, July, 2014)

Authors and Affiliations

  • Department of Mathematical InformationTechnology, University of Jyväskylä, Jyväskylä, Finland

    Olli Mali, Pekka Neittaanmäki

  • Steklov Institute of Mathematics, University of Jyväskylä, Jyväskylä, Finland, and Russian Academy of Sciences, St. Petersburg, Russia

    Sergey Repin

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access