Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems
eBook - PDF

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

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eBook - PDF

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

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Table of contents
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About This Book

Uncertainty is an inseparable component of almost every measurement and occurrence when dealing with real-world problems. Finding solutions to real-life problems in an uncertain environment is a difficult and challenging task. As such, this book addresses the solution of uncertain static and dynamic problems based on affine arithmetic approaches. Affine arithmetic is one of the recent developments designed to handle such uncertainties in a different manner which may be useful for overcoming the dependency problem and may compute better enclosures of the solutions. Further, uncertain static and dynamic problems turn into interval and/or fuzzy linear/nonlinear systems of equations and eigenvalue problems, respectively. Accordingly, this book includes newly developed efficient methods to handle the said problems based on the affine and interval/fuzzy approach. Various illustrative examples concerning static and dynamic problems of structures have been investigated in order to showthe reliability and efficacy of the developed approaches.

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Yes, you can access Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems by Snehashish Chakraverty,Saudamini Rout in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2022
ISBN
9783031024245

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Contents
  5. Preface
  6. Acknowledgments
  7. Introduction
  8. Preliminaries
  9. Affine Arithmetic
  10. Fuzzy-Affine Arithmetic
  11. Uncertain Static Problems
  12. Uncertain Linear Dynamic Problems
  13. Uncertain Nonlinear Dynamic Problems
  14. Authors' Biographies