Multifaceted Uncertainty Quantification
eBook - ePub

Multifaceted Uncertainty Quantification

  1. 384 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Multifaceted Uncertainty Quantification

About this book

The book exposes three alternative and competing approaches to uncertainty analysis in engineering. It is composed of some essays on various sub-topics like random vibrations, probabilistic reliability, fuzzy-sets-based analysis, unknown-but-bounded variables, stochastic linearization, possible difficulties with stochastic analysis of structures.

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Yes, you can access Multifaceted Uncertainty Quantification by Isaac Elishakoff in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. Preface
  5. About the author
  6. Chapter 1 Introduction: What this book is all about?
  7. Chapter 2 Topics in random vibration of structures
  8. Chapter 3 Essay on reliability index, probabilistic interpretation of safety factor, and worst-case design
  9. Chapter 4 Finite element method based on either stochasticity, fuzziness, or anti-optimization
  10. Chapter 5 Seven decades of progress in stochastic linearization technique
  11. Chapter 6 Essay on the role of the Monte Carlo method in stochastic mechanics
  12. Chapter 7 Fuzzy sets–based interpretation of the safety factor
  13. Chapter 8 Possible limitations of probabilistic methods in engineering
  14. Chapter 9 What may go wrong with probabilistic methods
  15. Chapter 10 From A. M. Freudenthal’s criticisms to optimization and anti-optimization or Wald’s Min-Max
  16. Chapter 11 Probability and convexity concepts are perfectly compatible
  17. Chapter 12 Conclusion: each uncertainty analysis is right
  18. Bibliography
  19. Author Index
  20. Subject Index