Risk and Uncertainty Reduction by Using Algebraic Inequalities
eBook - ePub

Risk and Uncertainty Reduction by Using Algebraic Inequalities

  1. 190 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Risk and Uncertainty Reduction by Using Algebraic Inequalities

About this book

This book covers the application of algebraic inequalities for reliability improvement and for uncertainty and risk reduction. It equips readers with powerful domain-independent methods for reducing risk based on algebraic inequalities and demonstrates the significant benefits derived from the application for risk and uncertainty reduction.

Algebraic inequalities:

• Provide a powerful reliability improvement, risk and uncertainty reduction method that transcends engineering and can be applied in various domains of human activity

• Present an effective tool for dealing with deep uncertainty related to key reliability-critical parameters of systems and processes

• Permit meaningful interpretations which link abstract inequalities with the real world

• Offer a tool for determining tight bounds for the variation of risk-critical parameters and complying the design with these bounds to avoid failure

• Allow optimising designs and processes by minimising the deviation of critical output parameters from their specified values and maximising their performance

This book is primarily for engineering professionals and academic researchers in virtually all existing engineering disciplines.

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Yes, you can access Risk and Uncertainty Reduction by Using Algebraic Inequalities by Michael T. Todinov in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2020
Print ISBN
9780367898007
eBook ISBN
9781000076448

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Author
  9. Chapter 1 Fundamental Concepts Related to Risk and Uncertainty Reduction by Using Algebraic Inequalities
  10. Chapter 2 Properties of Algebraic Inequalities: Standard Algebraic Inequalities
  11. Chapter 3 Basic Techniques for Proving Algebraic Inequalities
  12. Chapter 4 Using Optimisation Methods for Determining Tight Upper and Lower Bounds: Testing a Conjectured Inequality by a Simulation – Exercises
  13. Chapter 5 Ranking the Reliabilities of Systems and Processes by Using Inequalities
  14. Chapter 6 Using Inequalities for Reducing Epistemic Uncertainty and Ranking Decision Alternatives
  15. Chapter 7 Creating a Meaningful Interpretation of Existing Abstract Inequalities and Linking It to Real Applications
  16. Chapter 8 Optimisation by Using Inequalities
  17. Chapter 9 Determining Tight Bounds for the Uncertainty in Risk-Critical Parameters and Properties by Using Inequalities
  18. Chapter 10 Using Algebraic Inequalities to Support Risk-Critical Reasoning
  19. References
  20. Index