Optimal Resource Allocation
eBook - ePub

Optimal Resource Allocation

With Practical Statistical Applications and Theory

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

Optimal Resource Allocation

With Practical Statistical Applications and Theory

About this book

A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION

Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems.

Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features:

  • An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology
  • Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection
  • The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems
  • Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms

Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.

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Yes, you can access Optimal Resource Allocation by Igor A. Ushakov in PDF and/or ePUB format, as well as other popular books in Mathematics & Operations. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2013
Print ISBN
9781118389973
eBook ISBN
9781118400708
Edition
1
Subtopic
Operations

Table of contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Dedication
  5. Preface
  6. CHAPTER 1: Basic Mathematical Redundancy Models
  7. CHAPTER 2: Formulation of Optimal Redundancy Problems
  8. CHAPTER 3: Method of Lagrange Multipliers
  9. CHAPTER 4: Steepest Descent Method
  10. CHAPTER 5: Dynamic Programming
  11. CHAPTER 6: Universal Generating Functions
  12. CHAPTER 7: Genetic Algorithms
  13. CHAPTER 8: Monte Carlo Simulation
  14. CHAPTER 9: Comments on Calculation Methods
  15. CHAPTER 10: Optimal Redundancy with Several Limiting Factors
  16. CHAPTER 11: Optimal Redundancy in Multistate Systems
  17. CHAPTER 12: Case Studies
  18. CHAPTER 13: Counter-Terrorism: Protection Resources Allocation
  19. About the Author
  20. Index