Optimal Resource Allocation

<b>A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION</b> <p><i>Optimal Resource Allocation: With Practical Statistical Applications and Theory </i>features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems.</p> <p>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:</p> <ul> <li>An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology</li> <li>Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection</li> <li>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</li> <li>Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms</li> </ul> <p><i>Optimal Resource Allocation </i>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.</p>