Engineering Optimization : Theory and Practice 4th 4th Edition Solutions
Engineering Optimization: Theory and Practice is a guidebook that focuses on the most important methods of optimisation with emphasis on problem - solving and applications. This book will help readers learn the theoretical principles that are required to optimise engineering systems across a broad range of industries. Engineering Optimization: Theory and Practice covers both classical and modern methods.The author begins with the fundamentals and progressively builds up to advanced concepts and applications. The first chapter introduces optimisation and provides its historical background. This is followed by single - variable and multivariable optimisation techniques. The next two focus on linear programming. The fifth chapter of Engineering Optimization: Theory and Practice is dedicated to nonlinear programming in one - dimensional minimisation methods. The book then goes on to discuss nonlinear programming using constrained and unconstrained techniques. The eighth chapter elaborates on geometric programming and shows its applications. The chapter on dynamic programming covers multistage decision processes. Integer programming and stochastic Programming are both explained using linear and nonlinear methods. The twelfth chapter covers optimal control and optimality criteria methods. This is followed by a chapter on modern methods of optimisation. The last portion showcases the practical aspects of optimisation. Through Engineering Optimization: Theory and Practice readers will come across dozens of real - world examples across different industries. Each chapter contains review questions to help readers test their understanding.Upper - level undergraduates and graduate students of civil mechanical aerospace chemical and electrical engineering will find this book to be useful. The 4th edition of Engineering Optimization: Theory and Practice was published by John Wiley and Sons in 2009. This import edition is available in hardcover.Read more
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