Engineering Optimization (eBook)
776 Seiten
Wiley-Asme Press Series (Verlag)
978-1-118-93631-3 (ISBN)
An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices
Optimization is an inherent human tendency that gained new life after the advent of calculus; now, as the world grows increasingly reliant on complex systems, optimization has become both more important and more challenging than ever before. Engineering Optimization provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.
Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project.
Examples, exercises, and homework throughout reinforce the author's 'do, not study' approach to learning, underscoring the application-oriented discussion that provides a deep, generic understanding of the optimization process that can be applied to any field.
Providing excellent reference for students or professionals, Engineering Optimization:
- Describes and develops a variety of algorithms, including gradient based (such as Newton's, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization
- Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values
- Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling
- Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book
Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for 'making the best choices' will find value in this introductory resource.
R. Russell Rhinehart is an Emeritus Professor and Amoco Chair in the School of Chemical Engineering at Oklahoma State University. He was named as one of InTECH's 50 Most Influential Industry Innovators in 2004, and was inducted into the Automation Hall of Fame for the Process Industries in 2005. His research focuses on process improvement through modeling, optimization and control, and product improvement through modeling and design.
R. Russell Rhinehart is an Emeritus Professor and Amoco Chair in the School of Chemical Engineering at Oklahoma State University. He was named as one of InTECH's 50 Most Influential Industry Innovators in 2004, and was inducted into the Automation Hall of Fame for the Process Industries in 2005. His research focuses on process improvement through modeling, optimization and control, and product improvement through modeling and design.
| Erscheint lt. Verlag | 14.3.2018 |
|---|---|
| Reihe/Serie | Wiley-ASME Press Series |
| Wiley-ASME Press Series | Wiley-ASME Press Series |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Maschinenbau | |
| Schlagworte | Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • engineering methods • Engineering Reference • engineering resource • engineering text • graduate level optimization • Industrial Engineering • Industrial Engineering / Manufacturing • Industrielle Verfahrenstechnik • introductory optimization • <p>optimization • Mathematics • Mathematik • Optimierung • Optimization • optimization algorithms • Optimization Analysis • optimization best practices • optimization calculations • optimization convergence • optimization criterion • optimization design • optimization design examples • optimization essentials • optimization exercises • optimization factors • Optimization for engineering • optimization function • optimization fundamentals • optimization guide • optimization handbook • optimization how-to • optimization initialization • optimization math • Optimization Methods • optimization metrics</p> • optimization problem solving • optimization procedure • Optimization process • optimization reference • optimization resource • optimization self-study • Optimization software • Optimization solutions • optimization techniques • optimization terminology • Optimization textbook • optimization theory • optimization utility • optimization variable • Produktion i. d. Industriellen Verfahrenstechnik • specialized optimization • Systems Analysis • Systems Design • Systems Engineering & Management • systems optimization • Systemtechnik • Systemtechnik u. -management • Verfahrenstechnik • Visual Basic optimization code |
| ISBN-10 | 1-118-93631-0 / 1118936310 |
| ISBN-13 | 978-1-118-93631-3 / 9781118936313 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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