{"product_id":"engineering-optimization-r-russell-rhinehart-9781118936337","title":"Engineering Optimization: Applications, Methods and Analysis","description":"\u003cp\u003e\u003cb\u003eAn Application-Oriented Introduction to Essential Optimization Concepts and Best Practices\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOptimization 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. \u003ci\u003eEngineering Optimization\u003c\/i\u003e provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.\u003c\/p\u003e \u003cp\u003eAlthough 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.\u003c\/p\u003e \u003cp\u003eExamples, 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.\u003c\/p\u003e \u003cp\u003eProviding excellent reference for students or professionals, \u003ci\u003eEngineering Optimization\u003c\/i\u003e \u003c\/p\u003e \u003cul\u003e \u003cli\u003eDescribes 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\u003c\/li\u003e \u003cli\u003eProvides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values\u003c\/li\u003e \u003cli\u003eDetails current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling\u003c\/li\u003e \u003cli\u003eProvides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eClear 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e R. Russell Rhinehart\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1118936337\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781118936337\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-Asme Press Series\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/29\/2018\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 776\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 3.57lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.40h x 7.50w x 1.80d","brand":"R. Russell Rhinehart","offers":[{"title":"Hardcover","offer_id":44966262440191,"sku":"9781118936337","price":133.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_28a1ad28-8855-4a7e-92a6-eedf7334a083.jpg?v=1711159344","url":"https:\/\/www.whiterainbookhouse.com\/products\/engineering-optimization-r-russell-rhinehart-9781118936337","provider":"WR Book House","version":"1.0","type":"link"}