Navigation überspringen
Universitätsbibliothek Heidelberg
Standort: ---
Exemplare: ---
 Online-Ressource
Verfasst von:Rhinehart, R. [VerfasserIn]   i
Titel:Engineering Optimization
Institutionen:Safari, an O'Reilly Media Company. [MitwirkendeR]   i
Verf.angabe:Rhinehart, R..
Ausgabe:1st edition
Verlagsort:[Erscheinungsort nicht ermittelbar]
Verlag:Wiley
Jahr:2018
Umfang:1 online resource (776 pages)
Fussnoten:Online resource; Title from title page (viewed May 29, 2018)
Abstract: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.
ComputerInfo:Mode of access: World Wide Web.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781118936337/?ar
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Electronic books ; local
K10plus-PPN:1702679128
 
 
Lokale URL UB: Zum Volltext
 
 Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
 Klinikum MA Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich
Bibliothek/Idn:UW / m369134416X
Lokale URL Inst.: Zum Volltext

Permanenter Link auf diesen Titel (bookmarkfähig):  https://katalog.ub.uni-heidelberg.de/titel/68592676   QR-Code
zum Seitenanfang