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Engineering optimization (Record no. 559228)

000 -LEADER
fixed length control field 02847 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20180806124437.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180802b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118936337
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 620.00151
Item number R34e
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Rhinehart, R. Russell
245 ## - TITLE STATEMENT
Title Engineering optimization
Remainder of title applications, methods, and analysis
Statement of responsibility, etc R. Russell Rhinehart
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication West Sussex
Name of publisher John Wiley & Sons
Year of publication 2018
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxxvii, 731p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Wiley-ASME press series
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Engineering -- Mathematical models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical optimization
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2018-07-30 2 7150.00 620.00151 R34e A183667 8937.50 Books

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