Engineering optimization (Record no. 559228)
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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 |
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 |
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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 |