Algorithms for Optimization (The MIT Press) by Kochenderfer, Wheeler New.. Popularny

Algorithms for Optimization (The MIT Press) by Kochenderfer, Wheeler New.. Popularny

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Algorithms for Optimization (The MIT Press) by Kochenderfer, Wheeler New.. Popularny

232zł Algorithms for Optimization (The MIT Press) by Kochenderfer, Wheeler New.. | Books & Magazines, Textbooks, Education & Reference, Textbooks Popularny Książki i czasopisma,Książki naukowe, fachowe i poradniki thisisprettyreal.com ridges1214-qunadx2r7

Algorithms for Optimization (The MIT Press) by Kochenderfer, Wheeler New.. Popularny

Parametry przedmiotu

Stan: Nowy: Nowa, nieczytana, nieużywana książka w idealnym stanie, wszystkie strony, bez uszkodzeń. Aby poznać ... Dowiedz się więcejo stanie przedmiotu Author: Tim A. Wheeler, Mykel J. Kochenderfer
PublishedOn: 2019-03-12 ISBN: 9780262039420
EAN: 9780262039420 Publication Year: 2019
Type: Textbook Format: Hardcover
Language: English Publication Name: Algorithms for Optimization
Item Height: 1.1in. Item Length: 9.3in.
Publisher: The MIT Press Item Width: 8.3in.
Item Weight: 46.5 Oz Number of Pages: 520 Pages

O tym produkcie

Product Information
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Product Identifiers
PublisherThe MIT Press
ISBN-100262039427
ISBN-139780262039420
eBay Product ID (ePID)4038252725
Product Key Features
AuthorTim A. Wheeler, Mykel J. Kochenderfer
Publication NameAlgorithms for Optimization
FormatHardcover
LanguageEnglish
Publication Year2019
TypeTextbook
Number of Pages520 Pages
Dimensions
Item Length9.3in.
Item Height1.1in.
Item Width8.3in.
Item Weight46.5 Oz
Additional Product Features
Lc Classification NumberQa9.58.K65425 2019
Copyright Date2019
Target AudienceTrade
TopicIntelligence (AI) & Semantics, Algebra / General
Lccn2018-023091
Dewey Decimal518/.1
Dewey Edition23
IllustratedYes
GenreComputers, Mathematics