Coverart for item
The Resource Advances and trends in optimization with engineering applications, Tamás Terlaky, Lehigh University, Bethlehem, Pennsylvania, Miguel F. Anjos, Polytechnique Montréal, Montréal, Quebec, Canada, Shabbir Ahmed, Georgia Institute of Technology, Atlanta, Georgia, editors

Advances and trends in optimization with engineering applications, Tamás Terlaky, Lehigh University, Bethlehem, Pennsylvania, Miguel F. Anjos, Polytechnique Montréal, Montréal, Quebec, Canada, Shabbir Ahmed, Georgia Institute of Technology, Atlanta, Georgia, editors

Label
Advances and trends in optimization with engineering applications
Title
Advances and trends in optimization with engineering applications
Statement of responsibility
Tamás Terlaky, Lehigh University, Bethlehem, Pennsylvania, Miguel F. Anjos, Polytechnique Montréal, Montréal, Quebec, Canada, Shabbir Ahmed, Georgia Institute of Technology, Atlanta, Georgia, editors
Contributor
Editor
Publisher
Subject
Language
eng
Summary
Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods
Member of
Additional physical form
Also available in print version.
Cataloging source
CaBNVSL
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
MOS-SIAM series on optimization
Target audience
adult
Advances and trends in optimization with engineering applications, Tamás Terlaky, Lehigh University, Bethlehem, Pennsylvania, Miguel F. Anjos, Polytechnique Montréal, Montréal, Quebec, Canada, Shabbir Ahmed, Georgia Institute of Technology, Atlanta, Georgia, editors
Label
Advances and trends in optimization with engineering applications, Tamás Terlaky, Lehigh University, Bethlehem, Pennsylvania, Miguel F. Anjos, Polytechnique Montréal, Montréal, Quebec, Canada, Shabbir Ahmed, Georgia Institute of Technology, Atlanta, Georgia, editors
Link
http://libproxy.rpi.edu/login?url=http://epubs.siam.org/doi/book/10.1137/1.9781611974683
Publication
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type MARC source
rdacontent
Contents
Foreword -- Preface -- I. Linear and quadratic optimization -- II. Mixed-integer linear optimization -- III. Conic linear optimization -- IV. Global optimization -- V. Nonlinear optimization -- VI. Mixed-integer nonlinear optimization -- VII. Robust optimization -- VIII. Stochastic optimization -- IX. Inventory and supply chain optimization -- X. Methodologies and applications in black-box and derivative-free optimization
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781611974683&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4298596'}
Extent
1 PDF (xxxiv, 678 pages).
File format
multiple file formats
Form of item
online
Governing access note
Restricted to subscribers or individual electronic text purchasers
Isbn
9781611974683
Lccn
2016053308
Media category
electronic
Media MARC source
isbdmedia
Publisher number
MO24
Reformatting quality
access
Specific material designation
remote
System details
  • Mode of access: World Wide Web
  • System requirements: Adobe Acrobat Reader

Library Locations

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