An Optimization Primer
Series: Springer Series in Operations Research and Financial Engineering;
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27 229 Ft (25 932 Ft + 5% VAT)
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27 229 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2021
- Publisher Springer
- Date of Publication 30 March 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783030762773
- Binding Paperback
- No. of pages676 pages
- Size 254x178 mm
- Weight 1303 g
- Language English
- Illustrations 100 Illustrations, black & white; 55 Illustrations, color 499
Categories
Short description:
Long description:
?The book is well written. The notation is concise, the terminology is consistent, and the mathematical soundness is guaranteed. ? I highly recommend this book to anyone who wants to explore what optimization has to offer ? . For academics it will be a very convenient resource to look up useful results presented in a clear and concise form ? . I enjoyed reading the book and learned a lot, and I think you will, too!? (Tim Hoheisel, SIAM Review, Vol. 66 (3), August, 2024)
?In the reviewer's opinion, this is an important book ? . a lot of applications are given, so on one hand the readers can benefit from deep insights into the mathematical background of optimization theory ? . This book, which as all books reflects the tastes of its authors, is a solid reference, not only for graduate students and postgraduate students, but also for all those researchers interested in recent developments of optimization theory and methods.? (Giorgio Giorgi, Mathematical Reviews, December, 2022)
MoreTable of Contents:
Prelude.- Convex optimization.- Optimization under uncertainty.- Minimization problems.- Perturbation and duality.- Without convexity or smoothness.- Generalized Equations.- Risk modeling and sample averages.- Games and minsup problems.- Decomposition.
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