Authors:
- Offers new approaches to optimization algorithms through Newtonian methods
- Relevant to researchers in Optimization and Variational Analysis
- Provides a unified view of classical as well as recent developments in the field of Newton-type methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Operations Research and Financial Engineering (ORFE)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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Moscow State University, Moscow, Russia
Alexey F. Izmailov
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Instituto de MatemĀ“atica Pura e Aplicada, Rio de Janeiro, Brazil
Mikhail V. Solodov
Bibliographic Information
Book Title: Newton-Type Methods for Optimization and Variational Problems
Authors: Alexey F. Izmailov, Mikhail V. Solodov
Series Title: Springer Series in Operations Research and Financial Engineering
DOI: https://doi.org/10.1007/978-3-319-04247-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04246-6Published: 25 March 2014
Softcover ISBN: 978-3-319-35384-5Published: 17 September 2016
eBook ISBN: 978-3-319-04247-3Published: 08 July 2014
Series ISSN: 1431-8598
Series E-ISSN: 2197-1773
Edition Number: 1
Number of Pages: XIX, 573
Number of Illustrations: 29 b/w illustrations, 1 illustrations in colour
Topics: Operations Research, Management Science, Continuous Optimization, Optimization