Editors:
- Discusses the most recent advances in the development of methods and algorithms for large-scale nonlinear optimization and its applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Nonconvex Optimization and Its Applications (NOIA, volume 83)
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Table of contents (16 chapters)
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Front Matter
About this book
Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.
The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.
Editors and Affiliations
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University of Rome “La Sapienza”, Italy
G. Pillo, M. Roma
Bibliographic Information
Book Title: Large-Scale Nonlinear Optimization
Editors: G. Pillo, M. Roma
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/0-387-30065-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-30063-4Published: 13 January 2006
Softcover ISBN: 978-1-4419-4014-8Published: 11 February 2011
eBook ISBN: 978-0-387-30065-8Published: 03 June 2006
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: X, 298
Number of Illustrations: 44 b/w illustrations
Topics: Optimization, Science, Humanities and Social Sciences, multidisciplinary, Operations Research, Management Science