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Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
Audience
This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2006
- ISBN 10 0387300635
- ISBN 13 9780387300634
- BindingHardcover
- LanguageEnglish
- Number of pages308
- EditorPillo Gianni, Roma Massimo
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Large-Scale Nonlinear Optimization
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Springer-Verlag New York Inc., 2006
ISBN 10: 0387300635
ISBN 13: 9780387300634
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Gebunden. Condition: New. Discusses the most recent advances in the development of methods and algorithms for large-scale nonlinear optimization and its applicationsThis book reviews and discusses recent advances in the development of methods and algorithms for nonline. Seller Inventory # 5909837
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