Overview
- Presents the theory and applications of scalar and asymptotic derivatives
- Systematic, clear and coherent presentation
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 13)
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Table of contents (5 chapters)
Reviews
From the reviews:
"The scalar derivative … provided this limit exists and is finite, a notion introduced and studied by the second author of this book. … Based mainly on recent results obtained by the authors, appearing for the first time in book form, this volume is a valuable contribution to the field. It can be recommended to researchers and graduate students working in nonlinear analysis, fixed point theory, optimization, Riemannian geometry, and applied mathematics." (Stefan Cobzas, Zentralblatt MATH, Vol. 1159, 2009)
“The aim of this book is to provide a systematic study of scalar and asymptotic scalar derivatives and to point out several applications of them. … The book also contains a list of approximately 190 references, an index and a preface. … the book is the first in the literature on the subject and is addressed to graduate students at an advanced level and to researchers and practitioners in the fields of nonlinear analysis, Riemannian geometry and applied mathematics.” (Constantin Zălinescu, Mathematical Reviews, Issue 2010 a)Bibliographic Information
Book Title: Scalar and Asymptotic Scalar Derivatives
Book Subtitle: Theory and Applications
Authors: Sándor Zoltán Németh, George Isac
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-73988-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-73987-8Published: 23 June 2008
Softcover ISBN: 978-1-4419-4484-9Published: 08 December 2010
eBook ISBN: 978-0-387-73988-5Published: 21 May 2008
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XIV, 245
Topics: Functional Analysis, Optimization, Differential Geometry