Nonsmooth vector functions and continuous optimization - Info and Reading Options
By Vaithilingam Jeyakumar
"Nonsmooth vector functions and continuous optimization" was published by Springer in 2008 - New York, it has 269 pages and the language of the book is English.
“Nonsmooth vector functions and continuous optimization” Metadata:
- Title: ➤ Nonsmooth vector functions and continuous optimization
- Author: Vaithilingam Jeyakumar
- Language: English
- Number of Pages: 269
- Publisher: Springer
- Publish Date: 2008
- Publish Location: New York
“Nonsmooth vector functions and continuous optimization” Subjects and Themes:
- Subjects: ➤ Nonsmooth optimization - Mathematical optimization - Vektorfunktion - Vector valued functions - Nichtglatte Optimierung - Functional analysis - Mathematics - Operations research - Engineering mathematics - Calculus of Variations and Optimal Control; Optimization - Mathematical Programming Operations Research - Operations Research/Decision Theory - Appl.Mathematics/Computational Methods of Engineering - Mathematical Modeling and Industrial Mathematics - Applications of Mathematics
Edition Specifications:
- Pagination: x, 269 p. ;
Edition Identifiers:
- The Open Library ID: OL25364965M - OL16692346W
- Online Computer Library Center (OCLC) ID: 172979480
- Library of Congress Control Number (LCCN): 2007934335
- ISBN-13: 9780387737164 - 9780387737171
- ISBN-10: 0387737162 - 0387737170
- All ISBNs: 0387737162 - 0387737170 - 9780387737164 - 9780387737171
AI-generated Review of “Nonsmooth vector functions and continuous optimization”:
"Nonsmooth vector functions and continuous optimization" Table Of Contents:
- 1- Pseudo-Jacobian matrices
- 2- Calculus rules for Pseudo-Jacobians
- 3- Openness of continuous vector functions
- 4- Nonsmooth mathematical programming problems
- 5- Monotone operators and nonsmooth variational inequalities.
"Nonsmooth vector functions and continuous optimization" Description:
Open Data:
"Focusing on the study of nonsmooth vector functions, this book presents a comprehensive account of the calculus of generalized Jacobian matrices and their applications to continuous nonsmooth optimization problems and variational inequalities in finite dimensions. Illustrated by numerous examples of known generalized derivatives, the work may serve as a valuable reference for graduate students, researchers, and applied mathematicians who wish to use nonsmooth techniques and continuous optimization to model and solve problems in mathematical programming, operations research, and engineering. Readers require only a modest background in undergraduate mathematical analysis to follow the material with minimal effort."--Jacket
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