Welcome to P K Kelkar Library, Online Public Access Catalogue (OPAC)

Normal view MARC view ISBD view

Nonsmooth Analysis

By: Schirotzek, Winfried [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Universitext: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XII, 378 p. 31 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540713333.Subject(s): Mathematics | Mathematical analysis | Analysis (Mathematics) | Mathematics | AnalysisDDC classification: 515 Online resources: Click here to access online
Contents:
Preliminaries -- The Conjugate of Convex Functionals -- Classical Derivatives -- The Subdifferential of Convex Functionals -- Optimality Conditions for Convex Problems -- Duality of Convex Problems -- Derivatives and Subdifferentials of Lipschitz Functionals -- Variational Principles -- Subdifferentials of Lower Semicontinuous Functionals -- Multifunctions -- Tangent and Normal Cones -- Optimality Conditions for Nonconvex Problems -- Extremal Principles and More Normals and Subdifferentials.
In: Springer eBooksSummary: The book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts (tangent and normal cones) and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for locally Lipschitz continuous functions and finally presents subdifferentials for general lower semicontinuous functions. All basic tools are presented where they are needed; this concerns separation theorems, variational and extremal principles as well as relevant parts of multifunction theory. The presentation is rigorous, with detailed proofs. Each chapter ends with bibliographic notes and exercises.
    average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBK9344
Total holds: 0

Preliminaries -- The Conjugate of Convex Functionals -- Classical Derivatives -- The Subdifferential of Convex Functionals -- Optimality Conditions for Convex Problems -- Duality of Convex Problems -- Derivatives and Subdifferentials of Lipschitz Functionals -- Variational Principles -- Subdifferentials of Lower Semicontinuous Functionals -- Multifunctions -- Tangent and Normal Cones -- Optimality Conditions for Nonconvex Problems -- Extremal Principles and More Normals and Subdifferentials.

The book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts (tangent and normal cones) and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for locally Lipschitz continuous functions and finally presents subdifferentials for general lower semicontinuous functions. All basic tools are presented where they are needed; this concerns separation theorems, variational and extremal principles as well as relevant parts of multifunction theory. The presentation is rigorous, with detailed proofs. Each chapter ends with bibliographic notes and exercises.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha