Duality for Nonconvex Approximation and Optimization Duality for Nonconvex Approximation and Optimization
CMS Books in Mathematics

Duality for Nonconvex Approximation and Optimization

    • ‏129٫99 US$
    • ‏129٫99 US$

وصف الناشر

In this monograph the author presents the theory of duality for

nonconvex approximation in normed linear spaces and nonconvex global

optimization in locally convex spaces. Key topics include:

* duality for worst approximation (i.e., the maximization of the

distance of an element to a convex set)

* duality for reverse convex best approximation (i.e., the minimization of

the distance of an element to the complement of a convex set)

* duality for convex maximization (i.e., the maximization of a convex

function on a convex set)

* duality for reverse convex minimization (i.e., the minimization of a

convex function on the complement of a convex set)

* duality for d.c. optimization (i.e., optimization problems involving

differences of convex functions).

Detailed proofs of results are given, along with varied illustrations.

While many of the results have been published in mathematical journals,

this is the first time these results appear in book form. In

addition, unpublished results and new proofs are provided. This

monograph should be of great interest to experts in this and related

fields.

Ivan Singer is a Research Professor at the Simion Stoilow Institute of

Mathematics in Bucharest, and a Member of the Romanian Academy. He is

one of the pioneers of approximation theory in normed linear spaces, and

of generalizations of approximation theory to optimization theory. He

has been a Visiting Professor at several universities in the U.S.A.,

Great Britain, Germany, Holland, Italy, and other countries, and was the

principal speaker at an N. S. F. Regional Conference at Kent State

University. He is one of the editors of the journals Numerical

Functional Analysis and Optimization (since its inception in 1979),

Optimization, and Revue d'analyse num\'erique et de th\'eorie de

l'approximation. His previous books include Best Approximation in

Normed Linear Spaces by Elements of Linear Subspaces (Springer 1970),

The Theory of Best Approximation and Functional Analysis (SIAM 1974), Bases

in Banach Spaces I, II (Springer, 1970, 1981), and Abstract Convex Analysis

(Wiley-Interscience, 1997).

النوع
علم وطبيعة
تاريخ النشر
٢٠٠٧
١٢ مارس
اللغة
EN
الإنجليزية
عدد الصفحات
٣٧٦
الناشر
Springer New York
البائع
Springer Nature B.V.
الحجم
٩٫١
‫م.ب.‬
Around the Research of Vladimir Maz'ya III Around the Research of Vladimir Maz'ya III
٢٠٠٩
Variational Analysis and Generalized Differentiation in Optimization and Control Variational Analysis and Generalized Differentiation in Optimization and Control
٢٠١٠
Spectral Theory, Function Spaces and Inequalities Spectral Theory, Function Spaces and Inequalities
٢٠١١
Shape-Preserving Approximation by Real and Complex Polynomials Shape-Preserving Approximation by Real and Complex Polynomials
٢٠١٠
Partial Differential Equations and Functional Analysis Partial Differential Equations and Functional Analysis
٢٠٠٦
Selected Topics in Complex Analysis Selected Topics in Complex Analysis
٢٠٠٦
The Riemann Hypothesis The Riemann Hypothesis
٢٠٠٧
Simplicial Structures in Topology Simplicial Structures in Topology
٢٠١٠
Convex Analysis and Nonlinear Optimization Convex Analysis and Nonlinear Optimization
٢٠١٠
An Introduction to Quantum and Vassiliev Knot Invariants An Introduction to Quantum and Vassiliev Knot Invariants
٢٠١٩
The Lattice of Subquasivarieties of a Locally Finite Quasivariety The Lattice of Subquasivarieties of a Locally Finite Quasivariety
٢٠١٨
Convex Functions and Their Applications Convex Functions and Their Applications
٢٠١٨