Convex Analysis and Its Applications
Proceedings of a Conference Held at Murat-le-Quaire, March 1976
Published on 1. May 1977
Book
Paperback/Softback
219 pages
978-3-540-08149-4 (ISBN)
Description
Noyaux des sous-espaces de Banach réflexif d'un espace localement convexe.- An abstract theorem for planning procedures.- Estimation and regularity for the maximum lower solution of a unilateral problem.- Conjugacy in quasiconvex analysis.- Duality: some results in asymptotical elastoplasticity.- Sensitivity for non convex optimization problems.- A dual algorithm in quasi-convex optimization.- Etude d'une inequation quasi-variationnelle apparaissant en physique.- Vector measures with bounded variation: a topological property and some applications.- Computation of equilibrium price and quantity vectors.- Borel convex-valued multifunctions.- On the convergence of random convex sets.- An optimal design procedure for optimal control support.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1977
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
219 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
359 gr
ISBN-13
978-3-540-08149-4 (9783540081494)
DOI
10.1007/978-3-642-48298-4
Schweitzer Classification
Content
Noyaux des sous-espaces de Banach réflexif d'un espace localement convexe.- An abstract theorem for planning procedures.- Estimation and regularity for the maximum lower solution of a unilateral problem.- Conjugacy in quasiconvex analysis.- Duality: some results in asymptotical elastoplasticity.- Sensitivity for non convex optimization problems.- A dual algorithm in quasi-convex optimization.- Etude d'une inequation quasi-variationnelle apparaissant en physique.- Vector measures with bounded variation: a topological property and some applications.- Computation of equilibrium price and quantity vectors.- Borel convex-valued multifunctions.- On the convergence of random convex sets.- An optimal design procedure for optimal control support.