The best Approximation and Optimization in Locally Convex Spaces
Published on 1. January 1993
Book
Paperback/Softback
136 pages
978-3-631-45763-4 (ISBN)
Description
This book presents several new results on the best simultaneous approximation in locally convex spaces. The concept of nuclear cone is systematically used to establish some interesting relations with Pareto optimization and the duality for vectorial optimization programs with multifunctions.
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Persons
The Authors: George Isac is a Full Professor (PH.D.) at the Department of Mathematics, Royal Military College of St-Jean, Québec, Canada. He is an active author in: Nonlinear Analysis, Complementarity Theory, Optimization, Pareto Optimization and Ordered spaces.
Vasile Postolica has his Ph.D. in Mathematics. He is an active researcher in the Best Approximation Theory, in Pareto Optimization and spline Functions.
Vasile Postolica has his Ph.D. in Mathematics. He is an active researcher in the Best Approximation Theory, in Pareto Optimization and spline Functions.
Content
Contents: The best simultaneous approximation and the best vectorial approximation in locally convex spaces, Pareto optimization and duality for vectorial optimization with multifunctions.