Monday, May 20
10:00 AM-12:00 PM

Recession Methods in Nonlinear Analysis and Optimization (Part I of II)

This minisymposium is aimed at bringing together experts working in different areas of nonlinear analysis and optimization who use the recession method to solve problems. In the recession method, one attempts to get some information on the solution of the problem by imposing conditions at infinity. As the speakers of this minisymposium will demonstrate, such methods have been particularly useful in the existence, error bound, and convergence analysis of solutions of optimization problems, variational inequalities, piecewise affine equations, and convex inequality systems.

Organizers: M. Seetharama Gowda, University of Maryland; and
Michel Thera, Universite de Limoges, France

Viscosity Methods in Recession Analysis
Hedy Attouch, Universite Montpellier 2, France
On Global Error Bound Properties of Convex Functions
Sien Deng, Northern Illinois University
Minimizing and Stationary Sequences of Optimization Problems
Chin-Cheng Chou, Universite de Perpignan, France; Kung-Fu Ng, Chinese University of Hong Kong,
Hong Kong; and Jong-Shi Pang, Johns Hopkins University
The Recession Function of a Piecewise Affine Function
M. Seetharama Gowda, Organizer

Registration | Hotel Information | Transportation | Speaker Index | Program Overview

LMH, 3/15/96