Advanced search
Start date
Betweenand
(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

On the Continuous-Time Complementarity Problem

Full text
Author(s):
M. R. C. DO MONTE [1] ; V. A. DE OLIVEIRA [2]
Total Authors: 2
Affiliation:
[1] Universidade Federal de Uberlândia. Instituto de Ciências Exatas e Naturais do Pontal - Brasil
[2] Universidade Estadual Paulista. Instituto de Biociências, Letras e Ciências Exatas - Brasil
Total Affiliations: 2
Document type: Journal article
Source: Trends in Computational and Applied Mathematics; v. 25, 2024-11-11.
Abstract

ABSTRACT This work deals with solving continuous-time nonlinear complementarity problems defined on two types of nonempty closed convex cones: a polyhedral cone (positive octant) and a second-order cone. Theoretical results that establish a relationship between such problems and the variational inequalities problem are presented. We show that global minimizers of an unconstrained continuous-time programming problem are solutions to the continuous-time nonlinear complementarity problem. Moreover, a relation is set up so that a stationary point of an unconstrained continuous-time programming problem, in which the objective function involves the Fischer-Burmeister function, is a solution for the continuous-time complementarity problem. To guarantee the validity of the K.K.T. conditions for some auxiliary continuous-time problems which appear during the theoretical development, we use the linear independence constraint qualification. These constraint qualification are posed in the continuous-time context and appeared in the literature recently. In order to exemplify the developed theory, some simple examples are presented throughout the text. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC