Iterative algorithm for finding approximate solutions to completely generalized strongly nonlinear quasivariational inequalities
type: Item
instance of: scholarly article
title: Iterative algorithm for finding approximate solutions to completely generalized strongly nonlinear quasivariational inequalities
zbMATH Open document ID: 0853.65073
author: Yanyan Li
published in: Journal of Mathematical Analysis and Applications
publication date: 1996-12-08T00:00:00Z
review text: The author introduces the concept of a completely generalized strongly nonlinear quasivariational inequality. He gives conditions under which solutions exist, and provides an iterative process and associated conditions, which give convergence to the solution. The author feels that these results are an improvement on those previously available for the problem. The conditions are somewhat complicated and no actual example of the application of the method is given.
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 49J40
Mathematics Subject Classification ID: 49M37
zbMATH DE Number: 908604
zbMATH Keywords: iterative algorithm
zbMATH Keywords: nonlinear quasivariational inequality
zbMATH Keywords: convergence
reviewed by: Ll. G. Chambers
MaRDI profile type: Publication
full work available at URL: jmaa.1996.0249
OpenAlex ID: W2016980115
DOI: 10.1006/JMAA.1996.0249
description: scientific article; zbMATH DE number 908604