<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The paper deals with homogenization of nonlinear differential operators with monotone behaviour. We consider a situation, when the coefficients of the operator are not known exactly, but in certain bounds only due to errors caused by measurements. We use the deterministic approach to the problem- -worst scenario method introduced by I. Hlaváček.</p></abstract>

The paper deals with homogenization of nonlinear differential operators with monotone behaviour. We consider a situation, when the coefficients of the operator are not known exactly, but in certain bounds only due to errors caused by measurements. We use the deterministic approach to the problem- -worst scenario method introduced by I. Hlaváček.

Homogenization of monotone type problems with uncertain data

Institute of Mathematics Faculty of Mechanical Engineering Brno University of Technology Technická 2 CZ–616-69 Brno CZECH REPUBLIC

Tatra Mountains Mathematical Publications

{"article-title":"Homogenization of monotone type problems with uncertain data"}

The paper deals with homogenization of nonlinear differential operators with monotone behaviour. We consider a situation, when the coefficients of the operator...

Homogenization of monotone type problems with uncertain data

Publié en ligne: 12 nov. 2012

Pages: 163 - 171

DOI: https://doi.org/10.2478/v10127-009-0035-4

Mots clés
homogenization, uncertain data, worst scenario

This content is open access.

Homogenization of monotone type problems with uncertain data

Publié en ligne: 12 nov. 2012

Pages: 163 - 171

DOI: https://doi.org/10.2478/v10127-009-0035-4

Mots cléshomogenization, uncertain data, worst scenario

This content is open access.

Mots clés
homogenization, uncertain data, worst scenario