Worst scenario method in homogenization. Linear case
Applications of Mathematics (2006)
- Volume: 51, Issue: 3, page 263-294
- ISSN: 0862-7940
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topNechvátal, Luděk. "Worst scenario method in homogenization. Linear case." Applications of Mathematics 51.3 (2006): 263-294. <http://eudml.org/doc/33254>.
@article{Nechvátal2006,
abstract = {The paper deals with homogenization of a linear elliptic boundary problem with a specific class of uncertain coefficients describing composite materials with periodic structure. Instead of stochastic approach to the problem, we use the worst scenario method due to Hlaváček (method of reliable solution). A few criterion functionals are introduced. We focus on the range of the homogenized coefficients from knowledge of the ranges of individual components in the composite, on the values of generalized gradient in the places where these components change and on the average of homogenized solution in some critical subdomain.},
author = {Nechvátal, Luděk},
journal = {Applications of Mathematics},
keywords = {homogenization; two-scale convergence; worst-scenario; reliable solution; homogenization; two-scale convergence; worst-scenario; reliable solution},
language = {eng},
number = {3},
pages = {263-294},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Worst scenario method in homogenization. Linear case},
url = {http://eudml.org/doc/33254},
volume = {51},
year = {2006},
}
TY - JOUR
AU - Nechvátal, Luděk
TI - Worst scenario method in homogenization. Linear case
JO - Applications of Mathematics
PY - 2006
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 51
IS - 3
SP - 263
EP - 294
AB - The paper deals with homogenization of a linear elliptic boundary problem with a specific class of uncertain coefficients describing composite materials with periodic structure. Instead of stochastic approach to the problem, we use the worst scenario method due to Hlaváček (method of reliable solution). A few criterion functionals are introduced. We focus on the range of the homogenized coefficients from knowledge of the ranges of individual components in the composite, on the values of generalized gradient in the places where these components change and on the average of homogenized solution in some critical subdomain.
LA - eng
KW - homogenization; two-scale convergence; worst-scenario; reliable solution; homogenization; two-scale convergence; worst-scenario; reliable solution
UR - http://eudml.org/doc/33254
ER -
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