Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tim Keil"'
Publikováno v:
ESAIM: Mathematical Modelling and Numerical Analysis. 55:1239-1269
In this contribution we propose and rigorously analyze new variants of adaptive Trust-Region methods for parameter optimization with PDE constraints and bilateral parameter constraints. The approach employs successively enriched Reduced Basis surroga
Publikováno v:
SIAM Journal on Scientific Computing. 42:A2014-A2036
In this paper we study elliptic partial differential equations with rapidly varying diffusion coefficient that can be represented as a perturbation of a reference coefficient. We develop a numerical method for efficiently solving multiple perturbed p
Publikováno v:
Advances in Computational Mathematics
In this contribution, we develop an efficient surrogate modeling framework for simulation-based optimization of enhanced oil recovery, where we particularly focus on polymer flooding. The computational approach is based on an adaptive training proced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1dcabf6e19c6bc4a03b79686124802
https://hdl.handle.net/11250/3062948
https://hdl.handle.net/11250/3062948
Autor:
Tim Keil, Mario Ohlberger
Publikováno v:
Large-Scale Scientific Computing ISBN: 9783030975487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b169edf87e5671d53b4d2c057ae2ebbc
https://doi.org/10.1007/978-3-030-97549-4_2
https://doi.org/10.1007/978-3-030-97549-4_2