TY - JOUR
T1 - A class of discontinuous Petrov–Galerkin methods. Part III: Adaptivity
AU - Demkowicz, Leszek
AU - Gopalakrishnan, Jay
AU - Niemi, Antti H.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Demkowicz was supported in part by the Department of Energy [National Nuclear Security Administration] under Award Number [DE-FC52-08NA28615], and by a research contract with Boeing. Gopalakrishnan was supported in part by the National Science Foundation under grant DMS-0713833. Niemi was supported in part by KAUST. We thank Bob Moser and David Young for encouragement and stimulating discussions on the project.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2012/4
Y1 - 2012/4
N2 - We continue our theoretical and numerical study on the Discontinuous Petrov-Galerkin method with optimal test functions in context of 1D and 2D convection-dominated diffusion problems and hp-adaptivity. With a proper choice of the norm for the test space, we prove robustness (uniform stability with respect to the diffusion parameter) and mesh-independence of the energy norm of the FE error for the 1D problem. With hp-adaptivity and a proper scaling of the norms for the test functions, we establish new limits for solving convection-dominated diffusion problems numerically: ε=10 -11 for 1D and ε=10 -7 for 2D problems. The adaptive process is fully automatic and starts with a mesh consisting of few elements only. © 2011 IMACS. Published by Elsevier B.V. All rights reserved.
AB - We continue our theoretical and numerical study on the Discontinuous Petrov-Galerkin method with optimal test functions in context of 1D and 2D convection-dominated diffusion problems and hp-adaptivity. With a proper choice of the norm for the test space, we prove robustness (uniform stability with respect to the diffusion parameter) and mesh-independence of the energy norm of the FE error for the 1D problem. With hp-adaptivity and a proper scaling of the norms for the test functions, we establish new limits for solving convection-dominated diffusion problems numerically: ε=10 -11 for 1D and ε=10 -7 for 2D problems. The adaptive process is fully automatic and starts with a mesh consisting of few elements only. © 2011 IMACS. Published by Elsevier B.V. All rights reserved.
UR - http://hdl.handle.net/10754/597230
UR - https://linkinghub.elsevier.com/retrieve/pii/S0168927411001656
UR - http://www.scopus.com/inward/record.url?scp=84857791151&partnerID=8YFLogxK
U2 - 10.1016/j.apnum.2011.09.002
DO - 10.1016/j.apnum.2011.09.002
M3 - Article
SN - 0168-9274
VL - 62
SP - 396
EP - 427
JO - Applied Numerical Mathematics
JF - Applied Numerical Mathematics
IS - 4
ER -