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检索条件"机构=Scientific Computing and Numerical Analysis"
123 条 记 录,以下是31-40 订阅
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ROBUST APPROXIMATION of GENERALIZED BIOT-BRINKMAN PROBLEMS
arXiv
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arXiv 2021年
作者: Hong, Qingguo Kraus, Johannes Kuchta, Miroslav Lymbery, Maria Mardal, Kent-André Rognes, Marie E. Department of Mathematics Pennsylvania State University United States Faculty of Mathematics University of Duisburg-Essen Germany Department of Numerical Analysis and Scientific Computing Simula Research Labaratory Faculty of Mathematics University of Duisburg-Essen Germany Department of Mathematics University of Oslo Norway Department for Numerical Analysis and Scientific Computing Simula Research Laboratory Department of Numerical Analysis and Scientific Computing Simula Research Labaratory Department of Mathematics University of Bergen Norway
The generalized Biot-Brinkman equations describe the displacement, pressures and fluxes in an elastic medium permeated by multiple viscous fluid networks and can be used to study complex poromechanical interactions in... 详细信息
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Energy stable and conservative dynamical low-rank approximation for the Su-Olson problem
arXiv
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arXiv 2023年
作者: Baumann, Lena Einkemmer, Lukas Klingenberg, Christian Kusch, Jonas University of Wuerzburg Department of Mathematics Wuerzburg Germany University of Innsbruck Numerical Analysis and Scientific Computing Innsbruck Austria Norwegian University of Life Sciences Scientific Computing Ås Norway
Computational methods for thermal radiative transfer problems exhibit high computational costs and a prohibitive memory footprint when the spatial and directional domains are finely resolved. A strategy to reduce such... 详细信息
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Matrix-free second-order methods in implicit time integration for compressible flows using automatic differentiation
Matrix-free second-order methods in implicit time integratio...
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作者: Bramkamp, Frank D. Pollul, Bernhard Rasch, Arno Schieffer, Gero Department for Computational Analysis of Technical Systems RWTH Aachen University D-52056 Aachen Germany Department for Numerical Mathematics RWTH Aachen University D-52056 Aachen Germany Institute for Scientific Computing RWTH Aachen University D-52056 Aachen Germany
In the numerical simulation of inviscid and viscous compressible fluid flow, implicit time integration schemes based on Newton-Krylov methods are frequently used. A crucial ingredient of Krylov subspace methods is the... 详细信息
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Hybrid discontinuous Galerkin methods with relaxed H(DIV)-conformity for incompressible flows. Part II
arXiv
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arXiv 2018年
作者: Lederer, Philip L. Lehrenfeld, Christoph Schöberl, Joachim Institute for Analysis and Scientific Computing TU Wien Austria Institute for Numerical and Applied Mathematics University of Göttingen Germany
The present work is the second part of a pair of papers, considering Hybrid Discontinuous Galerkin methods with relaxed H(div)-conformity. The first part mainly dealt with presenting a robust analysis with respect to ... 详细信息
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Divergence-free tangential finite element methods for incompressible flows on surfaces
arXiv
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arXiv 2019年
作者: Lederer, Philip L. Lehrenfeld, Christoph Schöberl, Joachim Institute for Analysis and Scientific Computing TU Wien Austria Institute for Numerical and Applied Mathematics University of Göttingen Germany
In this work we consider the numerical solution of incompressible flows on two-dimensional manifolds. Whereas the compatibility demands of the velocity and the pressure spaces are known from the flat case one further ... 详细信息
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Performance comparison of the CRAY X-MP/24 with SDD and the CRAY-2
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The Journal of Supercomputing 1988年 第4期1卷 409-419页
作者: Anderson, Richard E. Grimes, Roger G. Simon, Horst D. Scientific Computing and Analysis Division Boeing Computer Services M/S 7L-21 Seattle 98124 WA United States Numerical Aerodynamic Simulation (NAS) Systems Division NASA Ames Research Center Moffett Field 94035 CA Mail Stop 258-5 United States
The CRAY-2 is considered to be one of the most powerful supercomputers. Its state-of-the-art technology features a faster clock and more memory than any other supercomputer available today. In this report the single p...
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A UNIFIED FRAMEWORK FOR THE ERROR analysis OF PHYSICS-INFORMED NEURAL NETWORKS
arXiv
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arXiv 2023年
作者: Zeinhofer, Marius Masri, Rami Mardal, Kent-André Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Oslo0164 Norway Department of Mathematics University of Oslo Norway
We prove a priori and a posteriori error estimates for physics-informed neural networks (PINNs) for linear PDEs. We analyze elliptic equations in primal and mixed form, elasticity, parabolic, hyperbolic and Stokes equ... 详细信息
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Fast uncertainty quantification of tracer distribution in the brain interstitial fluid with multilevel and quasi Monte Carlo
arXiv
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arXiv 2020年
作者: Croci, Matteo Vinje, Vegard Rognes, Marie E. Mathematical Institute University of Oxford Oxford United Kingdom Department for Numerical Analysis and Scientific Computing Simula Research Laboratory Lysaker Norway
Efficient uncertainty quantification algorithms are key to understand the propagation of uncertainty - from uncertain input parameters to uncertain output quantities - in high resolution mathematical models of brain p... 详细信息
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A STUDY of multigrid smoothers used in compressible CFD based on the convection diffusion equation  7
A STUDY of multigrid smoothers used in compressible CFD base...
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7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016
作者: Birken, Philipp Bull, Jonathan Jameson, Antony Lund University Centre for the Mathematical Sciences Numerical Analysis Box 118 Lund22100 Sweden Uppsala University Division of Scientific Computing Dept. of Information Technology Box 337 Uppsala75105 Sweden Stanford University Department of Aeronautics and Astronautics StanfordCA94305 United States
We look at multigrid methods for unsteady viscous compressible flows. We specifically target smoothers that can be used in parallel and without computation of a Jacobian, which are particlarly attractive candidates in... 详细信息
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Hybrid discontinuous Galerkin methods with relaxed H(div)-conformity for incompressible flows. Part I
arXiv
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arXiv 2017年
作者: Lederer, Philip L. Lehrenfeld, Christoph Schöberl, Joachim Institute for Analysis and Scientific Computing TU Wien Wien Austria Institute for Numerical and Applied Mathematics University of Göttingen Göttingen Germany
We propose a new discretization method for the Stokes equations. The method is an improved version of the method recently presented in [C. Lehrenfeld, J. Schöberl, Comp. Meth. Appl. Mech. Eng., 361 (2016)] which ... 详细信息
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