Sciweavers

133 search results - page 5 / 27
» Solving Partial Differential Equations on a Network of Works...
Sort
View
MCS
2008
Springer
13 years 6 months ago
Dynamical low-rank approximation: applications and numerical experiments
Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Achim Nonnenmacher, Christian Lubich
VC
2008
115views more  VC 2008»
13 years 7 months ago
Lattice Boltzmann based PDE solver on the GPU
In this paper, we propose a hardware-accelerated PDE (partial differential equation) solver based on the lattice Boltzmann model (LBM). The LBM is initially designed to solve fluid...
Ye Zhao
SIAMREV
2010
140views more  SIAMREV 2010»
13 years 2 months ago
What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications
Computational Convex Analysis algorithms have been rediscovered several times in the past by researchers from different fields. To further communications between practitioners, we ...
Yves Lucet
ICTAI
2008
IEEE
14 years 1 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
EH
2002
IEEE
139views Hardware» more  EH 2002»
14 years 10 days ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee