A major avenue of research in numerical analysis is creating algorithms in order to decrease the amount of computational time in numerical simulations while maintaining high accuracy. Notably when modeling PDE systems, much effort has been focused in creating methods that undergo the spatial calculations very quickly and accurately. Even with these results, simulations may still take too long, limiting the robustness of a numerical model. Hence, a new research direction is to create methods that decrease runtime by focusing on the temporal direction. The subject of this dissertation is the development of algorithms that decrease runtime by taking acount of temporal properties, and when possible coupling both temporal spatial properties, of ...
This thesis presents a parallel Space Time Discontinuous Galerkin (SDG) finite element method which ...
In this work a space-time discretization for linear hyperbolic evolution systems is introduced. A di...
Thesis (Ph.D.)--University of Washington, 2018This thesis is divided into two parts: The first intro...
A major avenue of research in numerical analysis is creating algorithms in order to decrease the amo...
This review article serves to summarize the many advances in time-parallel computations since the ex...
Abstract Time parallel time integration methods have received renewed interest over the last decade ...
Existing time-stepping methods for PDEs such as Navier-Stokes equations are not as efficient or scal...
This Bachelor End Project Thesis is about creating parallel variants of time-dependent methods. To a...
Abstract. With the continued evolution of computing architectures towards many-core com-puting, algo...
Les méthodes de décomposition de domaine en espace ont prouvé leur utilité dans le cadre des archite...
The size of the output originating from large scale, numerical simulations poses major bottlenecks i...
We consider the comparison of multigrid methods for parabolic partial differential equations that al...
We present an adaptive methodology for the solution of (linear and) non-linear time dependent proble...
The parallel full approximation scheme in space and time (PFASST) introduced by Emmett and Minion in...
Parallel-in-time (PinT) methods have become an increasingly popular tool in the numerical solution o...
This thesis presents a parallel Space Time Discontinuous Galerkin (SDG) finite element method which ...
In this work a space-time discretization for linear hyperbolic evolution systems is introduced. A di...
Thesis (Ph.D.)--University of Washington, 2018This thesis is divided into two parts: The first intro...
A major avenue of research in numerical analysis is creating algorithms in order to decrease the amo...
This review article serves to summarize the many advances in time-parallel computations since the ex...
Abstract Time parallel time integration methods have received renewed interest over the last decade ...
Existing time-stepping methods for PDEs such as Navier-Stokes equations are not as efficient or scal...
This Bachelor End Project Thesis is about creating parallel variants of time-dependent methods. To a...
Abstract. With the continued evolution of computing architectures towards many-core com-puting, algo...
Les méthodes de décomposition de domaine en espace ont prouvé leur utilité dans le cadre des archite...
The size of the output originating from large scale, numerical simulations poses major bottlenecks i...
We consider the comparison of multigrid methods for parabolic partial differential equations that al...
We present an adaptive methodology for the solution of (linear and) non-linear time dependent proble...
The parallel full approximation scheme in space and time (PFASST) introduced by Emmett and Minion in...
Parallel-in-time (PinT) methods have become an increasingly popular tool in the numerical solution o...
This thesis presents a parallel Space Time Discontinuous Galerkin (SDG) finite element method which ...
In this work a space-time discretization for linear hyperbolic evolution systems is introduced. A di...
Thesis (Ph.D.)--University of Washington, 2018This thesis is divided into two parts: The first intro...