Add to ORKGWe introduce an overlapping time-domain decomposition for linear initial-value problems which gives rise to an efficient solution method for parallel computers without resorting to the frequency domain. This parallel method exploits the fact that homogeneous initial-value problems can be integrated much faster than inho-mogeneous problems by using an efficient Arnoldi approximation for the matrix ex-ponential function.
In this lecture, we concern the numerical solution of PDE problems and describe overlapping domain d...
The Classic Howard’s algorithm, a technique of resolution for dis-crete Hamilton-Jacobi equations, i...
Abstract. PDE-constrained optimization problems have a wide range of applications, but they lead to ...
The parallel solution of initial value problems for ordinary differential equations (ODE-IVPs) has b...
Abstract. A novel parallel algorithm for the integration of linear initial-value problems is pro-pos...
International audienceWe developed a parallel time domain decomposition method to solve systems of O...
The parallel solution of initial value problems for ordinary differential equations (ODE-IVPs) has r...
. Time dependent partial differential equations are often solved using algorithms which parallelize ...
International audienceNew parallel methods, based on the Schwarz and Schur domain decomposition tech...
International audienceOptimizing solvers for linear systems is a major challenge in scientific comp...
Abstract. With the continued evolution of computing architectures towards many-core com-puting, algo...
Abstract Time parallel time integration methods have received renewed interest over the last decade ...
In this paper we review several methods for solving large sparse linear systems arising from discret...
International audienceWe developed parallel time domain decomposition methods to solve systems of li...
AbstractTime dependent problems in Partial Differential Equations (PDEs) are often solved by the Met...
In this lecture, we concern the numerical solution of PDE problems and describe overlapping domain d...
The Classic Howard’s algorithm, a technique of resolution for dis-crete Hamilton-Jacobi equations, i...
Abstract. PDE-constrained optimization problems have a wide range of applications, but they lead to ...
The parallel solution of initial value problems for ordinary differential equations (ODE-IVPs) has b...
Abstract. A novel parallel algorithm for the integration of linear initial-value problems is pro-pos...
International audienceWe developed a parallel time domain decomposition method to solve systems of O...
The parallel solution of initial value problems for ordinary differential equations (ODE-IVPs) has r...
. Time dependent partial differential equations are often solved using algorithms which parallelize ...
International audienceNew parallel methods, based on the Schwarz and Schur domain decomposition tech...
International audienceOptimizing solvers for linear systems is a major challenge in scientific comp...
Abstract. With the continued evolution of computing architectures towards many-core com-puting, algo...
Abstract Time parallel time integration methods have received renewed interest over the last decade ...
In this paper we review several methods for solving large sparse linear systems arising from discret...
International audienceWe developed parallel time domain decomposition methods to solve systems of li...
AbstractTime dependent problems in Partial Differential Equations (PDEs) are often solved by the Met...
In this lecture, we concern the numerical solution of PDE problems and describe overlapping domain d...
The Classic Howard’s algorithm, a technique of resolution for dis-crete Hamilton-Jacobi equations, i...
Abstract. PDE-constrained optimization problems have a wide range of applications, but they lead to ...