Abstract. Partitioned systems of ordinary differential equations are in qualitative terms characterized as monotonically max-norm stable if each sub-system is stable and if the couplings from one sub-system to the others are weak. Each sub-system of the partitioned system may be discretized independently by the backward Euler formula using solution values from the other sub-systems corresponding to the previous time step. The monotone max-norm stability guarantees this discretization to be stable. This so-called decoupled implicit Euler method is ideally suited for parallel computers. With one or several sub-systems allocated to each processor, information only has to be exchanged after completion of a step but not during the solution of th...
AbstractThe numerical treatment of stiff ODE systems is carried out by using implicit methods. A lon...
Developing explicit, high-order accurate, and stable algorithms for nonlinear differential equations...
This paper presents an approximate discretization method, named Mixed Euler-ZOH (mE-ZOH), which can...
Dynamical systems can often be decomposed into loosely coupled subsystems. The system of ordinary di...
AbstractIt is shown that Euler's rule, applied on an automatically (and adaptively) determined seque...
A number of important applied problems of chemical kinetics, biophysics, theory of electrical circui...
AbstractSystems of s linear ordinary differential equations (ODEs) are considered. A system of ODEs ...
Componentwise Block Partitioning is a new strategy to solve stiff ODEs, based on Block Backward Diff...
A new code based on variable order and variable stepsize component wise partitioning is introduced ...
Stiff systems are characterized by the presence of multiple time scales where the fast scales are st...
Review of implicit methods of integrating system of stiff ordinary differential equations is present...
Partitioning is a strategy for solving stiff systems of ordinary differential equations (ODEs) probl...
The aim of this study will be to design Parallel solver (PS) for oscillatory stiff systems of ordina...
This work introduces a general framework for constructing high-order, linearly stable, partitioned s...
The ordinary differential equations occurring in linear boundary value problems characteristically h...
AbstractThe numerical treatment of stiff ODE systems is carried out by using implicit methods. A lon...
Developing explicit, high-order accurate, and stable algorithms for nonlinear differential equations...
This paper presents an approximate discretization method, named Mixed Euler-ZOH (mE-ZOH), which can...
Dynamical systems can often be decomposed into loosely coupled subsystems. The system of ordinary di...
AbstractIt is shown that Euler's rule, applied on an automatically (and adaptively) determined seque...
A number of important applied problems of chemical kinetics, biophysics, theory of electrical circui...
AbstractSystems of s linear ordinary differential equations (ODEs) are considered. A system of ODEs ...
Componentwise Block Partitioning is a new strategy to solve stiff ODEs, based on Block Backward Diff...
A new code based on variable order and variable stepsize component wise partitioning is introduced ...
Stiff systems are characterized by the presence of multiple time scales where the fast scales are st...
Review of implicit methods of integrating system of stiff ordinary differential equations is present...
Partitioning is a strategy for solving stiff systems of ordinary differential equations (ODEs) probl...
The aim of this study will be to design Parallel solver (PS) for oscillatory stiff systems of ordina...
This work introduces a general framework for constructing high-order, linearly stable, partitioned s...
The ordinary differential equations occurring in linear boundary value problems characteristically h...
AbstractThe numerical treatment of stiff ODE systems is carried out by using implicit methods. A lon...
Developing explicit, high-order accurate, and stable algorithms for nonlinear differential equations...
This paper presents an approximate discretization method, named Mixed Euler-ZOH (mE-ZOH), which can...