We consider a class of additive Runge-Kutta methods, which include most of the classical alternating direction or fractionary step methods, for discretizing the time variable in an evolutionary problem whose coefficients depend on time. Some stability results are proven for these methods which, together with suitable consistency properties, permit us to show the convergence of these discretizations. (C) 2001 IMACS. Published by Elsevier Science B.V. All rights reserved
In time fractional models, the solution depends on all its past history; therefore such models are a...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In this paper we develop a set of time integrators of type fractional step Runge-Kutta methods which...
summary:The aim of this work is to give an introductory survey on time discretizations for liner par...
summary:The aim of this work is to give an introductory survey on time discretizations for liner par...
summary:The aim of this work is to give an introductory survey on time discretizations for liner par...
The effective numerical integration of evolutionary problems arising from real-life applications req...
The effective numerical integration of evolutionary problems arising from real-life applications req...
The effective numerical integration of evolutionary problems arising from real-life applications req...
The effective numerical integration of evolutionary problems arising from real-life applications req...
We study the consistency for general additive Runge-Kutta methods in the integration of linear nonho...
AbstractIn this paper we develop a set of time integrators of type fractional step Runge–Kutta metho...
AbstractWe study the consistency for general additive Runge–Kutta methods in the integration of line...
2017-2018 > Academic research: refereed > Publication in refereed journal201802 bcrcVersion of Recor...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In this paper we develop a set of time integrators of type fractional step Runge-Kutta methods which...
summary:The aim of this work is to give an introductory survey on time discretizations for liner par...
summary:The aim of this work is to give an introductory survey on time discretizations for liner par...
summary:The aim of this work is to give an introductory survey on time discretizations for liner par...
The effective numerical integration of evolutionary problems arising from real-life applications req...
The effective numerical integration of evolutionary problems arising from real-life applications req...
The effective numerical integration of evolutionary problems arising from real-life applications req...
The effective numerical integration of evolutionary problems arising from real-life applications req...
We study the consistency for general additive Runge-Kutta methods in the integration of linear nonho...
AbstractIn this paper we develop a set of time integrators of type fractional step Runge–Kutta metho...
AbstractWe study the consistency for general additive Runge–Kutta methods in the integration of line...
2017-2018 > Academic research: refereed > Publication in refereed journal201802 bcrcVersion of Recor...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In time fractional models, the solution depends on all its past history; therefore such models are a...
In time fractional models, the solution depends on all its past history; therefore such models are a...