Explicit stochastic Runge–Kutta (SRK) methods are constructed for non-commutative Itô and Stratonovich stochastic differential equations. Our aim is to derive explicit SRK schemes of strong order one, which are derivative free and have large stability regions. In the present paper, this will be achieved by embedding Chebyshev methods for ordinary differential equations in SRK methods proposed by Rößler (2010). In order to check their convergence order, stability properties and computational efficiency, some numerical experiments will be performed
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
International audienceWe introduce a new family of explicit integrators for stiff Itô stochastic dif...
In Burrage and Burrage [1] it was shown that by introducing a very general formulation for stochasti...
Explicit stochastic Runge–Kutta (SRK) methods are constructed for non-commutative Itô and Stratonovi...
It is well known that the numerical solution of stiff stochastic ordinary differential equations lea...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
Our aim is to derive explicit Runge‐Kutta schemes for Stratonovich stochastic differential equations...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
It is well known that the numerical solution of stochastic ordinary differential equations leads to ...
AbstractA new explicit stochastic Runge–Kutta scheme of weak order 2 is proposed for non-commutative...
We propose new explicit exponential Runge-Kutta methods for the weak approximation of solutions of s...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
We propose stabilized explicit stochastic Runge–Kutta methods of strong order one half for Itô stoch...
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
International audienceWe introduce a new family of explicit integrators for stiff Itô stochastic dif...
In Burrage and Burrage [1] it was shown that by introducing a very general formulation for stochasti...
Explicit stochastic Runge–Kutta (SRK) methods are constructed for non-commutative Itô and Stratonovi...
It is well known that the numerical solution of stiff stochastic ordinary differential equations lea...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
Our aim is to derive explicit Runge‐Kutta schemes for Stratonovich stochastic differential equations...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
It is well known that the numerical solution of stochastic ordinary differential equations leads to ...
AbstractA new explicit stochastic Runge–Kutta scheme of weak order 2 is proposed for non-commutative...
We propose new explicit exponential Runge-Kutta methods for the weak approximation of solutions of s...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
We propose stabilized explicit stochastic Runge–Kutta methods of strong order one half for Itô stoch...
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
International audienceWe introduce a new family of explicit integrators for stiff Itô stochastic dif...
In Burrage and Burrage [1] it was shown that by introducing a very general formulation for stochasti...