This paper is concerned with the stability and numerical analysis of solution to highly nonlinear stochastic differential equations with jumps. By the Itô formula, stochastic inequality and semi-martingale convergence theorem, we study the asymptotic stability in the pth moment and almost sure exponential stability of solutions under the local Lipschitz condition and nonlinear growth condition. On the other hand, we also show the convergence in probability of numerical schemes under nonlinear growth condition. Finally, an example is provided to illustrate the theor
We are interested in the strong convergence and almost sure stability of Euler-Maruyama (EM) type ap...
In this note, the problem of stochastic stability for linear systems with jump parameters being semi...
AbstractWe are interested in the strong convergence and almost sure stability of Euler–Maruyama (EM)...
AbstractConvergence in law of solutions of SDE having jumps is discussed assuming suitable convergen...
We present and analyse two implicit methods for Ito stochastic differential equations (SDEs) with Po...
Tambue A, Mukam JD. Strong convergence and stability of the semi-tamed and tamed Euler schemes for s...
AbstractIn this paper, we are interested in numerical solutions of stochastic functional differentia...
In this paper, we obtain stability results for backward stochastic differential equations with jumps...
In this paper, we are interested in numerical solutions of stochastic functional differential equati...
In this paper we present a result on convergence of approximate solutions of stochastic differential...
Abstract. In this paper we present a result on convergence of approximate solutions of stochastic di...
AbstractPositive results are proved here about the ability of balanced methods to reproduce the asym...
Implicit numerical methods such as the stochastic theta-method offer a practical way to approximate ...
In this article we introduce a number of explicit schemes, which are amenable to Khasminski’s techni...
AbstractThis paper discusses the asymptotic stability and exponential stability of nonlinear stochas...
We are interested in the strong convergence and almost sure stability of Euler-Maruyama (EM) type ap...
In this note, the problem of stochastic stability for linear systems with jump parameters being semi...
AbstractWe are interested in the strong convergence and almost sure stability of Euler–Maruyama (EM)...
AbstractConvergence in law of solutions of SDE having jumps is discussed assuming suitable convergen...
We present and analyse two implicit methods for Ito stochastic differential equations (SDEs) with Po...
Tambue A, Mukam JD. Strong convergence and stability of the semi-tamed and tamed Euler schemes for s...
AbstractIn this paper, we are interested in numerical solutions of stochastic functional differentia...
In this paper, we obtain stability results for backward stochastic differential equations with jumps...
In this paper, we are interested in numerical solutions of stochastic functional differential equati...
In this paper we present a result on convergence of approximate solutions of stochastic differential...
Abstract. In this paper we present a result on convergence of approximate solutions of stochastic di...
AbstractPositive results are proved here about the ability of balanced methods to reproduce the asym...
Implicit numerical methods such as the stochastic theta-method offer a practical way to approximate ...
In this article we introduce a number of explicit schemes, which are amenable to Khasminski’s techni...
AbstractThis paper discusses the asymptotic stability and exponential stability of nonlinear stochas...
We are interested in the strong convergence and almost sure stability of Euler-Maruyama (EM) type ap...
In this note, the problem of stochastic stability for linear systems with jump parameters being semi...
AbstractWe are interested in the strong convergence and almost sure stability of Euler–Maruyama (EM)...