We consider one-dimensional stochastic differential equations in the particular case of diffusion coefficient functions of the form |x|α, α ∈ [1/2,1). In that case, we study the rate of convergence of a symmetrized version of the Euler scheme. This symmetrized version is easy to simulate on a computer. We prove its strong convergence and obtain the same rate of convergence as when the coefficients are Lipschitz
AbstractIn this paper, we are concerned with the numerical approximation of stochastic differential ...
We consider the approximation of one-dimensional stochastic differential equations (SDEs) with non-L...
International audienceWe consider the problem of the approximation of the solution of a one-dimensio...
Abstract. We consider one-dimensional stochastic differential equations in the particular case of di...
We consider the approximation of one-dimensional stochastic differential equations (SDEs) with non-L...
We provide a rate for the strong convergence of Euler approximations for stochastic differential equ...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Strong convergence results on tamed Euler schemes, which approximate stochastic differential equatio...
AbstractIn this paper, we are concerned with the numerical approximation of stochastic differential ...
We consider the approximation of one-dimensional stochastic differential equations (SDEs) with non-L...
International audienceWe consider the problem of the approximation of the solution of a one-dimensio...
Abstract. We consider one-dimensional stochastic differential equations in the particular case of di...
We consider the approximation of one-dimensional stochastic differential equations (SDEs) with non-L...
We provide a rate for the strong convergence of Euler approximations for stochastic differential equ...
AbstractWe provide a rate for the strong convergence of Euler approximations for stochastic differen...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Traditional finite-time convergence theory for numerical methods applied to stochastic differential ...
Strong convergence results on tamed Euler schemes, which approximate stochastic differential equatio...
AbstractIn this paper, we are concerned with the numerical approximation of stochastic differential ...
We consider the approximation of one-dimensional stochastic differential equations (SDEs) with non-L...
International audienceWe consider the problem of the approximation of the solution of a one-dimensio...