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相关论文: On Explicit Tamed Milstein-type scheme for Stochas…

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An explicit Milstein-type scheme for stochastic differential equation with Markovian switching is derived and its strong convergence in $\mathcal{L}^2$-sense is established without using It\^o-Taylor expansion formula. Rate of strong…

概率论 · 数学 2019-09-18 Chaman Kumar , Tejinder Kumar

We develop an explicit Milstein-type scheme for McKean-Vlasov stochastic differential equations using the notion of derivative with respect to measure introduced by Lions and discussed in \cite{cardaliaguet2013}. The drift coefficient is…

概率论 · 数学 2022-02-08 Chaman Kumar , Neelima

This work presents a randomized-tamed Milstein scheme for stochastic differential equations whose drift coefficient exhibits superlinear growth in the state variable and limited temporal regularity, quantified by $\beta$-H\"older continuity…

数值分析 · 数学 2026-01-15 Sani Biswas

An explicit first-order drift-randomized Milstein scheme for a regime switching stochastic differential equation is proposed and its bi-stability and rate of strong convergence are investigated for a non-differentiable drift coefficient.…

概率论 · 数学 2025-03-11 Divyanshu Vashistha , Chaman Kumar

We propose a tamed-adaptive Milstein scheme for stochastic differential equations in which the first-order derivatives of the coefficients are locally H\"older continuous of order $\alpha$. We show that the scheme converges in the…

概率论 · 数学 2025-07-10 Thi-Huong Vu , Hoang-Long Ngo , Duc-Trong Luong , Tran Ngoc Khue

We extend the taming techniques developed in \cite{konstantinos2014,sabanis2013} to construct explicit Milstein schemes that numerically approximate L\'evy driven stochastic differential equations with super-linearly growing drift…

概率论 · 数学 2015-12-24 Chaman Kumar , Sotirios Sabanis

A new explicit stochastic scheme of order 1 is proposed for solving commutative stochastic differential equations (SDEs) with non-globally Lipschitz continuous coefficients. The proposed method is a semi-tamed version of Milstein scheme to…

数值分析 · 数学 2021-10-13 Yulong Liu , Yuanling Niu , Xiujun Cheng

For stochastic differential equations (SDEs) with a superlinearly growing and globally one-sided Lipschitz continuous drift coefficient, the classical explicit Euler scheme fails to converge strongly to the exact solution. Recently, an…

数值分析 · 数学 2014-08-26 Xiaojie Wang , Siqing Gan

Explicit discretizations of stochastic differential equations often encounter instability when the coefficients are not globally Lipschitz. The truncated schemes and tamed schemes have been proposed to handle this difficulty, but truncated…

数值分析 · 数学 2025-07-15 Zichang Ju , Lei Li , Yuliang Wang

We propose an explicit drift-randomised Milstein scheme for both McKean--Vlasov stochastic differential equations and associated high-dimensional interacting particle systems with common noise. By using a drift-randomisation step in space…

概率论 · 数学 2023-06-19 Sani Biswas , Chaman Kumar , Neelima , Gonçalo dos Reis , Christoph Reisinger

We propose a new explicit numerical scheme for stochastic differential equation with super-linearly growing drift and linearly growing diffusion coefficients which are also twice continuously differentiable. The rate of strong convergence…

概率论 · 数学 2018-06-04 Tejinder Kumar , Chaman Kumar

Inspired by the truncated Euler-Maruyama method developed in Mao (J. Comput. Appl. Math. 2015), we propose the truncated Milstein method in this paper. The strong convergence rate is proved to be close to 1 for a class of highly non-linear…

数值分析 · 数学 2017-07-07 Qian Guo , Wei Liu , Xuerong Mao , Rongxian Yue

In this paper, we first establish well-posedness of McKean-Vlasov stochastic differential equations (McKean-Vlasov SDEs) with common noise, possibly with coefficients having super-linear growth in the state variable. Second, we present…

概率论 · 数学 2020-06-02 Chaman Kumar , Neelima , Christoph Reisinger , Wolfgang Stockinger

This paper focuses on two variants of the Milstein scheme, namely the split-step backward Milstein method and a newly proposed projected Milstein scheme, applied to stochastic differential equations which satisfy a global monotonicity…

数值分析 · 数学 2017-01-16 Wolf-Jürgen Beyn , Elena Isaak , Raphael Kruse

A new class of explicit Milstein schemes, which approximate stochastic differential equations (SDEs) with superlinearly growing drift and diffusion coefficients, is proposed in this article. It is shown, under very mild conditions, that…

概率论 · 数学 2016-01-13 Chaman Kumar , Sotirios Sabanis

This paper focuses on the strong convergence of the truncated $\theta$-Milstein method for a class of nonautonomous stochastic differential delay equations whose drift and diffusion coefficients can grow polynomially. The convergence rate,…

数值分析 · 数学 2021-12-28 Shuaibin Gao , Junhao Hu , Jie He , Qian Guo

We consider a generic and explicit tamed Euler--Maruyama scheme for multidimensional time-inhomogeneous stochastic differential equations with multiplicative Brownian noise. The diffusive coefficient is uniformly elliptic, H\"older…

概率论 · 数学 2025-02-03 Khoa Lê , Chengcheng Ling

In this paper, we consider stochastic differential equations whose drift coefficient is superlinearly growing and piece-wise continuous, and whose diffusion coefficient is superlinearly growing and locally H\"older continuous. We first…

概率论 · 数学 2023-05-15 Minh-Thang Do , Hoang-Long Ngo , Nhat-An Pho

Strong convergence results on tamed Euler schemes, which approximate stochastic differential equations with superlinearly growing drift coefficients that are locally one-sided Lipschitz continuous, are presented in this article. The…

概率论 · 数学 2013-06-17 Sotirios Sabanis

In this work, we present a general Milstein-type scheme for McKean-Vlasov stochastic differential equations (SDEs) driven by Brownian motion and Poisson random measure and the associated system of interacting particles where drift,…

概率论 · 数学 2025-01-08 Sani Biswas , Chaman Kumar , Christoph Reisinger , Verena Schwarz
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