Analysis of Stability for the Semi Implicit Scheme for SDEs with Polynomial Growth Condition
暂无分享,去创建一个
[1] Xuerong Mao,et al. Strong convergence and stability of implicit numerical methods for stochastic differential equations with non-globally Lipschitz continuous coefficients , 2012, J. Comput. Appl. Math..
[2] Xuerong Mao,et al. Stochastic differential equations and their applications , 1997 .
[3] Steven Kou,et al. A Jump Diffusion Model for Option Pricing , 2001, Manag. Sci..
[4] Yanping Chen,et al. Mean-square stability of semi-implicit Euler method for nonlinear neutral stochastic delay differential equations , 2011 .
[5] K. Sobczyk. Stochastic Differential Equations: With Applications to Physics and Engineering , 1991 .
[6] R. Situ. Theory of Stochastic Differential Equations with Jumps and Applications: Mathematical and Analytical Techniques with Applications to Engineering , 2005 .
[7] Xuerong Mao,et al. Almost sure exponential stability of numerical solutions for stochastic delay differential equations , 2010, Numerische Mathematik.
[8] Chengming Huang. Mean square stability and dissipativity of two classes of theta methods for systems of stochastic delay differential equations , 2014, J. Comput. Appl. Math..
[9] Daniel E. Geer,et al. Convergence , 2021, IEEE Secur. Priv..
[10] Aarnout Brombacher,et al. Probability... , 2009, Qual. Reliab. Eng. Int..
[11] Fuke Wu,et al. Almost sure exponential stability of the backward Euler-Maruyama scheme for stochastic delay differential equations with monotone-type condition , 2015, J. Comput. Appl. Math..
[12] L. Szpruch,et al. Convergence, Non-negativity and Stability of a New Milstein Scheme with Applications to Finance , 2012, 1204.1647.