Mean square stability of semi-implicit Euler method for linear stochastic differential equations with multiple delays and Markovian switching. - Anandaraman Rathinasamy; Krishnan Balachandran (Appl. Math. Comput., 2008)

Convergence of numerical solutions for a class of stochastic age-dependent capital system with random jump magnitudes. - Qimin Zhang; Anandaraman Rathinasamy (Appl. Math. Comput., 2013)

Convergence of the split-step θ-method for stochastic age-dependent population equations with Poisson jumps. - Jianguo Tan; Anandaraman Rathinasamy; Yongzhen Pei (Appl. Math. Comput., 2015)

Asymptotic mean-square stability of weak second-order balanced stochastic Runge-Kutta methods for multi-dimensional Itô stochastic differential systems. - Anandaraman Rathinasamy; Priya Nair (Appl. Math. Comput., 2018)

Mean square stability and almost sure exponential stability of two step Maruyama methods of stochastic delay Hopfield neural networks. - Anandaraman Rathinasamy; J. Narayanasamy (Appl. Math. Comput., 2019)

Second-order balanced stochastic Runge-Kutta methods with multi-dimensional studies. - Anandaraman Rathinasamy; Davood Ahmadian; Priya Nair (J. Comput. Appl. Math., 2020)

Analysis of exact solution of stochastic sex-structured HIV/AIDS epidemic model with effect of screening of infectives. - Anandaraman Rathinasamy; M. Chinnadurai; S. Athithan (Math. Comput. Simul., 2021)

Strong convergence and almost sure exponential stability of balanced numerical approximations to stochastic delay Hopfield neural networks. - Anandaraman Rathinasamy; Pichamuthu Mayavel (Appl. Math. Comput., 2023)

The balanced split step theta approximations of stochastic neutral Hopfield neural networks with time delay and Poisson jumps. - Anandaraman Rathinasamy; Pichamuthu Mayavel (Appl. Math. Comput., 2023)

Stochastic perturbation to 2-LTR dynamical model in HIV infected patients. - M. Chinnadurai; Mohamed El Fatini; Anandaraman Rathinasamy (Math. Comput. Simul., 2023)

Stability and convergence analysis of stochastic Runge-Kutta and balanced stochastic Runge-Kutta methods for solving stochastic differential equations. - Vaz'he Rahimi; Davood Ahmadian; Anandaraman Rathinasamy (J. Appl. Math. Comput., 2025)