Follow
A.Rathinasamy
A.Rathinasamy
Assistant Professor, Department of Applied Sciences and Humanities, MIT Campus, Anna University
Verified email at annauniv.edu - Homepage
Title
Cited by
Cited by
Year
Mean square stability of semi-implicit Euler method for linear stochastic differential equations with multiple delays and Markovian switching
A Rathinasamy, K Balachandran
Applied mathematics and computation 206 (2), 968-979, 2008
362008
Mean-square stability of Milstein method for linear hybrid stochastic delay integro-differential equations
A Rathinasamy, K Balachandran
Nonlinear Analysis: Hybrid Systems 2 (4), 1256-1263, 2008
362008
Mean-square stability of second-order Runge–Kutta methods for multi-dimensional linear stochastic differential systems
A Rathinasamy, K Balachandran
Journal of computational and applied mathematics 219 (1), 170-197, 2008
282008
Split-step θ-methods for stochastic age-dependent population equations with Markovian switching
A Rathinasamy
Nonlinear Analysis: Real World Applications 13 (3), 1334-1345, 2012
252012
Convergence of numerical solutions for a class of stochastic age-dependent capital system with random jump magnitudes
Q Zhang, A Rathinasamy
Applied Mathematics and Computation 219 (14), 7297-7305, 2013
242013
Mean square stability and almost sure exponential stability of two step Maruyama methods of stochastic delay Hopfield neural networks
A Rathinasamy, J Narayanasamy
Applied Mathematics and Computation 348, 126-152, 2019
212019
Analysis of exact solution of stochastic sex-structured HIV/AIDS epidemic model with effect of screening of infectives
A Rathinasamy, M Chinnadurai, S Athithan
Mathematics and computers in simulation 179, 213-237, 2021
182021
Numerical analysis for stochastic age-dependent population equations with Poisson jump and phase semi-Markovian switching
A Rathinasamy, B Yin, B Yasodha
Communications in Nonlinear Science and Numerical Simulation 16 (1), 350-362, 2011
182011
The split-step θ-methods for stochastic delay Hopfield neural networks
A Rathinasamy
Applied Mathematical Modelling 36 (8), 3477-3485, 2012
172012
T-stability of the split-step θ-methods for linear stochastic delay integro-differential equations
A Rathinasamy, K Balachandran
Nonlinear Analysis: Hybrid Systems 5 (4), 639-646, 2011
142011
Performance analysis of an Mx/G/1 feedback retrial queue with non-persistent customers and multiple vacations with N-policy
V Jailaxmi, R Arumuganathan, A Rathinasamy
International Journal of Operational Research 29 (2), 149-169, 2017
132017
Steady state analysis of a non-Markovian bulk queueing system with N-policy and different types of vacation
R Arumuganathan, TJ Malliga, A Rathinasamy
International Journal of Modern Mathematics 3 (1), 47-66, 2008
132008
Strong convergence and almost sure exponential stability of balanced numerical approximations to stochastic delay Hopfield neural networks
A Rathinasamy, P Mayavel
Applied Mathematics and Computation 438, 127573, 2023
102023
Convergence of the split-step θ-method for stochastic age-dependent population equations with Poisson jumps
J Tan, A Rathinasamy, Y Pei
Applied Mathematics and Computation 254, 305-317, 2015
102015
An Mx/G/1 retrial queue with two phase service under active server breakdowns, two types of repair and multiple vacations with N-policy
V Jailaxmi, R Arumuganathan, A Rathinasamy
International Journal of Operational Research 18 (1), 35-61, 2013
102013
Second-order balanced stochastic Runge–Kutta methods with multi-dimensional studies
A Rathinasamy, D Ahmadian, P Nair
Journal of Computational and Applied Mathematics 377, 112890, 2020
82020
Asymptotic mean-square stability of weak second-order balanced stochastic Runge–Kutta methods for multi-dimensional It˘ stochastic differential systems
A Rathinasamy, P Nair
Applied Mathematics and Computation 332, 276-303, 2018
82018
Analysis of a stochastic coronavirus (COVID-19) LÚvy jump model with protective measures
T Caraballo, M El Fatini, M El Khalifi, A Rathinasamy
Stochastic Analysis and Applications 41 (1), 45-59, 2023
52023
A new convergence and positivity analysis of balanced Euler method for stochastic age‐dependent population equations
J Tan, P Mayavel, A Rathinasamy, H Cao
Numerical Methods for Partial Differential Equations 37 (2), 1752-1765, 2021
52021
Strong Convergence of the Split‐Step θ‐Method for Stochastic Age‐Dependent Capital System with Random Jump Magnitudes
J Tan, A Rathinasamy, H Wang, Y Guo
Abstract and Applied Analysis 2014 (1), 791048, 2014
32014
The system can't perform the operation now. Try again later.
Articles 1–20