Special Issue on 

Stochastic Simulation Method and Its Applications

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in this area of Stochastic Simulation Method and Its Applications.

In this special issue, we invite front-line researchers and authors to submit original research and review articles that explore Stochastic Simulation Method and Its Applications. In this special issue, potential topics include, but are not limited to:

• Stochastic differential equations
• Stochastic numerical methods
• Theoretical analysis of stochastic numerical methods  
• Monte Carlo simulations of stochastic processes
• Stochastic simulation and optimization methods  
• Discrete-space Markov processes
• Applications of stochastic simulation methods

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue – Stochastic Simulation Method and Its Applications” should be selected during your submission.

Special Issue timetable:

Guest Editor:

Dr.Mamoni Dhar , Kokrajhar Kokrajhar-783370, Assam, India.

For further questions or inquiries

Please contact the Editorial Assistant at

jamp@scirp.org