| عنوان البحث | ملخص البحث |
| Lobatto-Milstein Numerical Method in Application of Uncertainty Investment of Solar Power Projects | |
| Convergence and stability of split-step theta methods with variable step-size for stochastic pantograph differential equations | |
| Two families of theta milstein methods in a real options framework | |
| System of Ordinary Differential Equations Solving Using Cellular Neural Networks | |
| Convergence and Stability of Two Classes of Theta Methods with Variable Step Size for a Stochastic Pantograph Equations | |
| A stochastic corporate claim value model with variable delay | |
| Mean-Square Stability of Split-Step Theta Milstein Methods for Stochastic Differential Equations | |
| Approximate Solutions of Partial Differential Equations using Cellular Neural Networks | |
| Convergence, non-negativity and stability of a new Lobatto IIIC-Milstein method for a pricing option approach based on stochastic volatility model | |
| Mean-square stability of two classes of theta milstein methods for nonlinear stochastic differential equations | |
| Potential Influence of Information Systems on Bank Risk. | |
| Three Stage Numerical Method in Application: Investment of Solar Energy Projects | |
| Mean-Square Stability and Convergence of Split Step Theta Methods with Variable Step-size for Stochastic Pantograph Differential Equations | |
| Numerical Methods for the Solution of Some Differential Equations Using Artificial Intelligence | |
| The Suez Canal Area Development Project’s Investment Opportunity: A Real Options Approach | |
|
Modified Split-Step Theta Milstein Methods for M-Dimensional Stochastic Differential Equation With Respect To Poisson-Driven Jump | |
