عنوان البحث | ملخص البحث | Research Abstract |
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 | | |