Numerical methods for nonlinear stochastic differential equations with jumps

2005 ◽  
Vol 101 (1) ◽  
pp. 101-119 ◽  
Author(s):  
Desmond J. Higham ◽  
Peter.E. Kloeden
2005 ◽  
Vol 168 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Mahmoud M. El-Borai ◽  
Khairia El-said El-Nadi ◽  
Osama L. Mostafa ◽  
Hamdy M. Ahmed

2019 ◽  
Vol 23 (Suppl. 1) ◽  
pp. 1-12 ◽  
Author(s):  
Burhaneddin Izgi ◽  
Coskun Cetin

We develop Milstein-type versions of semi-implicit split-step methods for numerical solutions of non-linear stochastic differential equations with locally Lipschitz coefficients. Under a one-sided linear growth condition on the drift term, we obtain some moment estimates and discuss convergence properties of these numerical methods. We compare the performance of multiple methods, including the backward Milstein, tamed Milstein, and truncated Milstein procedures on non-linear stochastic differential equations including generalized stochastic Ginzburg-Landau equations. In particular, we discuss their empirical rates of convergence.


2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Mustafa Bayram ◽  
Tugcem Partal ◽  
Gulsen Orucova Buyukoz

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