scholarly journals Parareal Algorithms Applied to Stochastic Differential Equations with Conserved Quantities

2019 ◽  
Vol 37 (1) ◽  
pp. 48-60 ◽  
Author(s):  
Liying Zhang
2016 ◽  
Vol 56 (4) ◽  
pp. 1497-1518 ◽  
Author(s):  
Weien Zhou ◽  
Liying Zhang ◽  
Jialin Hong ◽  
Songhe Song

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2195
Author(s):  
Zhenyu Wang ◽  
Qiang Ma ◽  
Xiaohua Ding

Explicit numerical methods have a great advantage in computational cost, but they usually fail to preserve the conserved quantity of original stochastic differential equations (SDEs). In order to overcome this problem, two improved versions of explicit stochastic Runge–Kutta methods are given such that the improved methods can preserve conserved quantity of the original SDEs in Stratonovich sense. In addition, in order to deal with SDEs with multiple conserved quantities, a strategy is represented so that the improved methods can preserve multiple conserved quantities. The mean-square convergence and ability to preserve conserved quantity of the proposed methods are proved. Numerical experiments are implemented to support the theoretical results.


2012 ◽  
Author(s):  
Bo Jiang ◽  
Roger Brockett ◽  
Weibo Gong ◽  
Don Towsley

2020 ◽  
Vol 53 (2) ◽  
pp. 2220-2224
Author(s):  
William M. McEneaney ◽  
Hidehiro Kaise ◽  
Peter M. Dower ◽  
Ruobing Zhao

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