Weak second-order explicit stabilized methods for stiff stochastic differential equations (Q2855645)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Weak second-order explicit stabilized methods for stiff stochastic differential equations |
scientific article; zbMATH DE number 6220408
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Weak second-order explicit stabilized methods for stiff stochastic differential equations |
scientific article; zbMATH DE number 6220408 |
Statements
28 October 2013
0 references
explicit stochastic methods
0 references
stabilized methods
0 references
second-order orthogonal Runge-Kutta-Chebyshev methods
0 references
systems of stiff stochastic differential equations
0 references
weak second-order convergence
0 references
asymptotic stability
0 references
mean-square stability
0 references
numerical experiments
0 references
Weak second-order explicit stabilized methods for stiff stochastic differential equations (English)
0 references
Second-order orthogonal Runge-Kutta-Chebyshev methods for stiff deterministic ordinary differential equations are generalized and modified to apply to systems of stiff stochastic differential equations (SSDE) of the form NEWLINE\[NEWLINEdX(t)= f(X(t))\,dt+ \sum^m_{r=1} g^r(X(t))\,dW_r(t),\quad X(0)= X_0,NEWLINE\]NEWLINE where the \(W_r(t)\) are independent one-dimensional Wiener processes. An explicit method, denoted S-ROCK2, is derived and shown to have weak second-order convergence. Its numerical asymptotic stability domain and its numerical mean-square stability domain are found, and its stability properties are shown to compare favorably to those of other methods for SSDE. Results of numerical experiments are presented that demonstrate the advantages of S-ROCK2.
0 references