1985
DOI: 10.1137/0722069
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Integration of Multiplicative-Noise Stochastic Differential Equations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
53
0

Year Published

1992
1992
2014
2014

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 96 publications
(54 citation statements)
references
References 11 publications
0
53
0
Order By: Relevance
“…(6) is integrated by the fast Fourier transform method plus the split-operator [14], as in a closed quantum system. The terms involving L m are integrated using a second order scheme [15]. The dynamics resulting from the Stochastic Schrödinger equation (6), when averaged over many realizations of the Wiener process, provides the solution to Eq.…”
Section: Decoherence: Formulation and Computationmentioning
confidence: 99%
“…(6) is integrated by the fast Fourier transform method plus the split-operator [14], as in a closed quantum system. The terms involving L m are integrated using a second order scheme [15]. The dynamics resulting from the Stochastic Schrödinger equation (6), when averaged over many realizations of the Wiener process, provides the solution to Eq.…”
Section: Decoherence: Formulation and Computationmentioning
confidence: 99%
“…The stochastic differential equation (38) can be treated numerically using first-order Euler integration. For small ∆t, the deterministic integral is…”
Section: Appendixmentioning
confidence: 99%
“…The first order and the second order systems are numerically simulated by the modified Heun algorithm of the order 2 [5]. To solve Langevin equations with third order systems which involve chaos, treated in section 4, one needs to adopt a higher order algorithm.…”
Section: Methodsmentioning
confidence: 99%