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Cited by 264

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The numerical solution of stochastic differential equations

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Kloeden, P. E., Pearson, R. A.·1977·The Journal of the Australian Mathematical Society. Series B. Applied Mathematics

Abstract

A method is proposed for the numerical solution of Itô stochastic differential equations by means of a second-order Runge–Kutta iterative scheme rather than the less efficient Euler iterative scheme. It requires the Runge–Kutta iterative scheme to be applied to a different stochastic differential equation obtained by subtraction of a correction term from the given one.

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Metadata

Authors
Kloeden, P. E., & Pearson, R. A.
Venue
The Journal of the Australian Mathematical Society. Series B. Applied Mathematics
Published
1977-06
Volume
20
Issue
1
Pages
8-12
ISSN
  • 0334-2700 (ISSN-L)
  • 1839-4078
OpenAlex
W2072118886
Cited by
264
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The numerical solution of stochastic differential equations. https://app.cochat.ai/papers/10.1017/s0334270000001405
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Kloeden, P. E., & Pearson, R. A. (1977). The numerical solution of stochastic differential equations. The Journal of the Australian Mathematical Society. Series B. Applied Mathematics. https://doi.org/10.1017/s0334270000001405

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.