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A step size control algorithm for the weak approximation of stochastic differential equations

✍ Scribed by Dominique Küpper; Jürgen Lehn; Andreas Rößler


Publisher
Springer US
Year
2007
Tongue
English
Weight
434 KB
Volume
44
Category
Article
ISSN
1017-1398

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✍ Susanne Mauthner 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 749 KB

We introduce a variable step size algorithm for the pathwise numerical approximation of solutions to stochastic ordinary differential equations. The algorithm is based on a new pair of embedded explicit Runge-Kutta methods of strong order 1.5(1.0), where the method of strong order 1.5 advances the n