Abstract
The application of Adams methods for the numerical solution of stochastic differential equations is considered. Especially we discuss the path-wise (strong) solutions of stochastic differential equations with additive noise and their numerical computation. The special structure of these problems suggests the application of Adams methods, which are used for deterministic differential equations very successfully. Applications to circuit simulation are presented.
Similar content being viewed by others
References
Bodo, B. A., Thompson, M. E., Unny, T. E.: A review on stochastic differential equations for applications in hydrology. Stochastic Hydrol. Hydraul.1, 81–100 (1987).
Chang, C.: Numerical solution of stochastic differential equations with constant diffusion coefficients. Math. Comput.49, 523–542 (1987).
Feldmann, U., Wever, U., Zheng, Q., Schultz, R., Wriedt, H.: Algorithms for modern circuit simulation. AEÜ46, 274–285 (1992).
Kampowsky, W., Rentrop, P., Schmidt, W.: Classification and numerical simulation of electric circuits. Surv. Math. Ind.2, 23–65 (1992).
Kloeden, P. E., Platen, E.: Numerical solution of stochastic differential equations. Applications of mathematics, vol. 23. Berlin, Heidelberg, New York, Tokyo: Springer, 1992.
Komori, Y., Saito, Y., Mitsui, T.: Some issues in discrete approximate solution for stochastic differential equations. Comput. Math. Appl.28, 269–278 (1994).
Milstein, G. N.: Approximate integration of stochastic differential equations. Theory Prob. Appl.19, 557–562 (1974).
Milstein, G. N.: Numerical integration of stochastic differential equations. Dordrecht: Kluwer 1995.
Øksendal, B.: Stochastic differential equations, 3rd ed. (Universitext). Berlin, Heidelberg, New York, Tokyo: Springer, 1992.
Pardoux, E., Talay, D.: Discretization and simulation of stochastic differential equations. Acta Appl. Math.3, 23–47 (1985).
Schäffler, S.: Unconstrained global optimization using stochastic integral equations. Optimization35, 43–60 (1995).
Stoer, J., Bulirsch, R.: Introduction to numerical analysis, 2nd ed. New York: Springer, 1993.
Talay, D.: How to discretize stochastic differential equations. Lect. Notes Math.972, 276–292 (1983).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Denk, G., Schäffler, S. Adams methods for the efficient solution of stochastic differential equations with additive noise. Computing 59, 153–161 (1997). https://doi.org/10.1007/BF02684477
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02684477