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Modelling a solution of a hyperbolic equation with random initial conditions
Author(s):
Yu.
V.
Kozachenko;
G.
I.
Slivka
Abstract | References | Similar articles | Additional information Abstract: A new method is proposed in this paper to construct models for solutions of boundary problems for hyperbolic equations with random initial conditions. We assume that initial conditions are strictly sub-Gaussian random fields (in particular, Gaussian random fields with zero mean). The models approximate solutions with a given accuracy and reliability in the uniform metric.
Retrieve articles in Theory of Probability and Mathematical Statistics with MSC (2000): 60G35, 35L20 Retrieve articles in all Journals with MSC (2000): 60G35, 35L20
Yu.
V.
Kozachenko
G.
I.
Slivka
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