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Numerical methods and programming, 2009, Volume 10, Issue 4, Pages 391–397
(Mi vmp393)
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Вычислительные методы и приложения
Principles of the Bayesian automatic adaptive quadrature
G. Adam, S. Adam Joint Institute for Nuclear Research, Dubna, Moscow region
Abstract:
The addition of Bayesian inference to the automatic adaptive quadrature scheme developed in QUADPACK (R. Piessens,
E. deDoncker-Kapenga, C.W. Uberhuber, and D.K. Kahaner,
QUADPACK, a quadrature package for automatic integration,
Springer, Berlin, 1983) significantly increases the output reliability under the lack of \it a priori knowledge on the behavior of the function over the integration domain.
In the present paper, we review the progress obtained until now along these lines.
Keywords: numerical integration, automatic adaptive quadrature, integrand profile analysis, reliability, Bayesian inference
Keywords:
numerical integration; automatic adaptive quadrature; integrand profile analysis; reliability; Bayesian inference.
Citation:
G. Adam, S. Adam, “Principles of the Bayesian automatic adaptive quadrature”, Num. Meth. Prog., 10:4 (2009), 391–397
Linking options:
https://www.mathnet.ru/eng/vmp393 https://www.mathnet.ru/eng/vmp/v10/i4/p391
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