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The boundary layer problem in Bayesian adaptive quadrature

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Abstract

The boundary layer of a finite domain [a, b] covers mesoscopic lateral neighborhoods, inside [a, b], of the endpoints a and b. The correct diagnostic of the integrand behavior at a and b, based on its sampling inside the boundary layer, is the first from a set of hierarchically ordered criteria allowing a priori Bayesian inference on efficient mesh generation in automatic adaptive quadrature.

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Adam, G., Adam, S. The boundary layer problem in Bayesian adaptive quadrature. Phys. Part. Nuclei Lett. 5, 269–273 (2008). https://doi.org/10.1134/S1547477108030278

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  • DOI: https://doi.org/10.1134/S1547477108030278

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