Length Scales in Bayesian Automatic Adaptive Quadrature
Two conceptual developments in the Bayesian automatic adaptive quadrature approach to the numerical solution of one-dimensional Riemann integrals [Gh. Adam, S. Adam, Springer LNCS 7125, 1–16 (2012)] are reported. First, it is shown that the numerical quadrature which avoids the overcomputing and min...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
EDP Sciences
2016-01-01
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| Reeks: | EPJ Web of Conferences |
| Online toegang: | http://dx.doi.org/10.1051/epjconf/201610802002 |
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