Электронный каталог

Книга (аналит. описание)

Adam, G.
A Priori Knowledge Driven Input to Bayesian Two-Rule Automatic Adaptive Quadrature / G.Adam, S.Adam // Proceedings of the TIM 22 Physics Conference, Timisoara, Romania, 23–25 November 2022 [Electronic resource] / Ed.: A.Popescu, A.Rau, M.Lungu. – New York : AIP, 2024. – P. 050002. – URL: https://doi.org/10.1063/5.0215640. – Bibliogr.: 11.

The Bayesian two-rule automatic adaptive quadrature (B2AAQ) of one-dimensional Riemann integrals is critically driven by the a priori input provided by the user. Conditions enabling straightforward elementary input of problem parameters are defined that result in either a single subrange decision tree or a forest of subrange decision trees. This secures a B2AAQ implementation characterized by robustness, reliability and efficiency, together with a significant extension of the flexibility of use as compared to the QUADPACK package, which is the core of the computational integration chapters of the major computer libraries worldwide. – (AIP Conference Proceedings ; Vol. 3181) .



ОИЯИ = ОИЯИ (JINR)2024
Спец.(статьи,препринты) = С 15 - Теория вероятностей и математическая статистика