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Электронный каталог: Adam, G. - The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature
Adam, G. - The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature
Книга (аналит. описание)
Автор: Adam, G.
14th International Conference on Advanced Scientific Computing (ICASC 2023), Cluj-Napoca, Romania, 18-20 Oct. 2023 [Electronic resource]: The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature
б.г.
ISBN отсутствует
Автор: Adam, G.
14th International Conference on Advanced Scientific Computing (ICASC 2023), Cluj-Napoca, Romania, 18-20 Oct. 2023 [Electronic resource]: The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature
б.г.
ISBN отсутствует
Книга (аналит. описание)
Adam, G.
The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature / G.Adam, S.Adam // 14th International Conference on Advanced Scientific Computing (ICASC 2023), Cluj-Napoca, Romania, 18-20 Oct. 2023 [Electronic resource]. – [S.l.] : IEEE, 2023. – P. 10328030. – URL: https://doi.org/10.1109/ICASC58845.2023.10328030. – Bibliogr.: 17.
New developments are reported for the recursive algorithms of the Bayesian inference based automatic adaptive quadrature (BAAQ) of the one-dimensional Riemann integrals with the aim at securing robust and reliable automatic decisions at critical steps of the solution path. First, the integrand function conditioning at the ends of a subrange decision tree root is resolved within a Bayesian predictor-corrector algorithm, resulting in decisions characterized by uniqueness and reliability. Second, a new subrange strategy refinement enables the highest accuracy available output under cancellation by subtraction. All the reported advances to the reliable definition of the adaptive BAAQ path to the derivation of the automatic solution use appropriate input validation procedures.
ОИЯИ = ОИЯИ (JINR)2023
Спец.(статьи,препринты) = С 17 и - Математическая кибернетика
Adam, G.
The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature / G.Adam, S.Adam // 14th International Conference on Advanced Scientific Computing (ICASC 2023), Cluj-Napoca, Romania, 18-20 Oct. 2023 [Electronic resource]. – [S.l.] : IEEE, 2023. – P. 10328030. – URL: https://doi.org/10.1109/ICASC58845.2023.10328030. – Bibliogr.: 17.
New developments are reported for the recursive algorithms of the Bayesian inference based automatic adaptive quadrature (BAAQ) of the one-dimensional Riemann integrals with the aim at securing robust and reliable automatic decisions at critical steps of the solution path. First, the integrand function conditioning at the ends of a subrange decision tree root is resolved within a Bayesian predictor-corrector algorithm, resulting in decisions characterized by uniqueness and reliability. Second, a new subrange strategy refinement enables the highest accuracy available output under cancellation by subtraction. All the reported advances to the reliable definition of the adaptive BAAQ path to the derivation of the automatic solution use appropriate input validation procedures.
ОИЯИ = ОИЯИ (JINR)2023
Спец.(статьи,препринты) = С 17 и - Математическая кибернетика