Floating Point Degree of Precision in Numerical Quadrature-Reference-Cited by-同舟云学术

Floating Point Degree of Precision in Numerical Quadrature

Published:2012 Issue: Volume: Page:189-194
ISSN:0302-9743
Container-title:Mathematical Modeling and Computational Science
language:
Short-container-title:

Author:

Adam Sanda,Adam Gheorghe

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-28212-6_19

Reference5 articles.

1. Adam, G., Adam, S.: Principles of the Bayesian automatic adaptive quadrature. Numerical Methods and Programming: Advanced Computing 10, 391–397 (2009), http://num-meth.srcc.msu.ru

2. LNCS;G. Adam,2012

3. Adam, G., Adam, S.: Floating point degree of precision of an interpolatory quadrature sum. Rom. Journ. Phys. 55, 469–479 (2010)

4. Adam, G., Nobile, A.: Product integration rules at Clenshaw-Curtis and related points: a robust implementation. IMA J. Numerical Analysis 11, 271–296 (1991)

5. Piessens, R., de Doncker-Kapenga, E., Überhuber, C.W., Kahaner, D.K.: QUADPACK, a subroutine package for automatic integration. Springer, Berlin (1983)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Pivotal Role of Input Validation for Robust and Reliable Bayesian Automatic Adaptive Quadrature;2023 International Conference on Advanced Scientific Computing (ICASC);2023-10-18

2. Local Versus Global Decisions in Bayesian Automatic Adaptive Quadrature;EPJ Web of Conferences;2020

3. Improved decision path in Bayesian automatic adaptive quadrature;AIP Conference Proceedings;2019

4. Length Scales in Bayesian Automatic Adaptive Quadrature;EPJ Web of Conferences;2016

5. Handling accuracy in Bayesian automatic adaptive quadrature;Journal of Physics: Conference Series;2015-06-26