Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the first kind
Само за регистроване кориснике
2021
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
It is desirable that a quadrature rule be internal, i.e., that all nodes of the rule live in the convex hull of the support of the measure. Then the rule can be applied to approximate integrals of functions that have a singularity close to the convex hull of the support of the measure. This paper investigates whether generalized averaged Gauss quadrature formulas for modified Chebyshev measures of the first kind are internal. These rules are applied to estimate the error in Gauss quadrature rules associated with modified Chebyshev measures of the first kind. It is of considerable interest to be able to assess the error in quadrature rules in order to be able to choose a rule that gives an approximation of the desired integral of sufficient accuracy without having to evaluate the integrand at unnecessarily many nodes. Some of the generalized averaged Gauss quadrature formulas considered are found not to be internal. We will show that some truncated variants of these rules are internal, ...and therefore can be applied to estimate the error in Gauss quadrature rules also when the integrand has singularities on the real axis close to the interval of integration.
Кључне речи:
Truncated generalized averaged Gauss quadrature / Modified Chebyshev measure / Internality of quadrature rule / Generalized averaged Gauss quadrature / Gauss quadratureИзвор:
Journal of Computational and Applied Mathematics, 2021, 398Издавач:
- Elsevier, Amsterdam
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
- National Science Foundation (NSF), USA [DMS-1729509]
DOI: 10.1016/j.cam.2021.113696
ISSN: 0377-0427
WoS: 000677995100010
Scopus: 2-s2.0-85109417191
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Đukić, Dušan AU - Mutavdžić Đukić, Rada AU - Reichel, Lothar AU - Spalević, Miodrag PY - 2021 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3477 AB - It is desirable that a quadrature rule be internal, i.e., that all nodes of the rule live in the convex hull of the support of the measure. Then the rule can be applied to approximate integrals of functions that have a singularity close to the convex hull of the support of the measure. This paper investigates whether generalized averaged Gauss quadrature formulas for modified Chebyshev measures of the first kind are internal. These rules are applied to estimate the error in Gauss quadrature rules associated with modified Chebyshev measures of the first kind. It is of considerable interest to be able to assess the error in quadrature rules in order to be able to choose a rule that gives an approximation of the desired integral of sufficient accuracy without having to evaluate the integrand at unnecessarily many nodes. Some of the generalized averaged Gauss quadrature formulas considered are found not to be internal. We will show that some truncated variants of these rules are internal, and therefore can be applied to estimate the error in Gauss quadrature rules also when the integrand has singularities on the real axis close to the interval of integration. PB - Elsevier, Amsterdam T2 - Journal of Computational and Applied Mathematics T1 - Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the first kind VL - 398 DO - 10.1016/j.cam.2021.113696 ER -
@article{ author = "Đukić, Dušan and Mutavdžić Đukić, Rada and Reichel, Lothar and Spalević, Miodrag", year = "2021", abstract = "It is desirable that a quadrature rule be internal, i.e., that all nodes of the rule live in the convex hull of the support of the measure. Then the rule can be applied to approximate integrals of functions that have a singularity close to the convex hull of the support of the measure. This paper investigates whether generalized averaged Gauss quadrature formulas for modified Chebyshev measures of the first kind are internal. These rules are applied to estimate the error in Gauss quadrature rules associated with modified Chebyshev measures of the first kind. It is of considerable interest to be able to assess the error in quadrature rules in order to be able to choose a rule that gives an approximation of the desired integral of sufficient accuracy without having to evaluate the integrand at unnecessarily many nodes. Some of the generalized averaged Gauss quadrature formulas considered are found not to be internal. We will show that some truncated variants of these rules are internal, and therefore can be applied to estimate the error in Gauss quadrature rules also when the integrand has singularities on the real axis close to the interval of integration.", publisher = "Elsevier, Amsterdam", journal = "Journal of Computational and Applied Mathematics", title = "Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the first kind", volume = "398", doi = "10.1016/j.cam.2021.113696" }
Đukić, D., Mutavdžić Đukić, R., Reichel, L.,& Spalević, M.. (2021). Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the first kind. in Journal of Computational and Applied Mathematics Elsevier, Amsterdam., 398. https://doi.org/10.1016/j.cam.2021.113696
Đukić D, Mutavdžić Đukić R, Reichel L, Spalević M. Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the first kind. in Journal of Computational and Applied Mathematics. 2021;398. doi:10.1016/j.cam.2021.113696 .
Đukić, Dušan, Mutavdžić Đukić, Rada, Reichel, Lothar, Spalević, Miodrag, "Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the first kind" in Journal of Computational and Applied Mathematics, 398 (2021), https://doi.org/10.1016/j.cam.2021.113696 . .
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