Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Fred J. Hickernell"'
Autor:
Xin Tong, Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluís Antoni Jiménez Rugama, Jagadeeswaran Rathinavel, Kan Zhang, Yizhi Zhang, Xuan Zhou
Publikováno v:
Journal of Open Research Software, Vol 10, Iss 1 (2022)
Function approximation, integration, and optimization are three fundamental mathematical problems. They are especially challenging when the functions involved fluctuate wildly in certain parts of the domain, or if the domain is high dimensional. Idea
Externí odkaz:
https://doaj.org/article/c5de74303c684c8592a54e522d1a87f2
Autor:
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030983185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::114e3d72cd19644b50ab63e0c6bd1612
https://doi.org/10.1007/978-3-030-98319-2_2
https://doi.org/10.1007/978-3-030-98319-2_2
Publikováno v:
Advances in Modeling and Simulation ISBN: 9783031101922
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2cd54e2a981bc4ab7b253ba2366f7f3
https://doi.org/10.1007/978-3-031-10193-9_15
https://doi.org/10.1007/978-3-031-10193-9_15
Publikováno v:
Multivariate Algorithms and Information-Based Complexity ISBN: 9783110635461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c83ccde0eeec59131a1457c0e008de
https://doi.org/10.1515/9783110635461-007
https://doi.org/10.1515/9783110635461-007
Publikováno v:
2018 MATRIX Annals ISBN: 9783030382292
In this article we consider the approximation of compact linear operators defined over tensor product Hilbert spaces. Necessary and sufficient conditions on the singular values of the problem under which we can or cannot achieve different notions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b91b709233c206c4c8b33ee1a3770d
https://doi.org/10.1007/978-3-030-38230-8_5
https://doi.org/10.1007/978-3-030-38230-8_5
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030434649
Automatic algorithms attempt to provide approximate solutions that differ from exact solutions by no more than a user-specified error tolerance. This paper describes an automatic, adaptive algorithm for approximating the solution to a general linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef090b9d16ddca3309aff3c976373418
https://doi.org/10.1007/978-3-030-43465-6_8
https://doi.org/10.1007/978-3-030-43465-6_8
Publikováno v:
Contemporary Experimental Design, Multivariate Analysis and Data Mining ISBN: 9783030461607
Experimental designs intended to match arbitrary target distributions are typically constructed via a variable transformation of a uniform experimental design. The inverse distribution function is one such transformation. The discrepancy is a measure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ec6adc70dc38a6fe0cff130729d2504
https://doi.org/10.1007/978-3-030-46161-4_5
https://doi.org/10.1007/978-3-030-46161-4_5
Publikováno v:
Wiley StatsRef: Statistics Reference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc2045ab6a22793ecca295302cdaed81
https://doi.org/10.1002/9781118445112.stat08035
https://doi.org/10.1002/9781118445112.stat08035
Autor:
Elise Arnaud, Fred J. Hickernell, Laurent Gilquin, Clémentine Prieur, Hervé Monod, Lluís Antoni Jiménez Rugama
Publikováno v:
Comptes Rendus Mathematique. 355(1):10-14
In the perspective of estimating main effects of model inputs, two approaches are studied to iteratively construct replicated designs based on Sobol' sequences. Space-filling properties of the resulting designs are studied based on two criteria.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d7b317cb806a0393a88a23bf8d9ca65
Autor:
R. Jagadeeswaran, Fred J. Hickernell
Publikováno v:
Statist. Sci. 34, no. 1 (2019), 23-28
Probabilistic integration provides a criterion for stopping a simulation when a specified error tolerance is satisfied with high confidence. We comment on some of the modeling assumptions and implementation issues involved in designing an automatic B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaa9a2df266c0bd75c046f955b06fd2b
https://doi.org/10.1214/18-sts685
https://doi.org/10.1214/18-sts685