Shape preserving spline approximation via local algorithms.

Please use this identifier to cite or link to this item: http://sutir.sut.ac.th:8080/jspui/handle/123456789/428

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DC Field	Value	Language
dc.contributor.author	Boris I. Kvasov	-
dc.date.accessioned	2008-07-14T06:38:46Z	-
dc.date.available	2008-07-14T06:38:46Z	-
dc.date.issued	1996	-
dc.identifier.citation	in : Advanced Topic in Multivariate Approximation,F.Fontanella,K.Jetter and P.J. Laurent (eds.),pp.181-196,1996.,0	en
dc.identifier.uri	http://sutir.sut.ac.th:8080/jspui/handle/123456789/428	-
dc.description	ผลงานวิชาการคณาจารย์มหาวิทยาลัยเทคโนโลยีสุรนารี	en
dc.description.abstract	Algorithms are presented for the construction of histopolating splines consisting of linear/linear rational or quadratic polynomial pieces. A unique comonotone histospline of such kind exists for any histogram with weak alternation of data. In general case, without weak alternation of data, a modified comonotone spline histopolation strategy should be used. The method is implemented via the representation with histogram heights and knot values of first derivatives of the spline. Numerical examples are given.	en
dc.format.extent	244222 bytes	-
dc.format.extent	16814 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	en
dc.subject	Shape preserving	en
dc.subject	splines	en
dc.title	Shape preserving spline approximation via local algorithms.	en
dc.type	Article	en
Appears in Collections:	บทความ (Articles)

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