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Titlebook: Spline Functions and Multivariate Interpolations; B. D. Bojanov,H. A. Hakopian,A. A. Sahakian Book 1993 Springer Science+Business Media B.

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书目名称Spline Functions and Multivariate Interpolations
编辑B. D. Bojanov,H. A. Hakopian,A. A. Sahakian
视频video
丛书名称Mathematics and Its Applications
图书封面Titlebook: Spline Functions and Multivariate Interpolations;  B. D. Bojanov,H. A. Hakopian,A. A. Sahakian Book 1993 Springer Science+Business Media B.
描述Spline functions entered Approximation Theory as solutions of natural extremal problems. A typical example is the problem of drawing a function curve through given n + k points that has a minimal norm of its k-th derivative. Isolated facts about the functions, now called splines, can be found in the papers of L. Euler, A. Lebesgue, G. Birkhoff, J. Favard, L. Tschakaloff. However, the Theory of Spline Functions has developed in the last 30 years by the effort of dozens of mathematicians. Recent fundamental results on multivariate polynomial interpolation and multivari­ ate splines have initiated a new wave of theoretical investigations and variety of applications. The purpose of this book is to introduce the reader to the theory of spline functions. The emphasis is given to some new developments, such as the general Birkoff‘s type interpolation, the extremal properties of the splines and their prominant role in the optimal recovery of functions, multivariate interpolation by polynomials and splines. The material presented is based on the lectures of the authors, given to the students at the University of Sofia and Yerevan University during the last 10 years. Some more elementary res
出版日期Book 1993
关键词Approximation; Interpolation; algebra; approximation theory; function
版次1
doihttps://doi.org/10.1007/978-94-015-8169-1
isbn_softcover978-90-481-4259-0
isbn_ebook978-94-015-8169-1
copyrightSpringer Science+Business Media B.V. 1993
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are represented by the design, evaluation, and maintenance of numerical software, are fully developed to a level of achievement which is comparable to that of its more theoretical aspects. The establishment of a tradition in reporting about the design of numerical software will give more recognitio
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Interpolation by Spline Functions,re three or more interpolation nodes are situated between two consecutive ..’s, the problem becomes unresolvable. We shall give here a complete characterization of the Hermite interpolation problem by spline functions with multiple knots. The .-spline representation of . leads us to the study of the corresponding collocation matrix {..(..)}.
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The Space of Splines,he degree of this approximation depends essentially on the degree of the polynomial and the length of the considered interval [a, .]. Since the computation operations on polynomials of high degree involve certain problems it is advisable to use polynomials of low degree. In such a case, in order to
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Interpolation by Spline Functions,esponding system depends entirely on the mutual location of the interpolation nodes . and the spline knots . For example, in the case .. = .., . = 1,... ,., the problem has a unique solution: the piecewise linear function with vertices at (.., ..), . = 0,..., . + 1 On the other hand, in the case whe
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