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Quasi-interpolation
~
Buhmann, Martin.
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Quasi-interpolation
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Quasi-interpolation/ Martin Buhmann, Janin Jäger.
作者:
Buhmann, Martin.
其他作者:
Jäger, Janin.
出版者:
Cambridge :Cambridge University Press, : 2022.,
面頁冊數:
xiii, 275 p. :ill., digital ;25 cm.
附註:
Title from publisher's bibliographic system (viewed on 25 Feb 2022).
標題:
Interpolation. -
電子資源:
https://doi.org/10.1017/9781139680523
ISBN:
9781139680523
Quasi-interpolation
Buhmann, Martin.
Quasi-interpolation
[electronic resource] /Martin Buhmann, Janin Jäger. - Cambridge :Cambridge University Press,2022. - xiii, 275 p. :ill., digital ;25 cm. - Cambridge monographs on applied and computational mathematics ;37. - Cambridge monographs on applied and computational mathematics ;37..
Title from publisher's bibliographic system (viewed on 25 Feb 2022).
Quasi-interpolation is one of the most useful and often applied methods for the approximation of functions and data in mathematics and applications. Its advantages are manifold: quasi-interpolants are able to approximate in any number of dimensions, they are efficient and relatively easy to formulate for scattered and meshed nodes and for any number of data. This book provides an introduction into the field for graduate students and researchers, outlining all the mathematical background and methods of implementation. The mathematical analysis of quasi-interpolation is given in three directions, namely on the basis (spline spaces, radial basis functions) from which the approximation is taken, on the form and computation of the quasi-interpolants (point evaluations, averages, least squares), and on the mathematical properties (existence, locality, convergence questions, precision). Learn which type of quasi-interpolation to use in different contexts and how to optimise its features to suit applications in physics and engineering.
ISBN: 9781139680523Subjects--Topical Terms:
620349
Interpolation.
LC Class. No.: QA281 / .B94 2022
Dewey Class. No.: 511.422
Quasi-interpolation
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Quasi-interpolation is one of the most useful and often applied methods for the approximation of functions and data in mathematics and applications. Its advantages are manifold: quasi-interpolants are able to approximate in any number of dimensions, they are efficient and relatively easy to formulate for scattered and meshed nodes and for any number of data. This book provides an introduction into the field for graduate students and researchers, outlining all the mathematical background and methods of implementation. The mathematical analysis of quasi-interpolation is given in three directions, namely on the basis (spline spaces, radial basis functions) from which the approximation is taken, on the form and computation of the quasi-interpolants (point evaluations, averages, least squares), and on the mathematical properties (existence, locality, convergence questions, precision). Learn which type of quasi-interpolation to use in different contexts and how to optimise its features to suit applications in physics and engineering.
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https://doi.org/10.1017/9781139680523
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