Abstract
Because of its simple structure and good approximation properties, algebraic polynomials are widely used in practice for approximating of functions. The degree of this approximation depends essentially on the degree of the polynomial and the length of the considered interval [a, b]. 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 achieve the desired accuracy we have to restrict ourselves to a small interval. For this purpose, one usually divides the original interval of consideration [a,b] into sufficiently small subintervals \( \left\{ {\left[ {{x_k},{x_{k + 1}}} \right]} \right\}_{k = 0}^n \) and then uses a low degree polynomials p k for approximation over \( \left\{ {\left[ {{x_k},{x_{k + 1}}} \right]} \right\} \),..., n. This procedure produces a piecewise polynomial approximating function s(x),
.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Bojanov, B.D., Hakopian, H.A., Sahakian, A.A. (1993). The Space of Splines. In: Spline Functions and Multivariate Interpolations. Mathematics and Its Applications, vol 248. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8169-1_2
Download citation
DOI: https://doi.org/10.1007/978-94-015-8169-1_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4259-0
Online ISBN: 978-94-015-8169-1
eBook Packages: Springer Book Archive