Abstract
This paper deals with a comparison of an ordinary power series in which the error tends to be large at the ends of the interval and small in the middle versus lower ordered Tschebyshev polynomials which result in minimum error at the ends of the interval. It is suggested that extrapolation error would be minimized through the use of Tschebyshev polynomials which converge more rapidly (have higher marginal utility per term) than any other set of orthogonal polynomials. It is further suggested that where possible a tradeoff be made of the marginal utility of adding another datum point to the sample versus adding another term to the power series, in order to achieve an “optimal” balance between these two contributors to error reduction.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Conte, S. D., “Elementary Numerical Analysis,” McGraw-Hill, 1965, Sec. 3. 8.
Hamming, R. W., “Numerical Methods for Scientists and Engineers,” McGraw-Hill, 1962, Chap. 19.
Householder,Alston S., “Principles of Numerical Analysis,” McGraw-Hill, 1953, Sec. 6. 2.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1972 Physica-Verlag, Rudolf Liebing KG, Würzburg
About this paper
Cite this paper
Seiler, K. (1972). Marginal Utility in the Economization of Power Series. In: Henke, M., Jaeger, A., Wartmann, R., Zimmermann, HJ. (eds) DGU. Proceedings in Operations Research, vol 1971. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-99745-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-99745-7_37
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-0119-4
Online ISBN: 978-3-642-99745-7
eBook Packages: Springer Book Archive