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On the method of minimum (or "best") approximation and the method of least nth powers

Published: 01 January 1956 Publication History

Abstract

There has been a renewed interest of late in the problem of approximation in the Tchebycheff sense, that is of minimizing the maximum residues. Several methods 1, 2, 3, have already been discussed and many examples of approximating functions of one variable by polynomials and rational functions, etc. have been published. On the other hand the important problem of solving an overdetermined system of linear equations in the Tchebycheff sense has not been given the attention it deserves. The possession of a practical method for the solution of this problem would make possible “best” approximations of functions of several variables by linear combinations of arbitrary functions.
It is not widely known that an algorithm for solving this problem exists and is due to de la Vallee Poussin.4 Unfortunately the algorithm is unwieldy but it is still useful in the computation of a minimum approximation. We shall therefore outline the results of de la Vallee Poussin before discussing some new methods with which we have been experimenting.

References

[1]
Hastings Cecil, Jr. "Approximations for Digital Computers" Princeton University Press 1955.
[2]
Selfridge, R. G. "Approximations With Least Maximum Error", Pacific Journal of Mathematics, Vol. 3, No. 1, March 1953, pp 247-255.
[3]
Carlson, Bengt and Goldstein, Max. "Rational Approximations of Functions" U.S. Atomic Energy Commission, Los Alamos Scientific Lab. August 1955
[4]
Poussin, Ch. J. de la Vallee "Sur la Methode de I'approximation Minimum", Societe Scientifiaue de Bruxelles, Annales, Seconde Partie, Memires, Vol. 35 1911, pp 1-16. The above paper has been translated with a commentary by H. E. Salzer. Copies may be obtained by writing him.

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cover image ACM Conferences
ACM '56: Proceedings of the 1956 11th ACM national meeting
January 1956
178 pages
ISBN:9781450379229
DOI:10.1145/800258
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1956

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