A Survey of Methods of Computing Minimax and Near-Minimax Polynomial Approximations for Functions of a Single Independent Variable

Author:

Fraser W.1

Affiliation:

1. Institute of Computer Science, University of Toronto, Canada

Abstract

Methods are described for the derivation of minimax and near-minimax polynomial approximations. For minimax approximations techniques are considered for both analytically defined functions and functions defined by a table of values. For near-minimax approximations methods of determining the coefficients of the Fourier-Chebyshev expansion are first described. These consist of the rearrangement of the coefficients of a power polynomial, and also direct determination of the coefficients from the integral which defines them, or the differential equation which defines the function. Finally there is given a convenient modification of an interpolation scheme which finds coefficients of a near-minimax approximation without requiring numerical integration or the numerical solution of a system of equations.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Reference24 articles.

1. CHENY E.W. Approximation theory. Dept. of Mathematics U. of California 1963. (Mimeo) CHENY E.W. Approximation theory. Dept. of Mathematics U. of California 1963. (Mimeo)

2. A note on the summation of Chebyshev series;CLNSHAW C.W;MTAC,1955

3. numerical solution of linear differential equations in Chebyshev series;Proc. Camb. Phil. Soc.,1957

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