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학술저널

TWO-SIDED BEST SIMULTANEOUS APPROXIMATION

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Let C1(X) be a normed linear space over Rm, and S be an n-dimensional subspace of C1(X) with spaned by fs1; ¢ ¢ ¢ ; sng. For each `¡ tuple vectors F in C1(X), the two-sided best simulta- neous approximation problem is min s2S ` max i=1 fjjfi ¡ sjj1g: A s 2 S attaining the above minimum is called a two-sided best si- multaneous approximation or a Chebyshev center for F = ff1; ¢ ¢ ¢ ; f`g from S. This paper is concerned with algorithm for calculating two- sided best simultaneous approximation, in the case of continuous functions.

1. Introduction

2. Two-sided best simultaneous approximation

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