2000Numerical Functional Analysis and OptimizationRequires access

Best approximation of finite sets in normed linear spaces

Sayel A. Ali, Radwan Al-Jarrah

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Abstract

In a Hilbert space, or in general, in a uniformly convex Banach space E, if K is a closed convex subset of E and a ∊ E, then there is a unique point x 0 ∊ K, called the best approximation of a in K, such that . In this paper, we consider the more general problem when a is replaced by a finite subset A = {a 1 a 2,…an } of a normed linear space E.

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In a Hilbert space, or in general, in a uniformly convex Banach space E, if K is a closed convex subset of E and a ∊ E, then there is a unique point x 0 ∊ K, called the best approximation of a in K, such that . In this paper, we consider the more general problem when a is replaced by a finite subset A = {a 1 a 2,…an } of a normed linear space E.

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Available abstract

In a Hilbert space, or in general, in a uniformly convex Banach space E, if K is a closed convex subset of E and a ∊ E, then there is a unique point x 0 ∊ K, called the best approximation of a in K, such that . In this paper, we consider the more general problem when a is replaced by a finite subset A = {a 1 a 2,…an } of a normed linear space E.

Key concepts: Mathematics, Strictly convex space, Normed vector space, Banach space, Uniformly convex space, Hilbert space, Regular polygon, Reflexive space

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