Vector Approximation

  • Johannes Jahn

Abstract

Vector approximation problems are abstract approximation problems where a vectorial norm is used instead of a usual (real-valued) norm. Many important results known from approximation theory can be extended to this vector-valued case. After a short introduction we examine the relationship between vector approximation and simultaneous approximation, and we present the so-called generalized Kolmogorov condition. Moreover, we consider nonlinear and linear Chebyshev vector approximation problems and we formulate a generalized alternation theorem for these problems.

Keywords

Inverse Image Minimal Element Minimal Solution Simultaneous Approximation Vector Optimization Problem 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Johannes Jahn
    • 1
  1. 1.Naturwissenschaftliche Fakultät I Institut für Angewandte MathematikUniversität Erlangen-NürnbergErlangenGermany

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