An Algorithm for a Restricted Discrete Approximation Problem in the $L_1 $ Norm

Discrete approximation problems in the $L_1 $ norm arise in fitting by polynomials, linear regression, and goal programming. This paper presents an algorithm to solve discrete approximations in the $L_1 $ norm when the parameters are restricted by linear constraints. The algorithm is a special purpo...

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Veröffentlicht in:	SIAM journal on numerical analysis 1977-06, Vol.14 (3), p.555-565
Hauptverfasser:	Armstrong, Ronald D., Hultz, John W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Linear algebra Linear programming Mathematical programming
Online-Zugang:	Volltext
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