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Least squares methods to minimize errors in a smooth, strictly convex norm on \({\mathbb{R}}^ m\)

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Publication:1801558
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DOI10.1006/jath.1993.1037zbMath0772.93085OpenAlexW2053463998MaRDI QIDQ1801558

V. P. Sreedharan, R. W. Owens

Publication date: 17 August 1993

Published in: Journal of Approximation Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jath.1993.1037


zbMATH Keywords

algorithmnumerical examplesleast squares solutions


Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24)


Related Items (2)

A least distance algorithm for a smooth strictly convex norm ⋮ The distance between two convex sets




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