A projected semismooth Newton method for problems of calibrating least squares covariance matrix

A projected semismooth Newton method for problems of calibrating least squares covariance matrix

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Article ID: iaor20133240
Volume: 39
Issue: 2
Start Page Number: 103
End Page Number: 108
Publication Date: Mar 2011
Journal: Operations Research Letters
Authors: ,
Keywords: Newton method, least squares, global convergence
Abstract:

In this paper we propose a projected semismooth Newton method to solve the problem of calibrating least squares covariance matrix with equality and inequality constraints. The method is globally and quadratically convergent with proper assumptions. The numerical results show that the proposed method is efficient and comparable with existing methods.

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