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A combined algorithm for identification and approximation

A combined algorithm for identification and approximation The optimum point of an unknown function which is measured with noise and the unknown parameters in the measurement noise are estimated by a combined algorithm. The almost sure convergence and the convergence rate are established for both unconstrained and constrained problems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

A combined algorithm for identification and approximation

Acta Mathematicae Applicatae Sinica , Volume 3 (4) – Jul 13, 2005

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Publisher
Springer Journals
Copyright
Copyright © 1987 by Science Press, Beijing, China and Allerton Press, Inc. New York, U.S.A.
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02008375
Publisher site
See Article on Publisher Site

Abstract

The optimum point of an unknown function which is measured with noise and the unknown parameters in the measurement noise are estimated by a combined algorithm. The almost sure convergence and the convergence rate are established for both unconstrained and constrained problems.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Jul 13, 2005

References