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On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization

C. Cartis

Publication Data

Title On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization
Author C. Cartis
Contributors Nicholas I. M. Gould, Ph. L. Toint, Science and Technology Facilities Council, Rutherford Appleton Laboratory
Publisher Science and Technology Facilities Council
Publication date 2012
Publication location Didcot
Language English

Descriptive Notes

Title from PDF title page (viewed on Oct. 23, 2012).
"April 2012."

Topics

Equations, Cubic
Least squares
Nonlinear theories
Mathematical optimization

Catalogue Data

OBNB ID GBB332596
ISBN 10 n/a
ISBN 13 n/a
Type BibliographicResource, Book
Dewey Classification 512.942

ISBD

P1053 1 online resource (20 p.)
P1042 Includes bibliographical references (p. 18-20).

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On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization by C. Cartis. Published by Science and Technology Facilities Council in 2012. Publication and catalogue information, links to buy online and reader comments.