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A quadratic-tensor model algorithm for nonlinear least-squares problems with linear constraintsA new algorithm for solving nonlinear least-squares and nonlinear equation problems is proposed which is based on approximating the nonlinear functions using the quadratic-tensor model by Schnabel and Frank. The algorithm uses a trust region defined by a box containing the current values of the unknowns. The algorithm is found to be effective for problems with linear constraints and dense Jacobian matrices.
Document ID
19930060929
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Hanson, R. J.
(IMSL, Inc. Sugar Land, TX, United States)
Krogh, Fred T.
(JPL Pasadena, CA, United States)
Date Acquired
August 16, 2013
Publication Date
June 1, 1992
Publication Information
Publication: ACM Transactions on Mathematical Software
Volume: 18
Issue: 2
ISSN: 0098-3500
Subject Category
Computer Programming And Software
Accession Number
93A44926
Distribution Limits
Public
Copyright
Other

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