A truncated nonmonotone Gauss-Newton method for large-scale nonlinear least-squares problems

DOI10.1007/s10589-006-6444-2zbMath1122.90094OpenAlexW2015307405MaRDI QIDQ853562

N. E. Zubov

Publication date: 17 November 2006

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2158/256050

zbMATH Keywords

large-scale problemsnonlinear least-squaresnonmonotone line search techniquestruncated Gauss-Newton method

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Iterative numerical methods for linear systems (65F10) Methods of successive quadratic programming type (90C55)

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Uses Software

• tn
• minpack

Cites Work

• Unnamed Item
• Unnamed Item
• Use of the minimum norm search direction in a nonmonotone version of the Gauss-Newton method
• A truncated Newton method with non-monotone line search for unconstrained optimization
• A survey of truncated-Newton methods
• Truncated-Newton algorithms for large-scale unconstrained optimization
• Testing Unconstrained Optimization Software
• Inexact Newton Methods
• Algorithms for the Solution of the Nonlinear Least-Squares Problem
• Numerical Optimization
• Convergence Properties of the Inexact Levenberg-Marquardt Method under Local Error Bound Conditions