An algorithm for solving nonlinear least-squares problems with a new curvilinear search

DOI10.1007/BF02247967zbMath0696.65068MaRDI QIDQ911233

Rita Filomena Santos, José Mario Martínez

Publication date: 1990

Published in: Computing (Search for Journal in Brave)

zbMATH Keywords

global convergenceGauss-Newton methodcurvilinear searchnonlinear least squares problemtrust-region strategy

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Related Items (3)

Using negative curvature in solving nonlinear programs ⋮ A parallel projection method for overdetermined nonlinear systems of equations ⋮ Advances in trust region algorithms for constrained optimization

Uses Software

• minpack

Cites Work

• An algorithm for solving sparse nonlinear least squares problems
• Testing Unconstrained Optimization Software
• Unnamed Item

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