Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares

DOI10.1007/s10957-013-0438-xzbMath1321.90126OpenAlexW2159860279MaRDI QIDQ467412

Narges Bidabadi, Nezam Mahdavi-Amiri

Publication date: 3 November 2014

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

Full work available at URL: https://doi.org/10.1007/s10957-013-0438-x

zbMATH Keywords

exact penalty methodsconstrained nonlinear least squaresprojected Hessian updatesprojected structured secant updates

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (4)

A regularization method for constrained nonlinear least squares ⋮ Using a spectral scaling structured BFGS method for constrained nonlinear least squares ⋮ Partitioned quasi-Newton methods for sparse nonlinear equations ⋮ Operations research and optimization (ORO)

Uses Software

• ve08

Cites Work

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