A Superlinearly Convergent Penalty Method with Nonsmooth Line Search for Constrained Nonlinear Least Squares

A Superlinearly Convergent Penalty Method with Nonsmooth Line Search for Constrained Nonlinear Least Squares

Recently, we have presented a projected structured algorithm for solving constrained nonlinear least squares problems, and established its local two-step Q-superlinear convergence. The approach is based on an adaptive structured scheme due to Mahdavi-Amiri and Bartels of the exact penalty method. Th...

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Bibliographic Details
Main Authors: Nezam Mahdavi-Amiri, Mohammad Reza Ansari
Format: Article
Language:English
Published: Sultan Qaboos University 2012-04-01
Series:Sultan Qaboos University Journal for Science
Subjects:
Constrained nonlinear programming, Exact penalty method, Nonlinear least squares. Nonsmooth line search, Projected structured Hessian update.
Online Access:https://journals.squ.edu.om/index.php/squjs/article/view/390

Internet

https://journals.squ.edu.om/index.php/squjs/article/view/390

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