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Abstract
A class of algorithms for unconstrained optimization is introduced, which subsumes the classical trust-region algorithm and two of its newer variants, as well as the cubic and quadratic regularization methods. A unified theory of global convergence to first-order critical points is then described for this class. © 2013 Copyright Taylor and Francis Group, LLC.
| Original language | English |
|---|---|
| Pages (from-to) | 82-95 |
| Number of pages | 14 |
| Journal | Optimization Methods and Software |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Feb 2013 |
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