Article ID: | iaor1998924 |
Country: | Netherlands |
Volume: | 76 |
Issue: | 3 |
Start Page Number: | 393 |
End Page Number: | 410 |
Publication Date: | Mar 1997 |
Journal: | Mathematical Programming |
Authors: | Lemarchal Claude, Sagastizbal Claudia |
Keywords: | Newton method |
To minimize a convex function, we combine Moreau–Yosida regularizations, quasi-Newton matrices and bundling mechanisms. First we develop conceptual forms using ‘reversal’ quasi-Newton formulae and we state their global and local convergence. Then, to produce implementable versions, we incorporate a bundle strategy together with a ‘curve-search’. No convergence results are given for the implementable versions; however, some numerical illustrations show their good behaviour even for large-scale problems.