Variable metric bundle methods: From conceptual to implementable forms

Variable metric bundle methods: From conceptual to implementable forms

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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: ,
Keywords: Newton method
Abstract:

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.

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