Local convergence analysis for partitioned quasi-Newton updates

Springer Science and Business Media LLC - Tập 39 - Trang 429-448 - 1982
A. Griewank1,2, Ph. L. Toint1,2
1Department of Southern Mathematics Methodist University, Dallas, USA
2Department of Mathematics, Facultes Universitaires de Namur, Namur, Belgium

Tóm tắt

This paper considers local convergence properties of inexact partitioned quasi-Newton algorithms for the solution of certain non-linear equations and, in particular, the optimization of partially separable objective functions. Using the bounded deterioration principle, one obtains local and linear convergence, which impliesQ-superlinear convergence under the usual conditions on the quasi-Newton updates. For the optimization case, these conditions are shown to be satisfied by any sequence of updates within the convex Broyden class, even if some Hessians are singular at the minimizer. Finally, local andQ-superlinear convergence is established for an inexact partitioned variable metric method under mild assumptions on the initial Hessian approximations.

Tài liệu tham khảo

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