Updating quasi-Newton matrices with limited storage

Mathematics of Computation - Tập 35 Số 151 - Trang 773-782
Jorge Nocedal1
1Industrial Engineering and Management Sciences

Tóm tắt

We study how to use the BFGS quasi-Newton matrices to precondition minimization methods for problems where the storage is critical. We give an update formula which generates matrices using information from the last m iterations, where m is any number supplied by the user. The quasi-Newton matrix is updated at every iteration by dropping the oldest information and replacing it by the newest information. It is shown that the matrices generated have some desirable properties. The resulting algorithms are tested numerically and compared with several well-known methods.

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Tài liệu tham khảo

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