Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization (Classic Reprint) PDF Download

Author: Jorge Nocedal
Publisher: Forgotten Books
ISBN: 9780267958962
Category : Mathematics
Languages : en
Pages : 76

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Book Description
Excerpt from Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization Hessian, a symmetric matrix of order n - m.which can be expected to be_3_ positive definite near a solution This idea was suggested by Murray and Wright (1978) and has also been discussed by several other authors. We present several variants of this algorithm and prove that under certain conditions they all have a local two-step O - superlinear convergence property. Finally, in Section 5 we present some numerical results which indicate that these methods may be very useful in practice. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.