On the Derivation of Quasi-Newton Formulas for Optimization in Function Spaces
Author:
Affiliation:
1. Department of Applied Mathematics, University of California, Merced, Merced, California, USA
2. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, California, USA
Funder
U.S. National Science Foundation, Division of Mathematical Sciences, Computational Mathematics
Publisher
Informa UK Limited
Subject
Control and Optimization,Computer Science Applications,Signal Processing,Analysis
Link
https://www.tandfonline.com/doi/pdf/10.1080/01630563.2020.1785496
Reference36 articles.
1. Quasi-Newton Methods, Motivation and Theory
2. Duality in quasi-Newton methods and new variational characterizations of the DFP and BFGS updates
3. A family of variable metric methods in function space, without exact line searches
4. Broyden's method in Hilbert space
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