On Efficiently Computing the Eigenvalues of Limited-Memory Quasi-Newton Matrices
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Analysis
Link
http://epubs.siam.org/doi/pdf/10.1137/140997737
Reference16 articles.
1. A practical method for solving large-scale TRS
2. Solving the quadratic trust-region subproblem in a low-memory BFGS framework
3. Rank-one modification of the symmetric eigenproblem
4. Representations of quasi-Newton matrices and their use in limited memory methods
5. Convergence of quasi-Newton matrices generated by the symmetric rank one update
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