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Large-Scale Quasi-Newton Trust-Region Methods: High-Accuracy Solvers, Dense Initializations, and Extensions
Abstract
This dissertation describes optimization methods and matrix factorizations for large-scale quasi-Newton trust-region methods. The proposed methods are applicable to convex and non-convex optimization problems, and are described in algorithms for software implementations.
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