A hybrid scaling parameter for the scaled memoryless BFGS method based on the ℓ∞ matrix norm
Author:
Affiliation:
1. Department of Mathematics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran
Funder
Research Council of Semnan University
Publisher
Informa UK Limited
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207160.2018.1465940
Reference17 articles.
1. Accelerated scaled memoryless BFGS preconditioned conjugate gradient algorithm for unconstrained optimization
2. A Quadratic Hybridization of Polak–Ribière–Polyak and Fletcher–Reeves Conjugate Gradient Methods
3. A modified scaled memoryless BFGS preconditioned conjugate gradient method for unconstrained optimization
4. On Optimality of the Parameters of Self-Scaling Memoryless Quasi-Newton Updating Formulae
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