A double parameter self-scaling memoryless BFGS method for unconstrained optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-020-01157-z.pdf
Reference22 articles.
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2. Al-Baali M (1998b) Numerical experience with a class of self-scaling quasi-Newton algorithms. J Optim Theory Appl 96:533–553
3. Andrei N (2009) Accelerated conjugate gradient algorithm with finite difference Hessian/vector product approximation for unconstrained optimization. J Comput Appl Math 230:570–582
4. Andrei N (2017) Eigenvalues versus singular values study in conjugate gradient algorithms for large-scale unconstrained optimization. Optim Methods Softw 32:534–551
5. Andrei N (2018a) An adaptive scaled BFGS method for unconstrained optimization. Numer Algorithms 77(2):413–432
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