A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization

A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization

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The quasi-Newton is a well-known method for solving small to medium-scale unconstrained optimization problems due to its simplicity and convergence. This leads to many modifications to improve its performance, and one of them is by hybridizing it with another optimization method. In this study, the...

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Bibliographic Details
Main Authors: Aini, N. (Author), Jaini N.I (Author), Jamil N.M (Author), Jonovich A.A.A (Author), Jusoh @ Awang R. (Author), Kasim A.R.M (Author), Mamat, M. (Author), Rivaie, M. (Author), Sulaiman, I.M (Author), Zabidi S.F.A (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2019
Subjects:
Conjugate gradient method
Exact line searches
Globally convergent
Hybrid algorithms
Newton-Raphson method
Optimization
Optimization method
Quasi-Newton
Quasi-Newton methods
Unconstrained optimization
Unconstrained optimization problems
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