On q-BFGS algorithm for unconstrained optimization problems

On q-BFGS algorithm for unconstrained optimization problems

Abstract Variants of the Newton method are very popular for solving unconstrained optimization problems. The study on global convergence of the BFGS method has also made good progress. The q-gradient reduces to its classical version when q approaches 1. In this paper, we propose a quantum-Broyden–Fl...

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Bibliographic Details
Main Authors: Shashi Kant Mishra, Geetanjali Panda, Suvra Kanti Chakraborty, Mohammad Esmael Samei, Bhagwat Ram
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Advances in Difference Equations
Subjects:
Unconstrained optimization
BFGS method
q-calculus
Global convergence
Online Access:http://link.springer.com/article/10.1186/s13662-020-03100-2

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http://link.springer.com/article/10.1186/s13662-020-03100-2

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