A Nonmonotone Self-adaptive Trust Region Method and Its Convergence
Zhang Hua
Abstract
Zhang Hua
Abstract
In this paper, a self-adaptive trust region method with nonmonotone technique for unconstrained optimization problems was presented and analyzed. The global convergence properties of the nonmonotone self-adaptive trust region method were proved. Numerical results show that the newmethod is efficient.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper, a self-adaptive trust region method with nonmonotone technique for unconstrained optimization problems was presented and analyzed. The global convergence properties of the nonmonotone self-adaptive trust region method were proved. Numerical results show that the newmethod is efficient.
Key concepts: Trust region, Convergence (economics), Mathematical optimization, Computer science, Mathematics, Economics, RADIUS, Computer security