A new conjugate gradient method for unconstrained optimization
Huang Haidong
Abstract
Huang Haidong
Abstract
A new conjugate gradient(CG) method is established to solve unconstrained optimization problems.And its global convergence property is proved under some suitable conditions.Preliminary numerical result shows that the new CG method 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.
A new conjugate gradient(CG) method is established to solve unconstrained optimization problems.And its global convergence property is proved under some suitable conditions.Preliminary numerical result shows that the new CG method is efficient.
Key concepts: Conjugate gradient method, Nonlinear conjugate gradient method, Derivation of the conjugate gradient method, Conjugate residual method, Convergence (economics), Gradient method, Conjugate, Mathematical optimization