×

CGOPT

swMATH ID: 10952
Software Authors: Kou, Caixia
Description: An improved nonlinear conjugate gradient method with an optimal property. Conjugate gradient methods have played a special role in solving large scale nonlinear problems. Recently, the author and Dai proposed an efficient nonlinear conjugate gradient method called CGOPT, through seeking the conjugate gradient direction closest to the direction of the scaled memoryless BFGS method. In this paper, we make use of two types of modified secant equations to improve CGOPT method. Under some assumptions, the improved methods are showed to be globally convergent. Numerical results are also reported
Homepage: http://link.springer.com/article/10.1007%2Fs11425-013-4682-1
Keywords: nonlinear conjugate gradient; CGOPT; unconstrained optimization; global convergence; modified secant equation
Related Software: SCALCG; ve08; ACGSSV; CUTEr; SifDec
Cited in: 9 Publications

Citations by Year