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Zbl 1056.90130
Yabe, Hiroshi; Takano, Masahiro
Global convergence properties of nonlinear conjugate gradient methods with modified secant condition.
(English)
[J] Comput. Optim. Appl. 28, No. 2, 203-225 (2004). ISSN 0926-6003; ISSN 1573-2894/e

Summary: Conjugate gradient methods are appealing for large scale nonlinear optimization problems. Recently, expecting the fast convergence of the methods, Dai and Liao (2001) used secant condition of quasi-Newton methods. In this paper, we make use of modified secant condition given by Zhang et al. (1999) and Zhang and Xu (2001) and propose a new conjugate gradient method following to Dai and Liao (2001). It is new features that this method takes both available gradient and function value information and achieves a high-order accuracy in approximating the second-order curvature of the objective function. The method is shown to be globally convergent under some assumptions. Numerical results are reported.
MSC 2000:
*90C30 Nonlinear programming
90C52 Methods of reduced gradient type

Keywords: unconstrained optimization; conjugate gradient method; line search; global convergence; modified secant condition

Cited in: Zbl 1181.90221

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