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6篇 您的检索式：作者名="GUAN LUTAI"

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		题名	作者	年代	出处	被引量
	1	A Globally Convergent Polak-Ribiere-Polyak Conjugate Gradient Method with Armijo-Type Line Search显示文摘In this paper, we propose a globally convergent Polak-Ribiere-Polyak (PRP) conjugate gradient method for nonconvex minimization of differentiable functions by employing an Armijo-type line search which is simpler and less demanding than those defined in [4,10]. A favorite property of this method is that we can choose the initial stepsize as the one-dimensional minimizer of a quadratic modelΦ(t):= f(xk)+tgkTdk+(1/2) t2dkTQkdk, where Qk is a positive definite matrix that carries some second order information of the objective function f. So, this line search may make the stepsize tk more easily accepted. Preliminary numerical results show that this method is efficient.	Gaohang Yu Lutai Guan Zengxin Wei	2006	Numerical Mathematics A Journal of Chinese Universities(English Series)2006，15，4：	11
	2	Surface design by natural splines over refined grid points显示文摘	GUAN Lutai LIU Bin	2004	Journal of Computational and Applied Mathematics2004，163，1：	1
	3	Bivariate polynomral natural spline interpolation algorithms with local basis for scattered data显示文摘	GUAN Lutai	2003	J Comp Anal and Appl2003，1，：	1
	4	Bivariate polynomial natural spline interpolation algorithms with local basis for scattered data显示文摘	Guan Lutai	2003	Journal of Computational and Applied Mathematics2003，1，：	1
	5	Surface design by natural splines over refined grid points显示文摘	Guan Lutai	2004	Journal of Computational and Applied Mathematics2004，163，1：	1
	6	A new nonmonotone line search scheme and its application for solving large-scale nonlinear systems of equations显示文摘	YU GAOHANG GUAN LUTAI	2007	Applied mathematics and computation2007，187，：	1

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