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	1. A Hybrid Spectral Conjugate Gradient Method with Self-adjusting Property
	Cui Dandan,Xue Wei,Yu Gaohang
	Mathematics 18 January 2012
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	Abstract: In this paper, we present a hybrid spectral conjugate gradient method with self-adjusting property which producesdescent search direction at every iteration. Its global convergence can be established with the standard Wolfe conditions. Numerical results indicate that the proposed method is efficient and promising.
	TO cite this article:Cui Dandan,Xue Wei,Yu Gaohang. A Hybrid Spectral Conjugate Gradient Method with Self-adjusting Property[OL].[18 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4463023


	2. Inexact Alternating Direction Based Contraction Methods for Separable Linearly Constrained Convex Programming
	Guoyong Gu,Bingsheng He, Junfeng Yang,Junfeng Yang
	Mathematics 27 January 2010
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	Abstract:Alternating direction method (ADM) has been well studied in the context of linearly constrained convex programming problems. In the last few years, we have witnessed a number of novel applications arising from image processing, compressive sensing and statistics, etc., where the ADM approach is surprisingly efficient. In common applications of the ADM, both the objective function and the constraints are separable into two parts. Recently, the ADM has been extended to the case where the number of separable parts is a finite number. However, in each iteration, the subproblems are required to be solved exactly. In this paper, by using some reasonable inexactness criteria, we propose two inexact alternating direction based contraction methods, which substantially broaden the applicable scope of the ADM.
	TO cite this article:Guoyong Gu,Bingsheng He, Junfeng Yang,Junfeng Yang. Inexact Alternating Direction Based Contraction Methods for Separable Linearly Constrained Convex Programming[OL].[27 January 2010] http://en.paper.edu.cn/en_releasepaper/content/39530


	3. A filter-sequential semidefinite programming method for nonlinear semidefinite programming
	Li Chengjin ,Sun Wenyu
	Mathematics 19 February 2008
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	Abstract:Combining the sequential semidefinite programming (SSP) method with filter technique, we present a filter-SSP method with a trust region-type globalization for solution of nonlinear semidefinite programming. The new method is shown to be globally convergent under certain assumptions.
	TO cite this article:Li Chengjin ,Sun Wenyu . A filter-sequential semidefinite programming method for nonlinear semidefinite programming[OL].[19 February 2008] http://en.paper.edu.cn/en_releasepaper/content/18713


	4. An unconstrained optimization method using nonmonotone second order Goldstein\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
	Wenyu Sun,Qunyan Zhou
	Mathematics 09 August 2007
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	Abstract:In this paper, an unconstrained optimization method using nonmonotone second order Goldstein\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
	TO cite this article:Wenyu Sun,Qunyan Zhou. An unconstrained optimization method using nonmonotone second order Goldstein\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\[J].

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