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    题名 作者 年代 出处 被引量
1A slacks-based measure of efficiency in data envelopment analysis显示文摘Kaoru Tone 2001European Journal of Operational Research2001,,3:10
2Supply Chain Coordination with Contracts显示文摘Gérard P. Cachon 2003Handbooks in Operations Research and Management Science2003,,:9
3Theory of Compressive Sensing via l1-Minimization:a Non-RIP Analysis and Extensions显示文摘Compressive sensing(CS)is an emerging methodology in computational signal processing that has recently attracted intensive research activities.At present,the basic CS theory includes recoverability and stability:the former quantifies the central fact that a sparse signal of length n can be exactly recovered from far fewer than n measurements via l1-minimization or other recovery techniques,while the latter specifies the stability of a recovery technique in the presence of measurement errors and inexact sparsity.So far,most analyses in CS rely heavily on the Restricted Isometry Property(RIP)for matrices.In this paper,we present an alternative,non-RIP analysis for CS via l1-minimization.Our purpose is three-fold:(a)to introduce an elementary and RIP-free treatment of the basic CS theory;(b)to extend the current recoverability and stability results so that prior knowledge can be utilized to enhance recovery via l1-minimization;and(c)to substantiate a property called uniform recoverability of l1-minimization;that is,for almost all random measurement matrices recoverability is asymptotically identical.With the aid of two classic results,the non-RIP approach enables us to quickly derive from scratch all basic results for the extended theory.Yin Zhang 2013Journal of the Operations Research Society of China2013,1,1:9
4The Google file system显示文摘Sanjay Ghemawat Howard Gobioff Shun-Tak Leung 2003ACM SIGOPS Operating Systems Review2003,,5:7
5Xen and the art of virtualization显示文摘Paul Barham Boris Dragovic Keir Fraser Steven Hand Tim Harris Alex Ho Rolf Neugebauer Ian Pratt Andrew Warfield 2003ACM SIGOPS Operating Systems Review2003,,5:6
6Financing newsvendor inventory显示文摘Maqbool Dada Qiaohai Hu 2008Operations Research Letters2008,,5:6
7Strategic commitment to price to stimulate downstream innovation in a supply chain显示文摘Stephen M Gilbert Viswanath Cvsa 2002European Journal of Operational Research2002,,3:5
8Efficiency of financial institutions: International survey and directions for future research显示文摘Allen N. Berger David B. Humphrey 1997European Journal of Operational Research1997,,2:5
9Multiobjective cuckoo search for design optimization显示文摘Xin-She Yang Suash Deb 2011Computers and Operations Research2011,,:5
10A slacks-based measure of super-efficiency in data envelopment analysis显示文摘Kaoru Tone 2002European Journal of Operational Research2002,,1:5
11Channel Conflict and Coordination in the E‐Commerce Age显示文摘Andy A.Tsay NarendraAgrawal 2009Production and Operations Management2009,,1:5
12The impact of supply chain integration on performance: A contingency and configuration approach显示文摘Barbara B. Flynn Baofeng Huo Xiande Zhao 2009Journal of Operations Management2009,,1:5
13Alternating Direction Method of Multipliers for Sparse Principal Component Analysis显示文摘We consider a convex relaxation of sparse principal component analysisproposed by d' Aspremont et al. (SIAM Rev. 49:434 448, 2007). This convex relax-ation is a nonsmooth semidefinite programming problem in which the ξ1 norm of thedesired matrix is imposed in either the objective function or the constraint to improvethe sparsity of the resulting matrix. The sparse principal component is obtained by arank- one decomposition of the resulting sparse matrix. We propose an alternating di-rection method based on a variable-splitting technique and an augmented I agrangianframework for solving this nonsmooth semidefinite programming problem. In con-trast to the first-order method proposed in d' Aspremont et al. (SIAM Rev. 49:434448, 2007), which solves approximately the dual problem of the original semidefiniteprogramming problem, our method deals with the primal problem directly and solvesit exactly, which guarantees that the resulting matrix is a sparse matrix. A globalconvergence result is established for the proposed method. Numerical results on bothsynthetic problems and the real applications from classification of text data and senatevoting data are reported to demonstrate the efficacy of our method.Shiqian Ma 2013Journal of the Operations Research Society of China2013,1,2:5
14Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities显示文摘Zuo‐Jun MaxShen XuanmingSu 2009Production and Operations Management2009,,6:4
15Coordination and Flexibility in Supply Contracts with Options显示文摘Dawn Barnes-Schuster Yehuda Bassok Ravi Anupindi 2002Manufacturing & Service Operations Management2002,,3:4
16First-Order Algorithms for Convex Optimization with Nonseparable Objective and Coupled Constraints显示文摘In this paper,we consider a block-structured convex optimization model,where in the objective the block variables are nonseparable and they are further linearly coupled in the constraint.For the 2-block case,we propose a number of first-order algorithms to solve this model.First,the alternating direction method of multipliers(ADMM)is extended,assuming that it is easy to optimize the augmented Lagrangian function with one block of variables at each time while fixing the other block.We prove that O(1/t)iteration complexity bound holds under suitable conditions,where t is the number of iterations.If the subroutines of the ADMM cannot be implemented,then we propose new alternative algorithms to be called alternating proximal gradient method of multipliers,alternating gradient projection method of multipliers,and the hybrids thereof.Under suitable conditions,the O(1/t)iteration complexity bound is shown to hold for all the newly proposed algorithms.Finally,we extend the analysis for the ADMM to the general multi-block case.Xiang Gao Shu-Zhong Zhang 2017Journal of the Operations Research Society of China2017,5,2:4
17Pricing Decisions in Dual-Channel Closed-Loop Supply Chain Under Retailer’s Risk Aversion and Fairness Concerns显示文摘This paper studies the price decisions in a dual-channel closed-loop supply chain with a risk-averse retailer and a risk-neutral manufacturer by modeling and analyzing three cases:(1)the retailer does not have fairness concerns;(2)the retailer has fairness concerns and the manufacturer considers it;and(3)the retailer has fairness concerns and the manufacturer does not consider it.The effects of risk aversion and fairness concerns on the pricing decisions,profits and demand are examined in differing scenarios.Chun-Fa Li Xue-Qing Guo Dong-Lei Du 2021Journal of the Operations Research Society of China2021,9,3:4
18Selling to the Newsvendor: An Analysis of Price-Only Contracts显示文摘Martin A. Lariviere Evan L. Porteus 2001Manufacturing & Service Operations Management2001,,4:4
19Coordinating an innovation in supply chain management显示文摘Bowon Kim 2000European Journal of Operational Research2000,,3:4
20Network DEA: A slacks-based measure approach显示文摘Kaoru Tone Miki Tsutsui 2008European Journal of Operational Research2008,,1:4
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