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    MP
    2011
    244views Intelligent Agents» more  MP 2011»
    Fixed point and Bregman iterative methods for matrix rank minimization
    12 years 9 months ago
    Fixed point and Bregman iterative methods for matrix rank minimization
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    Shiqian Ma, Donald Goldfarb, Lifeng Chen
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    MP
    2011
    190views Intelligent Agents» more  MP 2011»
    Implicit solution function of P0 and Z matrix linear complementarity constraints
    12 years 9 months ago
    Implicit solution function of P0 and Z matrix linear complementarity constraints
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    Abstract. Using the least element solution of the P0 and Z matrix linear complementarity problem (LCP), we define an implicit solution function for linear complementarity constrai...
    Xiaojun Chen, Shuhuang Xiang
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    MP
    2011
    250views Intelligent Agents» more  MP 2011»
    An interior-point piecewise linear penalty method for nonlinear programming
    12 years 9 months ago
    An interior-point piecewise linear penalty method for nonlinear programming
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    We present an interior-point penalty method for nonlinear programming (NLP), where the merit function consists of a piecewise linear penalty function (PLPF) and an 2-penalty functi...
    Lifeng Chen, Donald Goldfarb
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    MP
    2011
    185views Intelligent Agents» more  MP 2011»
    Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results
    12 years 9 months ago
    Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results
    Download  ftp.numerical.rl.ac.uk
    Coralia Cartis, Nicholas I. M. Gould, Philippe L. ...
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    MP
    2011
    218views Intelligent Agents» more  MP 2011»
    Strong KKT conditions and weak sharp solutions in convex-composite optimization
    12 years 9 months ago
    Strong KKT conditions and weak sharp solutions in convex-composite optimization
    Download  www.math.cuhk.edu.hk
    Using variational analysis techniques, we study convex-composite optimization problems. In connection with such a problem, we introduce several new notions as variances of the clas...
    Xi Yin Zheng, Kung Fu Ng
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    MP
    2011
    206views Intelligent Agents» more  MP 2011»
    Smoothed analysis of condition numbers and complexity implications for linear programming
    13 years 1 months ago
    Smoothed analysis of condition numbers and complexity implications for linear programming
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    We perform a smoothed analysis of Renegar’s condition number for linear programming by analyzing the distribution of the distance to ill-posedness of a linear program subject to...
    John Dunagan, Daniel A. Spielman, Shang-Hua Teng
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    MP
    2011
    186views Intelligent Agents» more  MP 2011»
    A warm-start approach for large-scale stochastic linear programs
    13 years 1 months ago
    A warm-start approach for large-scale stochastic linear programs
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    Marco Colombo, Jacek Gondzio, Andreas Grothey
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    MP
    2011
    234views Intelligent Agents» more  MP 2011»
    Statistical ranking and combinatorial Hodge theory
    13 years 1 months ago
    Statistical ranking and combinatorial Hodge theory
    Download  math.stanford.edu
    We propose a number of techniques for obtaining a global ranking from data that may be incomplete and imbalanced — characteristics that are almost universal to modern datasets co...
    Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
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    MP
    2011
    202views Intelligent Agents» more  MP 2011»
    A first-order interior-point method for linearly constrained smooth optimization
    13 years 1 months ago
    A first-order interior-point method for linearly constrained smooth optimization
    Download  www.optimization-online.org
    Abstract: We propose a first-order interior-point method for linearly constrained smooth optimization that unifies and extends first-order affine-scaling method and replicator d...
    Paul Tseng, Immanuel M. Bomze, Werner Schachinger
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    MP
    2011
    191views Intelligent Agents» more  MP 2011»
    Null space conditions and thresholds for rank minimization
    13 years 1 months ago
    Null space conditions and thresholds for rank minimization
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    Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
    Benjamin Recht, Weiyu Xu, Babak Hassibi
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