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    » On the Linear Quadratic Minimum-fuel Problem
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    MIC
    2003
    116views Control Systems» more  MIC 2003»
    On the Linear Quadratic Minimum-fuel Problem
    13 years 5 months ago
    On the Linear Quadratic Minimum-fuel Problem
    Download  www.wseas.us
    E.I.Verriest and F.L.Lewis have presented in [1] a new method to approach the minimum-time control of linear continous-time systems avoiding the Bang-Bang control. Their method re...
    H. Benazza, N. El Alami
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    INFORMS
    2010
    147views more  INFORMS 2010»
    Exact Algorithms for the Quadratic Linear Ordering Problem
    13 years 1 months ago
    Exact Algorithms for the Quadratic Linear Ordering Problem
    Download  www.optimization-online.org
    The quadratic linear ordering problem naturally generalizes various optimization problems, such as bipartite crossing minimization or the betweenness problem, which includes linear...
    Christoph Buchheim, Angelika Wiegele, Lanbo Zheng
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    ICAL
    2011
    301views more  ICAL 2011»
    On the LVI-based numerical method (E47 algorithm) for solving quadratic programming problems
    12 years 4 months ago
    On the LVI-based numerical method (E47 algorithm) for solving quadratic programming problems
    Download  sist.sysu.edu.cn
    — In this paper, a numerical method (termed, E47 algorithm) based on linear variational inequalities (LVI) is presented and investigated to solve quadratic programming (QP) probl...
    Yunong Zhang, Senbo Fu, Zhijun Zhang, Lin Xiao, Xu...
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    ICIP
    2007
    IEEE
    158views Image Processing» more  ICIP 2007»
    Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
    14 years 6 months ago
    Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
    Download  www.lx.it.pt
    Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
    José M. Bioucas-Dias, Mário A. T. Fi...
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    KDD
    2007
    ACM
    197views Data Mining» more  KDD 2007»
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    14 years 5 months ago
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    Download  www.public.asu.edu
    The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
    Jieping Ye, Shuiwang Ji, Jianhui Chen
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