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Showing 1 to 3 of 3 for “"Proximal algorithms"”.

  1. Control Theoretic Methods In Analysis And Design Of Optimization Algorithms

    … to analyze and design iterative optimization algorithms. This new perspective provides many insights and new directions of research. In particular, we can study robustness to uncertainties, provide nonconservative performance guarantees, and envision principled algorithm design. In this …

    penn Repository record for Control Theoretic Methods In Analysis And Design Of Optimization Algorithms (opens in a new tab)

  2. Nash equilibrium problems in power markets and product design: Analysis and algorithms

    … namely the iterative Tikhonov and the iterative proximal algorithms. The algorithms are seen to scale well with the size of the problem. The model is employed for examining strategic behavior on a twelve node network and several economic insights are drawn. The third part of this thesis deals …

    uiuc Repository record for Nash equilibrium problems in power markets and product design: Analysis and algorithms (opens in a new tab)

  3. Functional Norm Regularization for Margin-Based Ranking on Temporal Data

    … was also proposed. Alternate minimization with proximal optimization algorithm was developed to solve the mentioned multi-task objective. Generalization potentials of the proposed high-dimensional and multi-task ranking formulations were assessed in series of evaluations on synthetically …

    temple Repository record for Functional Norm Regularization for Margin-Based Ranking on Temporal Data (opens in a new tab)