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  1. Christopher Hendrich. In this article we investigate the possibilities of accelerating the double smoothing technique when solving unconstrained nondifferentiable convex optimization problems.

  2. Christopher Hendrich Categories Convex Optimization Tags convergence statements , fenchel duality , image processing , splitting method In this paper we investigate the convergence behavior of a primal-dual splitting method for solving monotone inclusions involving mixtures of composite, Lipschitzian and parallel sum type operators proposed by ...

  3. Christopher Hendrich Department of Mathematics, Chemnitz University of Technology, D-09107 Chemnitz, Germany, e-mail: christopher.hendrich@mathematik.tu-chemnitz.de. Research supported by a Graduate Fellowship of the Free State Saxony, Germany.

  4. Radu Ioan Bo¸t ∗ Ern¨o Robert Csetnek † Christopher Hendrich ‡ December 17, 2018 Abstract. We propose an inertial Douglas-Rachford splitting algorithm for finding the set of zeros of the sum of two maximally monotone operators in Hilbert spaces and in-vestigate its convergence properties. To this end we formulate first the inertial ...

  5. Christopher Hendrich z. January 5, 2015. Abstract. We propose an inertial Douglas-Rachford splitting algorithm for nding the set of zeros of the sum of two maximally monotone operators in Hilbert spaces and in-vestigate its convergence properties.

  6. The inertial version of the Douglas-Rachford splitting method for monotone inclusion problems recently introduced in [12] is used, in the context of concomitantly solving a convex minimization problem and its Fenchel dual, to induce inertial effects into the classical ADMM numerical scheme. Expand.

  7. 3 de dic. de 2012 · A Douglas-Rachford type primal-dual method for solving inclusions with mixtures of composite and parallel-sum type monotone operators. Radu Ioan Bot, Christopher Hendrich. In this paper we propose two different primal-dual splitting algorithms for solving inclusions involving mixtures of composite and parallel-sum type monotone ...