We design a novel preconditioned alternating direction method for solving a class of bilinear programming problems, where each subproblem is solved by adding a positive-definite regularization term with a proximal parameter. By the aid of the variational inequality, the global convergence of the proposed method is analyzed and a worst-case convergence rate in an ergodic sense is established. Several preliminary numerical examples, including the Markowitz portfolio optimization problem, are also tested to verify the performance of the proposed method.
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Objective Outpatient parenteral antimicrobial therapy (OPAT) provides opportunities for improved cost savings, but in the UK, implementation...
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Abstract Purpose Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated informatio...
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Universal newborn hearing screening (UNHS) has become the standard of care in many countries. The aim of this study was to evaluate the resu...
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Geographic region: Does it matter in cutaneous melanoma of the head and neck? Laryngoscope. 2017 Jun 05;: Authors: Kılıç S, Unsal AA,...
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Abstract The head-mounted display (HMD) has the potential to improve the quality of ultrasound-guided procedures. The aim of this non-clin...
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