Now showing items 1-3 of 3

    • A new OMP technique for sparse recovery 

      Teke, Oğuzhan; Gürbüz, A.C.; Arıkan, Orhan (IEEE, 2012)
      Compressive Sensing (CS) theory details how a sparsely represented signal in a known basis can be reconstructed using less number of measurements. However in reality there is a mismatch between the assumed and the actual ...
    • A parametric simplex algorithm for linear vector optimization problems 

      Rudloff, B.; Ulus, F.; Vanderbei, R. (Springer, 2017)
      In this paper, a parametric simplex algorithm for solving linear vector optimization problems (LVOPs) is presented. This algorithm can be seen as a variant of the multi-objective simplex (the Evans–Steuer) algorithm (Math ...
    • Simulation optimization: a comprehensive review on theory and applications 

      Tekin, E.; Sabuncuoglu, I. (Taylor & Francis, 2004)
      For several decades, simulation has been used as a descriptive tool by the operations research community in the modeling and analysis of a wide variety of complex real systems. With recent developments in simulation ...