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      Parallel preconditioners for solutions of dense linear systems with tens of millions of unknowns 

      Malas, Tahir; Ergül, Özgür; Gürel, Levent (2007-11)
      We propose novel parallel preconditioning schemes for the iterative solution of integral equation methods. In particular, we try to improve convergence rate of the ill-conditioned linear systems formulated by the electric-field ...
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      Preconditioning iterative MLFMA solutions of integral equations 

      Gürel, Levent; Malas, Tahir; Ergül, Özgür (IEEE, 2010)
      The multilevel fast multipole algorithm (MLFMA) is a powerful method that enables iterative solutions of electromagnetics problems with low complexity. Iterative solvers, however, are not robust for three-dimensional complex ...
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      Computational analysis of complicated metamaterial structures using MLFMA and nested preconditioners 

      Ergül, Özgür; Malas, Tahir; Yavuz, Ç; Ünal, Alper; Gürel, Levent (IEEE, 2007-11)
      We consider accurate solution of scattering problems involving complicated metamaterial (MM) structures consisting of thin wires and split-ring resonators. The scattering problems are formulated by the electric-field ...
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      Effective preconditioners for large integral-equation problems 

      Malas, Tahir; Ergül, Özgür; Gürel, Levent (IET, 2007-11)
      We consider effective preconditioning schemes for the iterative solution of integral-equation methods. For parallel implementations, the sparse approximate inverse or the iterative solution of the near-field system enables ...

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      Author
      Ergül, Özgür (4)
      Gürel, Levent (4)
      Malas, Tahir (4)
      Yavuz, Ç (1)Ünal, Alper (1)Keywords
      Integral equations (4)
      Iterative solutions (4)
      Preconditioners (4)
      Multilevel fast multipole algorithms (3)Antennas (2)Approximation algorithms (2)Boundary element method (2)Electromagnetic wave scattering (2)Electromagnetism (2)Iterative solvers (2)... View MoreDate Issued2007 (3)2010 (1)TypeConference Paper (4)Has File(s)
      Yes (4)

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