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@INPROCEEDINGS{DiNapoli:153315,
      author       = {Di Napoli, Edoardo and Berljafa, Mario},
      title        = {{A}n {O}ptimized and {S}calable {I}terative {E}igensolver
                      for {S}equences of {D}ense {E}igenvalue {P}roblems},
      reportid     = {FZJ-2014-02956},
      year         = {2014},
      abstract     = {Sequences of eigenvalue problems consistently appear in a
                      large class of applications based on the iterative solution
                      of a non-linear eigenvalue problem. A typical example is
                      given by the chemistry and materials science ab initio
                      simulations relying on computational methods developed
                      within the framework of Density Functional Theory (DFT). DFT
                      provides the means to solve a high-dimensional quantum
                      mechanical problem by representing it as a non-linear
                      generalized eigenvalue problem which is solved
                      self-consistently through a series of successive
                      outer-iteration cycles. As a consequence each
                      self-consistent simulation is made of several sequences of
                      generalized eigenproblems P : Ax =},
      month         = {Apr},
      date          = {2014-04-06},
      organization  = {13th Copper Mountain Conference on
                       Iterative Methods, Copper Mountain
                       (United States), 6 Apr 2014 - 11 Apr
                       2014},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / Simulation and Data Laboratory Quantum
                      Materials (SDLQM) (SDLQM)},
      pid          = {G:(DE-HGF)POF2-411 / G:(DE-Juel1)SDLQM},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/153315},
}