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• The second option is to use Krylov subspace method with different preconditionerfloat version of the sparse direct solver.

  Code Block
  EigenSolver: { NumEigenvalues: 1 FrequencyShift: 10.e9 Preconditioner: MPMUMPSFLOAT //use the float version. memory //thisusage usereduced p-version of multilevel preconditionerinto half. }

• The code will choose either CG (real matrices) or GMRES (complex matrices) and the p-version
  of multilevel precondtioner as the solver for shifted linear systems.The third option is to use out-of-core sparse direct solver. third option is to use Krylov subspace method with different preconditioner.

  Code Block
  Code Block
  EigenSolver: { NumEigenvalues: 1 FrequencyShift: 10.e9 MemoryPreconditioner: 1000MP //if the memory usage of//this theuse matrixp-version factorof inmultilevel anypreconditioner. process }

  The code will choose either CG (real matrices) or GMRES (complex matrices) and the p-version
  of multilevel precondtioner as the solver for shifted linear systems.

• The fourth option is to use out-of-core sparse direct solver (an experimental feature).

  Code Block
  EigenSolver: { is larger than 1000MBytes, NumEigenvalues: 1 FrequencyShift: //switch to use out-of-core solver. }

  The fourth option is to use float version of the sparse direct solver.

  Code Block
  EigenSolver: { NumEigenvalues: 1 10.e9 Memory: 1000 //if the memory usage of the matrix factor in any process is larger than 1000MBytes, FrequencyShift: 10.e9 Preconditioner: MUMPSFLOAT //use the float version. memory//switch usageto reduced into halfuse out-of-core solver. }