C++ ParameterList::unused方法代码示例

本文整理汇总了C++中ParameterList::unused方法的典型用法代码示例。如果您正苦于以下问题：C++ ParameterList::unused方法的具体用法？C++ ParameterList::unused怎么用？C++ ParameterList::unused使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ParameterList的用法示例。

在下文中一共展示了ParameterList::unused方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: main


//.........这里部分代码省略.........
  MagnitudeType tol = tolCG * 10.0;
  // Create a sort manager to pass into the block Krylov-Schur solver manager
  // -->  Make sure the reference-counted pointer is of type Anasazi::SortManager<>
  // -->  The block Krylov-Schur solver manager uses Anasazi::BasicSort<> by default,
  //      so you can also pass in the parameter "Which", instead of a sort manager.
  RCP<Anasazi::SortManager<MagnitudeType> > MySort =     
    rcp( new Anasazi::BasicSort<MagnitudeType>( which ) );
  //
  // Create parameter list to pass into the solver manager
  ParameterList MyPL;
  MyPL.set( "Verbosity", verbosity );
  MyPL.set( "Sort Manager", MySort );
  //MyPL.set( "Which", which );
  MyPL.set( "Block Size", blockSize );
  MyPL.set( "Num Blocks", numBlocks );
  MyPL.set( "Maximum Restarts", maxRestarts );
  MyPL.set( "Step Size", stepSize );
  MyPL.set( "Convergence Tolerance", tol );
  MyPL.set( "In Situ Restarting", insitu );
  //
  // Create the solver manager
  Anasazi::BlockKrylovSchurSolMgr<ScalarType,MV,OP> MySolverMgr(problem, MyPL);
  // 
  // Check that the parameters were all consumed
  if (MyPL.getEntryPtr("Verbosity")->isUsed() == false ||
      MyPL.getEntryPtr("Block Size")->isUsed() == false ||
      MyPL.getEntryPtr("Num Blocks")->isUsed() == false ||
      MyPL.getEntryPtr("Maximum Restarts")->isUsed() == false ||
      MyPL.getEntryPtr("Step Size")->isUsed() == false ||
      MyPL.getEntryPtr("In Situ Restarting")->isUsed() == false ||
      MyPL.getEntryPtr("Convergence Tolerance")->isUsed() == false) {
    if (verbose && MyPID==0) {
      cout << "Failure! Unused parameters: " << endl;
      MyPL.unused(cout);
    }
  }


  // Solve the problem to the specified tolerances or length
  Anasazi::ReturnType returnCode = MySolverMgr.solve();
  testFailed = false;
  if (returnCode != Anasazi::Converged && shortrun==false) {
    testFailed = true;
  }

  // Get the eigenvalues and eigenvectors from the eigenproblem
  Anasazi::Eigensolution<ScalarType,MV> sol = problem->getSolution();
  std::vector<Anasazi::Value<ScalarType> > evals = sol.Evals;
  RCP<MV> evecs = sol.Evecs;
  int numev = sol.numVecs;

  if (numev > 0) {

    std::ostringstream os;
    os.setf(std::ios::scientific, std::ios::floatfield);
    os.precision(6);

    // Compute the direct residual
    std::vector<ScalarType> normV( numev );
    SerialDenseMatrix<int,ScalarType> T(numev,numev);
    for (int i=0; i<numev; i++) {
      T(i,i) = evals[i].realpart;
    }

    RCP<OP> KOp = rcp( new Anasazi::EpetraOp( K ));    
    RCP<OP> MOp = rcp( new Anasazi::EpetraOp( M ));

开发者ID:cakeisalie，项目名称:oomphlib_003，代码行数:67，代码来源:cxx_main_specialized.cpp

示例2: main


//.........这里部分代码省略.........
    if (verbose) {
      verbosity += Anasazi::FinalSummary + Anasazi::TimingDetails;
    }
    if (debug) {
      verbosity += Anasazi::Debug;
    }


    // Eigensolver parameters
    int maxIters = 450;
    MagnitudeType tol = 1.0e-6;
    //
    // Create parameter list to pass into the solver manager
    ParameterList MyPL;
    MyPL.set( "Verbosity", verbosity );
    MyPL.set( "Which", which );
    MyPL.set( "Block Size", blockSize );
    MyPL.set( "Maximum Iterations", maxIters );
    MyPL.set( "Convergence Tolerance", tol );
    MyPL.set( "Skinny Solver", skinny);
    //
    // Create the solver manager
    Anasazi::RTRSolMgr<ScalarType,MV,OP> MySolverMan(problem, MyPL);
    // 
    // Check that the parameters were all consumed
    if (MyPL.getEntryPtr("Verbosity")->isUsed() == false ||
        MyPL.getEntryPtr("Which")->isUsed() == false ||
        MyPL.getEntryPtr("Block Size")->isUsed() == false ||
        MyPL.getEntryPtr("Maximum Iterations")->isUsed() == false ||
        MyPL.getEntryPtr("Convergence Tolerance")->isUsed() == false ||
        MyPL.getEntryPtr("Skinny Solver")->isUsed() == false) {
      if (verbose && MyPID==0) {
        cout << "Failure! Unused parameters: " << endl;
        MyPL.unused(cout);
      }
    }


    // Solve the problem to the specified tolerances or length
    Anasazi::ReturnType returnCode = MySolverMan.solve();
    if (returnCode != Anasazi::Converged) {
      testFailed = true;
    }

    // Get the eigenvalues and eigenvectors from the eigenproblem
    Anasazi::Eigensolution<ScalarType,MV> sol = problem->getSolution();
    std::vector<Anasazi::Value<ScalarType> > evals = sol.Evals;
    RCP<MV> evecs = sol.Evecs;
    int numev = sol.numVecs;

    if (numev > 0) {

      std::ostringstream os;
      os.setf(std::ios::scientific, std::ios::floatfield);
      os.precision(6);

      // Compute the direct residual
      std::vector<ScalarType> normV( numev );
      SerialDenseMatrix<int,ScalarType> T(numev,numev);
      for (int i=0; i<numev; i++) {
        T(i,i) = evals[i].realpart;
      }
      RCP<MV> Mvecs = MVT::Clone( *evecs, numev ),
        Kvecs = MVT::Clone( *evecs, numev );
      OPT::Apply( *thyra_K, *evecs, *Kvecs );
      OPT::Apply( *thyra_M, *evecs, *Mvecs );

开发者ID:Tech-XCorp，项目名称:Trilinos，代码行数:67，代码来源:cxx_main.cpp

示例3: main


//.........这里部分代码省略.........
  }
  else {
    maxRestarts = 100;
  }
  MagnitudeType tol = 1.0e-6;
  //
  // Create parameter list to pass into the solver manager
  ParameterList MyPL;
  MyPL.set( "Verbosity", verbosity );
  MyPL.set( "Which", which );
  MyPL.set( "Block Size", blockSize );
  MyPL.set( "Num Blocks", numBlocks );
  MyPL.set( "Maximum Restarts", maxRestarts );
  MyPL.set( "Convergence Tolerance", tol );
  MyPL.set( "Use Locking", locking );
  MyPL.set( "Locking Tolerance", tol/10 );
  MyPL.set( "In Situ Restarting", insitu );
  //
  // Create the solver manager
  Anasazi::BlockDavidsonSolMgr<ScalarType,MV,OP> MySolverMan(problem, MyPL);
  // 
  // Check that the parameters were all consumed
  if (MyPL.getEntryPtr("Verbosity")->isUsed() == false ||
      MyPL.getEntryPtr("Which")->isUsed() == false ||
      MyPL.getEntryPtr("Block Size")->isUsed() == false ||
      MyPL.getEntryPtr("Num Blocks")->isUsed() == false ||
      MyPL.getEntryPtr("Maximum Restarts")->isUsed() == false ||
      MyPL.getEntryPtr("Convergence Tolerance")->isUsed() == false ||
      MyPL.getEntryPtr("Use Locking")->isUsed() == false ||
      MyPL.getEntryPtr("In Situ Restarting")->isUsed() == false ||
      MyPL.getEntryPtr("Locking Tolerance")->isUsed() == false) {
    if (verbose && MyPID==0) {
      cout << "Failure! Unused parameters: " << endl;
      MyPL.unused(cout);
    }
  }

  // Solve the problem to the specified tolerances or length
  Anasazi::ReturnType returnCode = MySolverMan.solve();
  testFailed = false;
  if (returnCode != Anasazi::Converged && shortrun==false) {
    testFailed = true;
  }

  // Get the eigenvalues and eigenvectors from the eigenproblem
  Anasazi::Eigensolution<ScalarType,MV> sol = problem->getSolution();
  RCP<MV> evecs = sol.Evecs;
  int numev = sol.numVecs;

  if (numev > 0) {

    std::ostringstream os;
    os.setf(std::ios::scientific, std::ios::floatfield);
    os.precision(6);

    // Compute the direct residual
    std::vector<MagnitudeType> normV( numev );
    SerialDenseMatrix<int,ScalarType> T(numev,numev);
    for (int i=0; i<numev; i++) {
      T(i,i) = sol.Evals[i].realpart;
    }
    RCP<MV> Kvecs = MVT::Clone( *evecs, numev );

    OPT::Apply( *K, *evecs, *Kvecs );

    MVT::MvTimesMatAddMv( -ONE, *evecs, T, ONE, *Kvecs );

开发者ID:00liujj，项目名称:trilinos，代码行数:67，代码来源:cxx_main_complex.cpp

示例4: main


//.........这里部分代码省略.........
    verbosity += Anasazi::FinalSummary + Anasazi::TimingDetails;
  }
  if (debug) {
    verbosity += Anasazi::Debug;
  }


  // Eigensolver parameters
  int maxRestarts = 25;
  int maxDim = 50;
  MagnitudeType tol = 1e-6;
  //
  // Create parameter list to pass into the solver manager
  ParameterList MyPL;
  MyPL.set( "Verbosity", verbosity );
  MyPL.set( "Which", which );
  MyPL.set( "Maximum Subspace Dimension", maxDim );
  MyPL.set( "Block Size", blockSize );
  MyPL.set( "Maximum Restarts", maxRestarts );
  MyPL.set( "Convergence Tolerance", tol );
  //
  // Create the solver manager
  Anasazi::GeneralizedDavidsonSolMgr<ScalarType,MV,OP> MySolverMgr(problem, MyPL);
  //
  // Check that the parameters were all consumed
  if (MyPL.getEntryPtr("Verbosity")->isUsed() == false ||
      MyPL.getEntryPtr("Which")->isUsed() == false ||
      MyPL.getEntryPtr("Maximum Subspace Dimension")->isUsed() == false ||
      MyPL.getEntryPtr("Block Size")->isUsed() == false ||
      MyPL.getEntryPtr("Maximum Restarts")->isUsed() == false ||
      MyPL.getEntryPtr("Convergence Tolerance")->isUsed() == false) {
    if (verbose && MyPID==0) {
      std::cout << "Failure! Unused parameters: " << std::endl;
      MyPL.unused(std::cout);
    }
  }


  // Solve the problem to the specified tolerances or length
  Anasazi::ReturnType returnCode = MySolverMgr.solve();
  testFailed = false;
  if (returnCode != Anasazi::Converged) {
    testFailed = true;
  }

  // Get the eigenvalues and eigenvectors from the eigenproblem
  Anasazi::Eigensolution<ScalarType,MV> sol = problem->getSolution();
  std::vector<Anasazi::Value<ScalarType> > evals = sol.Evals;
  RCP<MV> evecs = sol.Evecs;
  int numev = sol.numVecs;

  if (numev > 0) {

    std::ostringstream os;
    os.setf(std::ios::scientific, std::ios::floatfield);
    os.precision(6);

    // Compute the direct residual
    std::vector<ScalarType> normV( numev );
    SerialDenseMatrix<int,ScalarType> T(numev,numev);
    for (int i=0; i<numev; i++) {
      T(i,i) = evals[i].realpart;
    }
    RCP<MV> Mvecs = MVT::Clone( *evecs, numev );
    RCP<MV> Kvecs = MVT::Clone( *evecs, numev );
    OPT::Apply( *K, *evecs, *Kvecs );

开发者ID:gitter-badger，项目名称:quinoa，代码行数:67，代码来源:cxx_main.cpp

示例5: main


//.........这里部分代码省略.........
    maxRestarts = 100;
  }
  MagnitudeType tol = 1.0e-6;
  //
  // Create parameter list to pass into the solver manager
  ParameterList MyPL;
  MyPL.set( "Verbosity", verbosity );
  MyPL.set( "Which", which );
  MyPL.set( "Block Size", blockSize );
  MyPL.set( "Num Blocks", numBlocks );
  MyPL.set( "Maximum Restarts", maxRestarts );
  MyPL.set( "Convergence Tolerance", tol );
  MyPL.set( "Use Locking", locking );
  MyPL.set( "Locking Tolerance", tol/10 );
  MyPL.set( "In Situ Restarting", insitu );
  MyPL.set( "Num Restart Blocks", rblocks );
  //
  // Create the solver manager
  Anasazi::BlockDavidsonSolMgr<ScalarType,MV,OP> MySolverMan(problem, MyPL);
  // 
  // Check that the parameters were all consumed
  if (MyPL.getEntryPtr("Verbosity")->isUsed() == false ||
      MyPL.getEntryPtr("Which")->isUsed() == false ||
      MyPL.getEntryPtr("Block Size")->isUsed() == false ||
      MyPL.getEntryPtr("Num Blocks")->isUsed() == false ||
      MyPL.getEntryPtr("Maximum Restarts")->isUsed() == false ||
      MyPL.getEntryPtr("Convergence Tolerance")->isUsed() == false ||
      MyPL.getEntryPtr("Use Locking")->isUsed() == false ||
      MyPL.getEntryPtr("In Situ Restarting")->isUsed() == false ||
      MyPL.getEntryPtr("Num Restart Blocks")->isUsed() == false || 
      MyPL.getEntryPtr("Locking Tolerance")->isUsed() == false) {
    if (verbose && MyPID==0) {
      cout << "Failure! Unused parameters: " << endl;
      MyPL.unused(cout);
    }
  }

  // Solve the problem to the specified tolerances or length
  Anasazi::ReturnType returnCode = MySolverMan.solve();
  testFailed = false;
  if (returnCode != Anasazi::Converged && shortrun==false) {
    testFailed = true;
  }

  // Get the eigenvalues and eigenvectors from the eigenproblem
  Anasazi::Eigensolution<ScalarType,MV> sol = problem->getSolution();
  RCP<MV> evecs = sol.Evecs;
  int numev = sol.numVecs;

  if (numev > 0) {

    std::ostringstream os;
    os.setf(std::ios::scientific, std::ios::floatfield);
    os.precision(6);

    // Check the problem against the analytical solutions
    if (verbose) {
      double *revals = new double[numev];
      for (int i=0; i<numev; i++) {
        revals[i] = sol.Evals[i].realpart;
      }
      bool smallest = false;
      if (which == "SM" || which == "SR") {
        smallest = true;
      }
      testCase->eigenCheck( *evecs, revals, 0, smallest );

开发者ID:cakeisalie，项目名称:oomphlib_003，代码行数:67，代码来源:cxx_main.cpp

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