static char help[] = "Solves an ill-conditioned tridiagonal linear system with KSP for testing GMRES breakdown tolerance.\n\n";

#include <petscksp.h>

int main(int argc, char **args)
{
  Vec         x, b, u; /* approx solution, RHS, exact solution */
  Mat         A;       /* linear system matrix */
  KSP         ksp;     /* linear solver context */
  PetscInt    i, n = 10, col[3];
  PetscMPIInt size;
  PetscScalar value[3];

  PetscFunctionBeginUser;
  PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
  PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
  PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "This is a uniprocessor example only!");

  /*
     Create vectors.  Note that we form 1 vector from scratch and
     then duplicate as needed.
  */
  PetscCall(VecCreate(PETSC_COMM_WORLD, &x));
  PetscCall(PetscObjectSetName((PetscObject)x, "Solution"));
  PetscCall(VecSetSizes(x, PETSC_DECIDE, n));
  PetscCall(VecSetFromOptions(x));
  PetscCall(VecDuplicate(x, &b));
  PetscCall(VecDuplicate(x, &u));

  PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
  PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, n, n));
  PetscCall(MatSetFromOptions(A));
  PetscCall(MatSetUp(A));

  /*
     Set big off-diag values to make the system ill-conditioned
  */
  value[0] = 10.0;
  value[1] = 2.0;
  value[2] = 1.0;
  for (i = 1; i < n - 1; i++) {
    col[0] = i - 1;
    col[1] = i;
    col[2] = i + 1;
    PetscCall(MatSetValues(A, 1, &i, 3, col, value, INSERT_VALUES));
  }
  i      = n - 1;
  col[0] = n - 2;
  col[1] = n - 1;
  PetscCall(MatSetValues(A, 1, &i, 2, col, value, INSERT_VALUES));
  i        = 0;
  col[0]   = 0;
  col[1]   = 1;
  value[0] = 2.0;
  value[1] = -1.0;
  PetscCall(MatSetValues(A, 1, &i, 2, col, value, INSERT_VALUES));
  PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));

  PetscCall(VecSet(u, 1.0));
  PetscCall(MatMult(A, u, b));

  PetscCall(KSPCreate(PETSC_COMM_WORLD, &ksp));
  PetscCall(KSPSetOperators(ksp, A, A));
  PetscCall(KSPSetFromOptions(ksp));
  PetscCall(KSPSolve(ksp, b, x));

  PetscCall(KSPSetInitialGuessNonzero(ksp, PETSC_TRUE));
  PetscCall(PetscOptionsInsertString(NULL, "-ksp_type preonly -ksp_initial_guess_nonzero false"));
  PetscCall(PetscOptionsClearValue(NULL, "-ksp_converged_reason"));
  PetscCall(KSPSetFromOptions(ksp));
  PetscCall(KSPSolve(ksp, b, x));

  PetscCall(VecDestroy(&x));
  PetscCall(VecDestroy(&u));
  PetscCall(VecDestroy(&b));
  PetscCall(MatDestroy(&A));
  PetscCall(KSPDestroy(&ksp));

  PetscCall(PetscFinalize());
  return 0;
}

/*TEST

   test:
      requires: double !complex
      args: -ksp_rtol 1e-18 -pc_type sor -ksp_converged_reason -ksp_gmres_breakdown_tolerance 1.e-9
      output_file: output/ex70.out

TEST*/
