Actual source code: ex7.c

  2: static char help[] = "Reads a PETSc matrix and vector from a file and solves a linear system.\n\
  3:  Tests inplace factorization for SeqBAIJ. Input parameters include\n\
  4:   -f0 <input_file> : first file to load (small system)\n\n";

  6: /*T
  7:    Concepts: KSP^solving a linear system
  8:    Concepts: PetscLog^profiling multiple stages of code;
  9:    Processors: n
 10: T*/

 12: /* 
 13:   Include "petscksp.h" so that we can use KSP solvers.  Note that this file
 14:   automatically includes:
 15:      petsc.h       - base PETSc routines   petscvec.h - vectors
 16:      petscsys.h    - system routines       petscmat.h - matrices
 17:      petscis.h     - index sets            petscksp.h - Krylov subspace methods
 18:      petscviewer.h - viewers               petscpc.h  - preconditioners
 19: */
 20:  #include petscksp.h

 24: int main(int argc,char **args)
 25: {
 26:   KSP            ksp;             /* linear solver context */
 27:   Mat            A,B;                /* matrix */
 28:   Vec            x,b,u;          /* approx solution, RHS, exact solution */
 29:   PetscViewer    fd;               /* viewer */
 30:   char           file[2][PETSC_MAX_PATH_LEN];     /* input file name */
 32:   PetscInt       its;
 33:   PetscTruth     flg;
 34:   PetscReal      norm;
 35:   PetscScalar    zero = 0.0,none = -1.0;

 37:   PetscInitialize(&argc,&args,(char *)0,help);

 39:   /* 
 40:      Determine files from which we read the two linear systems
 41:      (matrix and right-hand-side vector).
 42:   */
 43:   PetscOptionsGetString(PETSC_NULL,"-f0",file[0],PETSC_MAX_PATH_LEN-1,&flg);
 44:   if (!flg) SETERRQ(1,"Must indicate binary file with the -f0 option");


 47:   /* 
 48:        Open binary file.  Note that we use PETSC_FILE_RDONLY to indicate
 49:        reading from this file.
 50:   */
 51:   PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[0],PETSC_FILE_RDONLY,&fd);

 53:   /*
 54:        Load the matrix and vector; then destroy the viewer.
 55:   */
 56:   MatLoad(fd,MATSEQBAIJ,&A);
 57:   MatConvert(A,MATSAME,MAT_INITIAL_MATRIX,&B);
 58:   VecLoad(fd,PETSC_NULL,&b);
 59:   PetscViewerDestroy(fd);

 61:   /* 
 62:        If the loaded matrix is larger than the vector (due to being padded 
 63:        to match the block size of the system), then create a new padded vector.
 64:   */
 65:   {
 66:       PetscInt     m,n,j,mvec,start,end,idx;
 67:       Vec          tmp;
 68:       PetscScalar *bold;

 70:       /* Create a new vector b by padding the old one */
 71:       MatGetLocalSize(A,&m,&n);
 72:       VecCreate(PETSC_COMM_WORLD,&tmp);
 73:       VecSetSizes(tmp,m,PETSC_DECIDE);
 74:       VecSetFromOptions(tmp);
 75:       VecGetOwnershipRange(b,&start,&end);
 76:       VecGetLocalSize(b,&mvec);
 77:       VecGetArray(b,&bold);
 78:       for (j=0; j<mvec; j++) {
 79:         idx = start+j;
 80:         VecSetValues(tmp,1,&idx,bold+j,INSERT_VALUES);
 81:       }
 82:       VecRestoreArray(b,&bold);
 83:       VecDestroy(b);
 84:       VecAssemblyBegin(tmp);
 85:       VecAssemblyEnd(tmp);
 86:       b = tmp;
 87:     }
 88:   VecDuplicate(b,&x);
 89:   VecDuplicate(b,&u);
 90:   VecSet(x,zero);

 92:   /*
 93:       Create linear solver; set operators; set runtime options.
 94:   */
 95:   KSPCreate(PETSC_COMM_WORLD,&ksp);
 96:   KSPSetOperators(ksp,A,B,DIFFERENT_NONZERO_PATTERN);
 97:   KSPSetFromOptions(ksp);

 99:   /* 
100:        Here we explicitly call KSPSetUp() and KSPSetUpOnBlocks() to
101:        enable more precise profiling of setting up the preconditioner.
102:        These calls are optional, since both will be called within
103:        KSPSolve() if they haven't been called already.
104:   */
105:   KSPSetUp(ksp);
106:   KSPSetUpOnBlocks(ksp);
107:   KSPSolve(ksp,b,x);

109:   /*
110:             Check error, print output, free data structures.
111:             This stage is not profiled separately.
112:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

114:   /* 
115:      Check error
116:   */
117:   MatMult(A,x,u);
118:   VecAXPY(u,none,b);
119:   VecNorm(u,NORM_2,&norm);
120:   KSPGetIterationNumber(ksp,&its);
121:   PetscPrintf(PETSC_COMM_WORLD,"Number of iterations = %3D\n",its);
122:   PetscPrintf(PETSC_COMM_WORLD,"Residual norm = %A\n",norm);

124:   /* 
125:        Free work space.  All PETSc objects should be destroyed when they
126:        are no longer needed.
127:   */
128:   MatDestroy(A);
129:   MatDestroy(B);
130:   VecDestroy(b);
131:   VecDestroy(u); VecDestroy(x);
132:   KSPDestroy(ksp);


135:   PetscFinalize();
136:   return 0;
137: }