Actual source code: ex1.c

petsc-3.3-p7 2013-05-11
  2: /* Program usage:  mpiexec ex1 [-help] [all PETSc options] */

  4: static char help[] = "Solves a tridiagonal linear system with KSP.\n\n";

  6: /*T
  7:    Concepts: KSP^solving a system of linear equations
  8:    Processors: 1
  9: T*/

 11: /* 
 12:   Include "petscksp.h" so that we can use KSP solvers.  Note that this file
 13:   automatically includes:
 14:      petscsys.h       - base PETSc routines   petscvec.h - vectors
 15:      petscmat.h - matrices
 16:      petscis.h     - index sets            petscksp.h - Krylov subspace methods
 17:      petscviewer.h - viewers               petscpc.h  - preconditioners

 19:   Note:  The corresponding parallel example is ex23.c
 20: */
 21: #include <petscksp.h>

 25: int main(int argc,char **args)
 26: {
 27:   Vec            x, b, u;      /* approx solution, RHS, exact solution */
 28:   Mat            A;            /* linear system matrix */
 29:   KSP            ksp;         /* linear solver context */
 30:   PC             pc;           /* preconditioner context */
 31:   PetscReal      norm,tol=1.e-14;  /* norm of solution error */
 33:   PetscInt       i,n = 10,col[3],its;
 34:   PetscMPIInt    size;
 35:   PetscScalar    neg_one = -1.0,one = 1.0,value[3];
 36:   PetscBool      nonzeroguess = PETSC_FALSE;

 38:   PetscInitialize(&argc,&args,(char *)0,help);
 39:   MPI_Comm_size(PETSC_COMM_WORLD,&size);
 40:   if (size != 1) SETERRQ(PETSC_COMM_WORLD,1,"This is a uniprocessor example only!");
 41:   PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);
 42:   PetscOptionsGetBool(PETSC_NULL,"-nonzero_guess",&nonzeroguess,PETSC_NULL);


 45:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
 46:          Compute the matrix and right-hand-side vector that define
 47:          the linear system, Ax = b.
 48:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 50:   /* 
 51:      Create vectors.  Note that we form 1 vector from scratch and
 52:      then duplicate as needed.
 53:   */
 54:   VecCreate(PETSC_COMM_WORLD,&x);
 55:   PetscObjectSetName((PetscObject) x, "Solution");
 56:   VecSetSizes(x,PETSC_DECIDE,n);
 57:   VecSetFromOptions(x);
 58:   VecDuplicate(x,&b);
 59:   VecDuplicate(x,&u);

 61:   /* 
 62:      Create matrix.  When using MatCreate(), the matrix format can
 63:      be specified at runtime.

 65:      Performance tuning note:  For problems of substantial size,
 66:      preallocation of matrix memory is crucial for attaining good 
 67:      performance. See the matrix chapter of the users manual for details.
 68:   */
 69:   MatCreate(PETSC_COMM_WORLD,&A);
 70:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);
 71:   MatSetFromOptions(A);
 72:   MatSetUp(A);

 74:   /* 
 75:      Assemble matrix
 76:   */
 77:   value[0] = -1.0; value[1] = 2.0; value[2] = -1.0;
 78:   for (i=1; i<n-1; i++) {
 79:     col[0] = i-1; col[1] = i; col[2] = i+1;
 80:     MatSetValues(A,1,&i,3,col,value,INSERT_VALUES);
 81:   }
 82:   i = n - 1; col[0] = n - 2; col[1] = n - 1;
 83:   MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);
 84:   i = 0; col[0] = 0; col[1] = 1; value[0] = 2.0; value[1] = -1.0;
 85:   MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);
 86:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
 87:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);

 89:   /* 
 90:      Set exact solution; then compute right-hand-side vector.
 91:   */
 92:   VecSet(u,one);
 93:   MatMult(A,u,b);

 95:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
 96:                 Create the linear solver and set various options
 97:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 98:   /* 
 99:      Create linear solver context
100:   */
101:   KSPCreate(PETSC_COMM_WORLD,&ksp);

103:   /* 
104:      Set operators. Here the matrix that defines the linear system
105:      also serves as the preconditioning matrix.
106:   */
107:   KSPSetOperators(ksp,A,A,DIFFERENT_NONZERO_PATTERN);

109:   /* 
110:      Set linear solver defaults for this problem (optional).
111:      - By extracting the KSP and PC contexts from the KSP context,
112:        we can then directly call any KSP and PC routines to set
113:        various options.
114:      - The following four statements are optional; all of these
115:        parameters could alternatively be specified at runtime via
116:        KSPSetFromOptions();
117:   */
118:   KSPGetPC(ksp,&pc);
119:   PCSetType(pc,PCJACOBI);
120:   KSPSetTolerances(ksp,1.e-5,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT);

122:   /* 
123:     Set runtime options, e.g.,
124:         -ksp_type <type> -pc_type <type> -ksp_monitor -ksp_rtol <rtol>
125:     These options will override those specified above as long as
126:     KSPSetFromOptions() is called _after_ any other customization
127:     routines.
128:   */
129:   KSPSetFromOptions(ksp);

131:   if (nonzeroguess) {
132:     PetscScalar p = .5;
133:     VecSet(x,p);
134:     KSPSetInitialGuessNonzero(ksp,PETSC_TRUE);
135:   }
136: 
137:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
138:                       Solve the linear system
139:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
140:   /* 
141:      Solve linear system
142:   */
143:   KSPSolve(ksp,b,x);

145:   /* 
146:      View solver info; we could instead use the option -ksp_view to
147:      print this info to the screen at the conclusion of KSPSolve().
148:   */
149:   KSPView(ksp,PETSC_VIEWER_STDOUT_WORLD);

151:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 
152:                       Check solution and clean up
153:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
154:   /* 
155:      Check the error
156:   */
157:   VecAXPY(x,neg_one,u);
158:   VecNorm(x,NORM_2,&norm);
159:   KSPGetIterationNumber(ksp,&its);
160:   if (norm > tol){
161:     PetscPrintf(PETSC_COMM_WORLD,"Norm of error %G, Iterations %D\n",
162:                      norm,its);
163:   }

165:   /* 
166:      Free work space.  All PETSc objects should be destroyed when they
167:      are no longer needed.
168:   */
169:   VecDestroy(&x); VecDestroy(&u);
170:   VecDestroy(&b); MatDestroy(&A);
171:   KSPDestroy(&ksp);

173:   /*
174:      Always call PetscFinalize() before exiting a program.  This routine
175:        - finalizes the PETSc libraries as well as MPI
176:        - provides summary and diagnostic information if certain runtime
177:          options are chosen (e.g., -log_summary).
178:   */
179:   PetscFinalize();
180:   return 0;
181: }