Actual source code: ex51.c

  1: /*$Id: ex51.c,v 1.22 2001/08/07 21:30:08 bsmith Exp $*/

  3: static char help[] = "Tests MatIncreaseOverlap(), MatGetSubMatrices() for MatBAIJ format.\n";

 5:  #include petscmat.h

  9: int main(int argc,char **args)
 10: {
 11:   Mat         A,B,*submatA,*submatB;
 12:   int         bs=1,m=43,ov=1,i,j,k,*rows,*cols,ierr,M,nd=5,*idx,size,mm,nn;
 13:   PetscScalar *vals,rval;
 14:   IS          *is1,*is2;
 15:   PetscRandom rand;
 16:   Vec         xx,s1,s2;
 17:   PetscReal   s1norm,s2norm,rnorm,tol = 1.e-10;
 18:   PetscTruth  flg;

 20:   PetscInitialize(&argc,&args,(char *)0,help);
 21: 

 23:   PetscOptionsGetInt(PETSC_NULL,"-mat_block_size",&bs,PETSC_NULL);
 24:   PetscOptionsGetInt(PETSC_NULL,"-mat_size",&m,PETSC_NULL);
 25:   PetscOptionsGetInt(PETSC_NULL,"-ov",&ov,PETSC_NULL);
 26:   PetscOptionsGetInt(PETSC_NULL,"-nd",&nd,PETSC_NULL);
 27:   M    = m*bs;

 29:   MatCreateSeqBAIJ(PETSC_COMM_SELF,bs,M,M,1,PETSC_NULL,&A);
 30:   MatCreateSeqAIJ(PETSC_COMM_SELF,M,M,15,PETSC_NULL,&B);
 31:   PetscRandomCreate(PETSC_COMM_SELF,RANDOM_DEFAULT,&rand);

 33:   PetscMalloc(bs*sizeof(int),&rows);
 34:   PetscMalloc(bs*sizeof(int),&cols);
 35:   PetscMalloc(bs*bs*sizeof(PetscScalar),&vals);
 36:   PetscMalloc(M*sizeof(PetscScalar),&idx);
 37: 
 38:   /* Now set blocks of values */
 39:   for (i=0; i<20*bs; i++) {
 40:       PetscRandomGetValue(rand,&rval);
 41:       cols[0] = bs*(int)(PetscRealPart(rval)*m);
 42:       PetscRandomGetValue(rand,&rval);
 43:       rows[0] = bs*(int)(PetscRealPart(rval)*m);
 44:       for (j=1; j<bs; j++) {
 45:         rows[j] = rows[j-1]+1;
 46:         cols[j] = cols[j-1]+1;
 47:       }

 49:       for (j=0; j<bs*bs; j++) {
 50:         PetscRandomGetValue(rand,&rval);
 51:         vals[j] = rval;
 52:       }
 53:       MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);
 54:       MatSetValues(B,bs,rows,bs,cols,vals,ADD_VALUES);
 55:   }

 57:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
 58:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
 59:   MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);
 60:   MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);

 62:     /* Test MatIncreaseOverlap() */
 63:   PetscMalloc(nd*sizeof(IS **),&is1);
 64:   PetscMalloc(nd*sizeof(IS **),&is2);

 66: 
 67:   for (i=0; i<nd; i++) {
 68:     PetscRandomGetValue(rand,&rval);
 69:     size = (int)(PetscRealPart(rval)*m);
 70:     for (j=0; j<size; j++) {
 71:       PetscRandomGetValue(rand,&rval);
 72:       idx[j*bs] = bs*(int)(PetscRealPart(rval)*m);
 73:       for (k=1; k<bs; k++) idx[j*bs+k] = idx[j*bs]+k;
 74:     }
 75:     ISCreateGeneral(PETSC_COMM_SELF,size*bs,idx,is1+i);
 76:     ISCreateGeneral(PETSC_COMM_SELF,size*bs,idx,is2+i);
 77:   }
 78:   MatIncreaseOverlap(A,nd,is1,ov);
 79:   MatIncreaseOverlap(B,nd,is2,ov);

 81:   for (i=0; i<nd; ++i) {
 82:     ISEqual(is1[i],is2[i],&flg);
 83:     PetscPrintf(PETSC_COMM_SELF,"i=%d, flg =%d\n",i,flg);
 84:   }

 86:   for (i=0; i<nd; ++i) {
 87:     ISSort(is1[i]);
 88:     ISSort(is2[i]);
 89:   }
 90: 
 91:   MatGetSubMatrices(A,nd,is1,is1,MAT_INITIAL_MATRIX,&submatA);
 92:   MatGetSubMatrices(B,nd,is2,is2,MAT_INITIAL_MATRIX,&submatB);

 94:   /* Test MatMult() */
 95:   for (i=0; i<nd; i++) {
 96:     MatGetSize(submatA[i],&mm,&nn);
 97:     VecCreateSeq(PETSC_COMM_SELF,mm,&xx);
 98:     VecDuplicate(xx,&s1);
 99:     VecDuplicate(xx,&s2);
100:     for (j=0; j<3; j++) {
101:       VecSetRandom(rand,xx);
102:       MatMult(submatA[i],xx,s1);
103:       MatMult(submatB[i],xx,s2);
104:       VecNorm(s1,NORM_2,&s1norm);
105:       VecNorm(s2,NORM_2,&s2norm);
106:       rnorm = s2norm-s1norm;
107:       if (rnorm<-tol || rnorm>tol) {
108:         PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",s1norm,s2norm);
109:       }
110:     }
111:     VecDestroy(xx);
112:     VecDestroy(s1);
113:     VecDestroy(s2);
114:   }
115:   /* Now test MatGetSubmatrices with MAT_REUSE_MATRIX option */
116:   MatGetSubMatrices(A,nd,is1,is1,MAT_REUSE_MATRIX,&submatA);
117:   MatGetSubMatrices(B,nd,is2,is2,MAT_REUSE_MATRIX,&submatB);
118: 
119:   /* Test MatMult() */
120:   for (i=0; i<nd; i++) {
121:     MatGetSize(submatA[i],&mm,&nn);
122:     VecCreateSeq(PETSC_COMM_SELF,mm,&xx);
123:     VecDuplicate(xx,&s1);
124:     VecDuplicate(xx,&s2);
125:     for (j=0; j<3; j++) {
126:       VecSetRandom(rand,xx);
127:       MatMult(submatA[i],xx,s1);
128:       MatMult(submatB[i],xx,s2);
129:       VecNorm(s1,NORM_2,&s1norm);
130:       VecNorm(s2,NORM_2,&s2norm);
131:       rnorm = s2norm-s1norm;
132:       if (rnorm<-tol || rnorm>tol) {
133:         PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",s1norm,s2norm);
134:       }
135:     }
136:     VecDestroy(xx);
137:     VecDestroy(s1);
138:     VecDestroy(s2);
139:   }
140: 
141:   /* Free allocated memory */
142:   for (i=0; i<nd; ++i) {
143:     ISDestroy(is1[i]);
144:     ISDestroy(is2[i]);
145:     MatDestroy(submatA[i]);
146:     MatDestroy(submatB[i]);
147:  }
148:   PetscFree(is1);
149:   PetscFree(is2);
150:   PetscFree(idx);
151:   PetscFree(rows);
152:   PetscFree(cols);
153:   PetscFree(vals);
154:   MatDestroy(A);
155:   MatDestroy(B);
156:   PetscFree(submatA);
157:   PetscFree(submatB);
158:   PetscRandomDestroy(rand);
159:   PetscFinalize();
160:   return 0;
161: }