xref: /petsc/src/mat/tests/ex91.c (revision 2c71b3e237ead271e4f3aa1505f92bf476e3413d)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Tests MatIncreaseOverlap(), MatCreateSubMatrices() for sequential MatSBAIJ format. Derived from ex51.c\n";
3c4762a1bSJed Brown 
4c4762a1bSJed Brown #include <petscmat.h>
5c4762a1bSJed Brown 
6c4762a1bSJed Brown int main(int argc,char **args)
7c4762a1bSJed Brown {
8c4762a1bSJed Brown   Mat            A,Atrans,sA,*submatA,*submatsA;
9c4762a1bSJed Brown   PetscInt       bs=1,m=43,ov=1,i,j,k,*rows,*cols,M,nd=5,*idx,mm,nn;
10c4762a1bSJed Brown   PetscErrorCode ierr;
11c4762a1bSJed Brown   PetscMPIInt    size;
12c4762a1bSJed Brown   PetscScalar    *vals,rval,one=1.0;
13c4762a1bSJed Brown   IS             *is1,*is2;
14c4762a1bSJed Brown   PetscRandom    rand;
15c4762a1bSJed Brown   Vec            xx,s1,s2;
16c4762a1bSJed Brown   PetscReal      s1norm,s2norm,rnorm,tol = 10*PETSC_SMALL;
17c4762a1bSJed Brown   PetscBool      flg;
18c4762a1bSJed Brown 
19c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
20c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-mat_block_size",&bs,NULL);CHKERRQ(ierr);
21c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-mat_size",&m,NULL);CHKERRQ(ierr);
22c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-ov",&ov,NULL);CHKERRQ(ierr);
23c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-nd",&nd,NULL);CHKERRQ(ierr);
24c4762a1bSJed Brown 
25c4762a1bSJed Brown   /* create a SeqBAIJ matrix A */
26c4762a1bSJed Brown   M    = m*bs;
27c4762a1bSJed Brown   ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,bs,M,M,1,NULL,&A);CHKERRQ(ierr);
28c4762a1bSJed Brown   ierr = MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE);CHKERRQ(ierr);
29c4762a1bSJed Brown   ierr = PetscRandomCreate(PETSC_COMM_SELF,&rand);CHKERRQ(ierr);
30c4762a1bSJed Brown   ierr = PetscRandomSetFromOptions(rand);CHKERRQ(ierr);
31c4762a1bSJed Brown 
32c4762a1bSJed Brown   ierr = PetscMalloc1(bs,&rows);CHKERRQ(ierr);
33c4762a1bSJed Brown   ierr = PetscMalloc1(bs,&cols);CHKERRQ(ierr);
34c4762a1bSJed Brown   ierr = PetscMalloc1(bs*bs,&vals);CHKERRQ(ierr);
35c4762a1bSJed Brown   ierr = PetscMalloc1(M,&idx);CHKERRQ(ierr);
36c4762a1bSJed Brown 
37c4762a1bSJed Brown   /* Now set blocks of random values */
38c4762a1bSJed Brown   /* first, set diagonal blocks as zero */
39c4762a1bSJed Brown   for (j=0; j<bs*bs; j++) vals[j] = 0.0;
40c4762a1bSJed Brown   for (i=0; i<m; i++) {
41c4762a1bSJed Brown     cols[0] = i*bs; rows[0] = i*bs;
42c4762a1bSJed Brown     for (j=1; j<bs; j++) {
43c4762a1bSJed Brown       rows[j] = rows[j-1]+1;
44c4762a1bSJed Brown       cols[j] = cols[j-1]+1;
45c4762a1bSJed Brown     }
46c4762a1bSJed Brown     ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
47c4762a1bSJed Brown   }
48c4762a1bSJed Brown   /* second, add random blocks */
49c4762a1bSJed Brown   for (i=0; i<20*bs; i++) {
50c4762a1bSJed Brown     ierr    = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
51c4762a1bSJed Brown     cols[0] = bs*(int)(PetscRealPart(rval)*m);
52c4762a1bSJed Brown     ierr    = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
53c4762a1bSJed Brown     rows[0] = bs*(int)(PetscRealPart(rval)*m);
54c4762a1bSJed Brown     for (j=1; j<bs; j++) {
55c4762a1bSJed Brown       rows[j] = rows[j-1]+1;
56c4762a1bSJed Brown       cols[j] = cols[j-1]+1;
57c4762a1bSJed Brown     }
58c4762a1bSJed Brown 
59c4762a1bSJed Brown     for (j=0; j<bs*bs; j++) {
60c4762a1bSJed Brown       ierr    = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
61c4762a1bSJed Brown       vals[j] = rval;
62c4762a1bSJed Brown     }
63c4762a1bSJed Brown     ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
64c4762a1bSJed Brown   }
65c4762a1bSJed Brown 
66c4762a1bSJed Brown   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
67c4762a1bSJed Brown   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
68c4762a1bSJed Brown 
69c4762a1bSJed Brown   /* make A a symmetric matrix: A <- A^T + A */
70c4762a1bSJed Brown   ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Atrans);CHKERRQ(ierr);
71c4762a1bSJed Brown   ierr = MatAXPY(A,one,Atrans,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
72c4762a1bSJed Brown   ierr = MatDestroy(&Atrans);CHKERRQ(ierr);
73c4762a1bSJed Brown   ierr = MatTranspose(A,MAT_INITIAL_MATRIX, &Atrans);CHKERRQ(ierr);
74c4762a1bSJed Brown   ierr = MatEqual(A, Atrans, &flg);CHKERRQ(ierr);
75*2c71b3e2SJacob Faibussowitsch   PetscCheckFalse(!flg,PETSC_COMM_SELF,PETSC_ERR_PLIB,"A+A^T is non-symmetric");
76c4762a1bSJed Brown   ierr = MatDestroy(&Atrans);CHKERRQ(ierr);
77c4762a1bSJed Brown 
78c4762a1bSJed Brown   /* create a SeqSBAIJ matrix sA (= A) */
79c4762a1bSJed Brown   ierr = MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr);
80c4762a1bSJed Brown   ierr = MatConvert(A,MATSEQSBAIJ,MAT_INITIAL_MATRIX,&sA);CHKERRQ(ierr);
81c4762a1bSJed Brown 
82c4762a1bSJed Brown   /* Test sA==A through MatMult() */
83c4762a1bSJed Brown   for (i=0; i<nd; i++) {
84c4762a1bSJed Brown     ierr = MatGetSize(A,&mm,&nn);CHKERRQ(ierr);
85c4762a1bSJed Brown     ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
86c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
87c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
88c4762a1bSJed Brown     for (j=0; j<3; j++) {
89c4762a1bSJed Brown       ierr  = VecSetRandom(xx,rand);CHKERRQ(ierr);
90c4762a1bSJed Brown       ierr  = MatMult(A,xx,s1);CHKERRQ(ierr);
91c4762a1bSJed Brown       ierr  = MatMult(sA,xx,s2);CHKERRQ(ierr);
92c4762a1bSJed Brown       ierr  = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
93c4762a1bSJed Brown       ierr  = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
94c4762a1bSJed Brown       rnorm = s2norm-s1norm;
95c4762a1bSJed Brown       if (rnorm<-tol || rnorm>tol) {
968fffc762SJacob Faibussowitsch         ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",(double)s1norm,(double)s2norm);CHKERRQ(ierr);
97c4762a1bSJed Brown       }
98c4762a1bSJed Brown     }
99c4762a1bSJed Brown     ierr = VecDestroy(&xx);CHKERRQ(ierr);
100c4762a1bSJed Brown     ierr = VecDestroy(&s1);CHKERRQ(ierr);
101c4762a1bSJed Brown     ierr = VecDestroy(&s2);CHKERRQ(ierr);
102c4762a1bSJed Brown   }
103c4762a1bSJed Brown 
104c4762a1bSJed Brown   /* Test MatIncreaseOverlap() */
105c4762a1bSJed Brown   ierr = PetscMalloc1(nd,&is1);CHKERRQ(ierr);
106c4762a1bSJed Brown   ierr = PetscMalloc1(nd,&is2);CHKERRQ(ierr);
107c4762a1bSJed Brown 
108c4762a1bSJed Brown   for (i=0; i<nd; i++) {
109c4762a1bSJed Brown     ierr = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
110c4762a1bSJed Brown     size = (int)(PetscRealPart(rval)*m);
111c4762a1bSJed Brown     for (j=0; j<size; j++) {
112c4762a1bSJed Brown       ierr      = PetscRandomGetValue(rand,&rval);CHKERRQ(ierr);
113c4762a1bSJed Brown       idx[j*bs] = bs*(int)(PetscRealPart(rval)*m);
114c4762a1bSJed Brown       for (k=1; k<bs; k++) idx[j*bs+k] = idx[j*bs]+k;
115c4762a1bSJed Brown     }
116c4762a1bSJed Brown     ierr = ISCreateGeneral(PETSC_COMM_SELF,size*bs,idx,PETSC_COPY_VALUES,is1+i);CHKERRQ(ierr);
117c4762a1bSJed Brown     ierr = ISCreateGeneral(PETSC_COMM_SELF,size*bs,idx,PETSC_COPY_VALUES,is2+i);CHKERRQ(ierr);
118c4762a1bSJed Brown   }
119c4762a1bSJed Brown   /* for debugging */
120c4762a1bSJed Brown   /*
121c4762a1bSJed Brown   ierr = MatView(A,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
122c4762a1bSJed Brown   ierr = MatView(sA,PETSC_VIEWER_STDOUT_SELF);CHKERRQ(ierr);
123c4762a1bSJed Brown   */
124c4762a1bSJed Brown 
125c4762a1bSJed Brown   ierr = MatIncreaseOverlap(A,nd,is1,ov);CHKERRQ(ierr);
126c4762a1bSJed Brown   ierr = MatIncreaseOverlap(sA,nd,is2,ov);CHKERRQ(ierr);
127c4762a1bSJed Brown 
128c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
129c4762a1bSJed Brown     ierr = ISSort(is1[i]);CHKERRQ(ierr);
130c4762a1bSJed Brown     ierr = ISSort(is2[i]);CHKERRQ(ierr);
131c4762a1bSJed Brown   }
132c4762a1bSJed Brown 
133c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
134c4762a1bSJed Brown     ierr = ISEqual(is1[i],is2[i],&flg);CHKERRQ(ierr);
135*2c71b3e2SJacob Faibussowitsch     PetscCheckFalse(!flg,PETSC_COMM_SELF,PETSC_ERR_PLIB,"i=%" PetscInt_FMT ", is1 != is2",i);
136c4762a1bSJed Brown   }
137c4762a1bSJed Brown 
138c4762a1bSJed Brown   ierr = MatCreateSubMatrices(A,nd,is1,is1,MAT_INITIAL_MATRIX,&submatA);CHKERRQ(ierr);
139c4762a1bSJed Brown   ierr = MatCreateSubMatrices(sA,nd,is2,is2,MAT_INITIAL_MATRIX,&submatsA);CHKERRQ(ierr);
140c4762a1bSJed Brown 
141c4762a1bSJed Brown   /* Test MatMult() */
142c4762a1bSJed Brown   for (i=0; i<nd; i++) {
143c4762a1bSJed Brown     ierr = MatGetSize(submatA[i],&mm,&nn);CHKERRQ(ierr);
144c4762a1bSJed Brown     ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
145c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
146c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
147c4762a1bSJed Brown     for (j=0; j<3; j++) {
148c4762a1bSJed Brown       ierr  = VecSetRandom(xx,rand);CHKERRQ(ierr);
149c4762a1bSJed Brown       ierr  = MatMult(submatA[i],xx,s1);CHKERRQ(ierr);
150c4762a1bSJed Brown       ierr  = MatMult(submatsA[i],xx,s2);CHKERRQ(ierr);
151c4762a1bSJed Brown       ierr  = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
152c4762a1bSJed Brown       ierr  = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
153c4762a1bSJed Brown       rnorm = s2norm-s1norm;
154c4762a1bSJed Brown       if (rnorm<-tol || rnorm>tol) {
1558fffc762SJacob Faibussowitsch         ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",(double)s1norm,(double)s2norm);CHKERRQ(ierr);
156c4762a1bSJed Brown       }
157c4762a1bSJed Brown     }
158c4762a1bSJed Brown     ierr = VecDestroy(&xx);CHKERRQ(ierr);
159c4762a1bSJed Brown     ierr = VecDestroy(&s1);CHKERRQ(ierr);
160c4762a1bSJed Brown     ierr = VecDestroy(&s2);CHKERRQ(ierr);
161c4762a1bSJed Brown   }
162c4762a1bSJed Brown 
163c4762a1bSJed Brown   /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */
164c4762a1bSJed Brown   ierr = MatCreateSubMatrices(A,nd,is1,is1,MAT_REUSE_MATRIX,&submatA);CHKERRQ(ierr);
165c4762a1bSJed Brown   ierr = MatCreateSubMatrices(sA,nd,is2,is2,MAT_REUSE_MATRIX,&submatsA);CHKERRQ(ierr);
166c4762a1bSJed Brown 
167c4762a1bSJed Brown   /* Test MatMult() */
168c4762a1bSJed Brown   for (i=0; i<nd; i++) {
169c4762a1bSJed Brown     ierr = MatGetSize(submatA[i],&mm,&nn);CHKERRQ(ierr);
170c4762a1bSJed Brown     ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
171c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
172c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
173c4762a1bSJed Brown     for (j=0; j<3; j++) {
174c4762a1bSJed Brown       ierr  = VecSetRandom(xx,rand);CHKERRQ(ierr);
175c4762a1bSJed Brown       ierr  = MatMult(submatA[i],xx,s1);CHKERRQ(ierr);
176c4762a1bSJed Brown       ierr  = MatMult(submatsA[i],xx,s2);CHKERRQ(ierr);
177c4762a1bSJed Brown       ierr  = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
178c4762a1bSJed Brown       ierr  = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
179c4762a1bSJed Brown       rnorm = s2norm-s1norm;
180c4762a1bSJed Brown       if (rnorm<-tol || rnorm>tol) {
1818fffc762SJacob Faibussowitsch         ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",(double)s1norm,(double)s2norm);CHKERRQ(ierr);
182c4762a1bSJed Brown       }
183c4762a1bSJed Brown     }
184c4762a1bSJed Brown     ierr = VecDestroy(&xx);CHKERRQ(ierr);
185c4762a1bSJed Brown     ierr = VecDestroy(&s1);CHKERRQ(ierr);
186c4762a1bSJed Brown     ierr = VecDestroy(&s2);CHKERRQ(ierr);
187c4762a1bSJed Brown   }
188c4762a1bSJed Brown 
189c4762a1bSJed Brown   /* Free allocated memory */
190c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
191c4762a1bSJed Brown     ierr = ISDestroy(&is1[i]);CHKERRQ(ierr);
192c4762a1bSJed Brown     ierr = ISDestroy(&is2[i]);CHKERRQ(ierr);
193c4762a1bSJed Brown   }
194c4762a1bSJed Brown   ierr = MatDestroySubMatrices(nd,&submatA);CHKERRQ(ierr);
195c4762a1bSJed Brown   ierr = MatDestroySubMatrices(nd,&submatsA);CHKERRQ(ierr);
196c4762a1bSJed Brown 
197c4762a1bSJed Brown   ierr = PetscFree(is1);CHKERRQ(ierr);
198c4762a1bSJed Brown   ierr = PetscFree(is2);CHKERRQ(ierr);
199c4762a1bSJed Brown   ierr = PetscFree(idx);CHKERRQ(ierr);
200c4762a1bSJed Brown   ierr = PetscFree(rows);CHKERRQ(ierr);
201c4762a1bSJed Brown   ierr = PetscFree(cols);CHKERRQ(ierr);
202c4762a1bSJed Brown   ierr = PetscFree(vals);CHKERRQ(ierr);
203c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
204c4762a1bSJed Brown   ierr = MatDestroy(&sA);CHKERRQ(ierr);
205c4762a1bSJed Brown   ierr = PetscRandomDestroy(&rand);CHKERRQ(ierr);
206c4762a1bSJed Brown   ierr = PetscFinalize();
207c4762a1bSJed Brown   return ierr;
208c4762a1bSJed Brown }
209c4762a1bSJed Brown 
210c4762a1bSJed Brown /*TEST
211c4762a1bSJed Brown 
212c4762a1bSJed Brown    test:
213c4762a1bSJed Brown       args: -ov 2
214c4762a1bSJed Brown 
215c4762a1bSJed Brown TEST*/
216