Actual source code: ex17.c

petsc-3.7.4 2016-10-02
Report Typos and Errors
  2: static char help[] = "Solves a linear system with KSP.  This problem is\n\
  3: intended to test the complex numbers version of various solvers.\n\n";

  5: #include <petscksp.h>

  7: typedef enum {TEST_1,TEST_2,TEST_3,HELMHOLTZ_1,HELMHOLTZ_2} TestType;
  8: extern PetscErrorCode FormTestMatrix(Mat,PetscInt,TestType);

 12: int main(int argc,char **args)
 13: {
 14:   Vec            x,b,u;      /* approx solution, RHS, exact solution */
 15:   Mat            A;            /* linear system matrix */
 16:   KSP            ksp;         /* KSP context */
 18:   PetscInt       n    = 10,its, dim,p = 1,use_random;
 19:   PetscScalar    none = -1.0,pfive = 0.5;
 20:   PetscReal      norm;
 21:   PetscRandom    rctx;
 22:   TestType       type;
 23:   PetscBool      flg;

 25:   PetscInitialize(&argc,&args,(char*)0,help);
 26:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
 27:   PetscOptionsGetInt(NULL,NULL,"-p",&p,NULL);
 28:   switch (p) {
 29:   case 1:  type = TEST_1;      dim = n;   break;
 30:   case 2:  type = TEST_2;      dim = n;   break;
 31:   case 3:  type = TEST_3;      dim = n;   break;
 32:   case 4:  type = HELMHOLTZ_1; dim = n*n; break;
 33:   case 5:  type = HELMHOLTZ_2; dim = n*n; break;
 34:   default: type = TEST_1;      dim = n;
 35:   }

 37:   /* Create vectors */
 38:   VecCreate(PETSC_COMM_WORLD,&x);
 39:   VecSetSizes(x,PETSC_DECIDE,dim);
 40:   VecSetFromOptions(x);
 41:   VecDuplicate(x,&b);
 42:   VecDuplicate(x,&u);

 44:   use_random = 1;
 45:   flg        = PETSC_FALSE;
 46:   PetscOptionsGetBool(NULL,NULL,"-norandom",&flg,NULL);
 47:   if (flg) {
 48:     use_random = 0;
 49:     VecSet(u,pfive);
 50:   } else {
 51:     PetscRandomCreate(PETSC_COMM_WORLD,&rctx);
 52:     PetscRandomSetFromOptions(rctx);
 53:     VecSetRandom(u,rctx);
 54:   }

 56:   /* Create and assemble matrix */
 57:   MatCreate(PETSC_COMM_WORLD,&A);
 58:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,dim,dim);
 59:   MatSetFromOptions(A);
 60:   MatSetUp(A);
 61:   FormTestMatrix(A,n,type);
 62:   MatMult(A,u,b);
 63:   flg  = PETSC_FALSE;
 64:   PetscOptionsGetBool(NULL,NULL,"-printout",&flg,NULL);
 65:   if (flg) {
 66:     MatView(A,PETSC_VIEWER_STDOUT_WORLD);
 67:     VecView(u,PETSC_VIEWER_STDOUT_WORLD);
 68:     VecView(b,PETSC_VIEWER_STDOUT_WORLD);
 69:   }

 71:   /* Create KSP context; set operators and options; solve linear system */
 72:   KSPCreate(PETSC_COMM_WORLD,&ksp);
 73:   KSPSetOperators(ksp,A,A);
 74:   KSPSetFromOptions(ksp);
 75:   KSPSolve(ksp,b,x);
 76:   /* KSPView(ksp,PETSC_VIEWER_STDOUT_WORLD); */

 78:   /* Check error */
 79:   VecAXPY(x,none,u);
 80:   VecNorm(x,NORM_2,&norm);
 81:   KSPGetIterationNumber(ksp,&its);
 82:   if (norm >= 1.e-12) {
 83:     PetscPrintf(PETSC_COMM_WORLD,"Norm of error %g, Iterations %D\n",(double)norm,its);
 84:   } else {
 85:     PetscPrintf(PETSC_COMM_WORLD,"Norm of error < 1.e-12, Iterations %D\n",its);
 86:   }

 88:   /* Free work space */
 89:   VecDestroy(&x); VecDestroy(&u);
 90:   VecDestroy(&b); MatDestroy(&A);
 91:   if (use_random) {PetscRandomDestroy(&rctx);}
 92:   KSPDestroy(&ksp);
 93:   PetscFinalize();
 94:   return 0;
 95: }

 99: PetscErrorCode FormTestMatrix(Mat A,PetscInt n,TestType type)
100: {
101: #if !defined(PETSC_USE_COMPLEX)
102:   SETERRQ(PetscObjectComm((PetscObject)A),1,"FormTestMatrix: These problems require complex numbers.");
103: #else

105:   PetscScalar    val[5];
107:   PetscInt       i,j,Ii,J,col[5],Istart,Iend;

109:   MatGetOwnershipRange(A,&Istart,&Iend);
110:   if (type == TEST_1) {
111:     val[0] = 1.0; val[1] = 4.0; val[2] = -2.0;
112:     for (i=1; i<n-1; i++) {
113:       col[0] = i-1; col[1] = i; col[2] = i+1;
114:       MatSetValues(A,1,&i,3,col,val,INSERT_VALUES);
115:     }
116:     i    = n-1; col[0] = n-2; col[1] = n-1;
117:     MatSetValues(A,1,&i,2,col,val,INSERT_VALUES);
118:     i    = 0; col[0] = 0; col[1] = 1; val[0] = 4.0; val[1] = -2.0;
119:     MatSetValues(A,1,&i,2,col,val,INSERT_VALUES);
120:   } else if (type == TEST_2) {
121:     val[0] = 1.0; val[1] = 0.0; val[2] = 2.0; val[3] = 1.0;
122:     for (i=2; i<n-1; i++) {
123:       col[0] = i-2; col[1] = i-1; col[2] = i; col[3] = i+1;
124:       MatSetValues(A,1,&i,4,col,val,INSERT_VALUES);
125:     }
126:     i    = n-1; col[0] = n-3; col[1] = n-2; col[2] = n-1;
127:     MatSetValues(A,1,&i,3,col,val,INSERT_VALUES);
128:     i    = 1; col[0] = 0; col[1] = 1; col[2] = 2;
129:     MatSetValues(A,1,&i,3,col,&val[1],INSERT_VALUES);
130:     i    = 0;
131:     MatSetValues(A,1,&i,2,col,&val[2],INSERT_VALUES);
132:   } else if (type == TEST_3) {
133:     val[0] = PETSC_i * 2.0;
134:     val[1] = 4.0; val[2] = 0.0; val[3] = 1.0; val[4] = 0.7;
135:     for (i=1; i<n-3; i++) {
136:       col[0] = i-1; col[1] = i; col[2] = i+1; col[3] = i+2; col[4] = i+3;
137:       MatSetValues(A,1,&i,5,col,val,INSERT_VALUES);
138:     }
139:     i    = n-3; col[0] = n-4; col[1] = n-3; col[2] = n-2; col[3] = n-1;
140:     MatSetValues(A,1,&i,4,col,val,INSERT_VALUES);
141:     i    = n-2; col[0] = n-3; col[1] = n-2; col[2] = n-1;
142:     MatSetValues(A,1,&i,3,col,val,INSERT_VALUES);
143:     i    = n-1; col[0] = n-2; col[1] = n-1;
144:     MatSetValues(A,1,&i,2,col,val,INSERT_VALUES);
145:     i    = 0; col[0] = 0; col[1] = 1; col[2] = 2; col[3] = 3;
146:     MatSetValues(A,1,&i,4,col,&val[1],INSERT_VALUES);
147:   } else if (type == HELMHOLTZ_1) {
148:     /* Problem domain: unit square: (0,1) x (0,1)
149:        Solve Helmholtz equation:
150:           -delta u - sigma1*u + i*sigma2*u = f,
151:            where delta = Laplace operator
152:        Dirichlet b.c.'s on all sides
153:      */
154:     PetscRandom rctx;
155:     PetscReal   h2,sigma1 = 5.0;
156:     PetscScalar sigma2;
157:     PetscOptionsGetReal(NULL,NULL,"-sigma1",&sigma1,NULL);
158:     PetscRandomCreate(PETSC_COMM_WORLD,&rctx);
159:     PetscRandomSetFromOptions(rctx);
160:     PetscRandomSetInterval(rctx,0.0,PETSC_i);
161:     h2   = 1.0/((n+1)*(n+1));
162:     for (Ii=Istart; Ii<Iend; Ii++) {
163:       *val = -1.0; i = Ii/n; j = Ii - i*n;
164:       if (i>0) {
165:         J = Ii-n; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
166:       }
167:       if (i<n-1) {
168:         J = Ii+n; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
169:       }
170:       if (j>0) {
171:         J = Ii-1; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
172:       }
173:       if (j<n-1) {
174:         J = Ii+1; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
175:       }
176:       PetscRandomGetValue(rctx,&sigma2);
177:       *val = 4.0 - sigma1*h2 + sigma2*h2;
178:       MatSetValues(A,1,&Ii,1,&Ii,val,ADD_VALUES);
179:     }
180:     PetscRandomDestroy(&rctx);
181:   } else if (type == HELMHOLTZ_2) {
182:     /* Problem domain: unit square: (0,1) x (0,1)
183:        Solve Helmholtz equation:
184:           -delta u - sigma1*u = f,
185:            where delta = Laplace operator
186:        Dirichlet b.c.'s on 3 sides
187:        du/dn = i*alpha*u on (1,y), 0<y<1
188:      */
189:     PetscReal   h2,sigma1 = 200.0;
190:     PetscScalar alpha_h;
191:     PetscOptionsGetReal(NULL,NULL,"-sigma1",&sigma1,NULL);
192:     h2      = 1.0/((n+1)*(n+1));
193:     alpha_h = (PETSC_i * 10.0) / (PetscReal)(n+1);  /* alpha_h = alpha * h */
194:     for (Ii=Istart; Ii<Iend; Ii++) {
195:       *val = -1.0; i = Ii/n; j = Ii - i*n;
196:       if (i>0) {
197:         J = Ii-n; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
198:       }
199:       if (i<n-1) {
200:         J = Ii+n; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
201:       }
202:       if (j>0) {
203:         J = Ii-1; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
204:       }
205:       if (j<n-1) {
206:         J = Ii+1; MatSetValues(A,1,&Ii,1,&J,val,ADD_VALUES);
207:       }
208:       *val = 4.0 - sigma1*h2;
209:       if (!((Ii+1)%n)) *val += alpha_h;
210:       MatSetValues(A,1,&Ii,1,&Ii,val,ADD_VALUES);
211:     }
212:   } else SETERRQ(PetscObjectComm((PetscObject)A),1,"FormTestMatrix: unknown test matrix type");

214:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
215:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
216: #endif

218:   return 0;
219: }