xref: /petsc/src/snes/tutorials/ex2.c (revision ffc4695bcb29f4b022f59a5fd6bc99fc280ff6d8)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Newton method to solve u'' + u^{2} = f, sequentially.\n\
3c4762a1bSJed Brown This example employs a user-defined monitoring routine.\n\n";
4c4762a1bSJed Brown 
5c4762a1bSJed Brown /*T
6c4762a1bSJed Brown    Concepts: SNES^basic uniprocessor example
7c4762a1bSJed Brown    Concepts: SNES^setting a user-defined monitoring routine
8c4762a1bSJed Brown    Processors: 1
9c4762a1bSJed Brown T*/
10c4762a1bSJed Brown 
11c4762a1bSJed Brown 
12c4762a1bSJed Brown 
13c4762a1bSJed Brown /*
14c4762a1bSJed Brown    Include "petscdraw.h" so that we can use PETSc drawing routines.
15c4762a1bSJed Brown    Include "petscsnes.h" so that we can use SNES solvers.  Note that this
16c4762a1bSJed Brown    file automatically includes:
17c4762a1bSJed Brown      petscsys.h       - base PETSc routines   petscvec.h - vectors
18c4762a1bSJed Brown      petscmat.h - matrices
19c4762a1bSJed Brown      petscis.h     - index sets            petscksp.h - Krylov subspace methods
20c4762a1bSJed Brown      petscviewer.h - viewers               petscpc.h  - preconditioners
21c4762a1bSJed Brown      petscksp.h   - linear solvers
22c4762a1bSJed Brown */
23c4762a1bSJed Brown 
24c4762a1bSJed Brown #include <petscsnes.h>
25c4762a1bSJed Brown 
26c4762a1bSJed Brown /*
27c4762a1bSJed Brown    User-defined routines
28c4762a1bSJed Brown */
29c4762a1bSJed Brown extern PetscErrorCode FormJacobian(SNES,Vec,Mat,Mat,void*);
30c4762a1bSJed Brown extern PetscErrorCode FormFunction(SNES,Vec,Vec,void*);
31c4762a1bSJed Brown extern PetscErrorCode FormInitialGuess(Vec);
32c4762a1bSJed Brown extern PetscErrorCode Monitor(SNES,PetscInt,PetscReal,void*);
33c4762a1bSJed Brown 
34c4762a1bSJed Brown /*
35c4762a1bSJed Brown    User-defined context for monitoring
36c4762a1bSJed Brown */
37c4762a1bSJed Brown typedef struct {
38c4762a1bSJed Brown   PetscViewer viewer;
39c4762a1bSJed Brown } MonitorCtx;
40c4762a1bSJed Brown 
41c4762a1bSJed Brown int main(int argc,char **argv)
42c4762a1bSJed Brown {
43c4762a1bSJed Brown   SNES           snes;                   /* SNES context */
44c4762a1bSJed Brown   Vec            x,r,F,U;             /* vectors */
45c4762a1bSJed Brown   Mat            J;                      /* Jacobian matrix */
46c4762a1bSJed Brown   MonitorCtx     monP;                   /* monitoring context */
47c4762a1bSJed Brown   PetscErrorCode ierr;
48c4762a1bSJed Brown   PetscInt       its,n = 5,i,maxit,maxf;
49c4762a1bSJed Brown   PetscMPIInt    size;
50c4762a1bSJed Brown   PetscScalar    h,xp,v,none = -1.0;
51c4762a1bSJed Brown   PetscReal      abstol,rtol,stol,norm;
52c4762a1bSJed Brown 
53c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
54*ffc4695bSBarry Smith   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRMPI(ierr);
55c4762a1bSJed Brown   if (size != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"This is a uniprocessor example only!");
56c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);CHKERRQ(ierr);
57c4762a1bSJed Brown   h    = 1.0/(n-1);
58c4762a1bSJed Brown 
59c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
60c4762a1bSJed Brown      Create nonlinear solver context
61c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
62c4762a1bSJed Brown 
63c4762a1bSJed Brown   ierr = SNESCreate(PETSC_COMM_WORLD,&snes);CHKERRQ(ierr);
64c4762a1bSJed Brown 
65c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
66c4762a1bSJed Brown      Create vector data structures; set function evaluation routine
67c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
68c4762a1bSJed Brown   /*
69c4762a1bSJed Brown      Note that we form 1 vector from scratch and then duplicate as needed.
70c4762a1bSJed Brown   */
71c4762a1bSJed Brown   ierr = VecCreate(PETSC_COMM_WORLD,&x);CHKERRQ(ierr);
72c4762a1bSJed Brown   ierr = VecSetSizes(x,PETSC_DECIDE,n);CHKERRQ(ierr);
73c4762a1bSJed Brown   ierr = VecSetFromOptions(x);CHKERRQ(ierr);
74c4762a1bSJed Brown   ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
75c4762a1bSJed Brown   ierr = VecDuplicate(x,&F);CHKERRQ(ierr);
76c4762a1bSJed Brown   ierr = VecDuplicate(x,&U);CHKERRQ(ierr);
77c4762a1bSJed Brown 
78c4762a1bSJed Brown   /*
79c4762a1bSJed Brown      Set function evaluation routine and vector
80c4762a1bSJed Brown   */
81c4762a1bSJed Brown   ierr = SNESSetFunction(snes,r,FormFunction,(void*)F);CHKERRQ(ierr);
82c4762a1bSJed Brown 
83c4762a1bSJed Brown 
84c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
85c4762a1bSJed Brown      Create matrix data structure; set Jacobian evaluation routine
86c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
87c4762a1bSJed Brown 
88c4762a1bSJed Brown   ierr = MatCreate(PETSC_COMM_WORLD,&J);CHKERRQ(ierr);
89c4762a1bSJed Brown   ierr = MatSetSizes(J,PETSC_DECIDE,PETSC_DECIDE,n,n);CHKERRQ(ierr);
90c4762a1bSJed Brown   ierr = MatSetFromOptions(J);CHKERRQ(ierr);
91c4762a1bSJed Brown   ierr = MatSeqAIJSetPreallocation(J,3,NULL);CHKERRQ(ierr);
92c4762a1bSJed Brown 
93c4762a1bSJed Brown   /*
94c4762a1bSJed Brown      Set Jacobian matrix data structure and default Jacobian evaluation
95c4762a1bSJed Brown      routine. User can override with:
96c4762a1bSJed Brown      -snes_fd : default finite differencing approximation of Jacobian
97c4762a1bSJed Brown      -snes_mf : matrix-free Newton-Krylov method with no preconditioning
98c4762a1bSJed Brown                 (unless user explicitly sets preconditioner)
99c4762a1bSJed Brown      -snes_mf_operator : form preconditioning matrix as set by the user,
100c4762a1bSJed Brown                          but use matrix-free approx for Jacobian-vector
101c4762a1bSJed Brown                          products within Newton-Krylov method
102c4762a1bSJed Brown   */
103c4762a1bSJed Brown 
104c4762a1bSJed Brown   ierr = SNESSetJacobian(snes,J,J,FormJacobian,NULL);CHKERRQ(ierr);
105c4762a1bSJed Brown 
106c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
107c4762a1bSJed Brown      Customize nonlinear solver; set runtime options
108c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
109c4762a1bSJed Brown 
110c4762a1bSJed Brown   /*
111c4762a1bSJed Brown      Set an optional user-defined monitoring routine
112c4762a1bSJed Brown   */
113c4762a1bSJed Brown   ierr = PetscViewerDrawOpen(PETSC_COMM_WORLD,0,0,0,0,400,400,&monP.viewer);CHKERRQ(ierr);
114c4762a1bSJed Brown   ierr = SNESMonitorSet(snes,Monitor,&monP,0);CHKERRQ(ierr);
115c4762a1bSJed Brown 
116c4762a1bSJed Brown   /*
117c4762a1bSJed Brown      Set names for some vectors to facilitate monitoring (optional)
118c4762a1bSJed Brown   */
119c4762a1bSJed Brown   ierr = PetscObjectSetName((PetscObject)x,"Approximate Solution");CHKERRQ(ierr);
120c4762a1bSJed Brown   ierr = PetscObjectSetName((PetscObject)U,"Exact Solution");CHKERRQ(ierr);
121c4762a1bSJed Brown 
122c4762a1bSJed Brown   /*
123c4762a1bSJed Brown      Set SNES/KSP/KSP/PC runtime options, e.g.,
124c4762a1bSJed Brown          -snes_view -snes_monitor -ksp_type <ksp> -pc_type <pc>
125c4762a1bSJed Brown   */
126c4762a1bSJed Brown   ierr = SNESSetFromOptions(snes);CHKERRQ(ierr);
127c4762a1bSJed Brown 
128c4762a1bSJed Brown   /*
129c4762a1bSJed Brown      Print parameters used for convergence testing (optional) ... just
130c4762a1bSJed Brown      to demonstrate this routine; this information is also printed with
131c4762a1bSJed Brown      the option -snes_view
132c4762a1bSJed Brown   */
133c4762a1bSJed Brown   ierr = SNESGetTolerances(snes,&abstol,&rtol,&stol,&maxit,&maxf);CHKERRQ(ierr);
134c4762a1bSJed Brown   ierr = PetscPrintf(PETSC_COMM_WORLD,"atol=%g, rtol=%g, stol=%g, maxit=%D, maxf=%D\n",(double)abstol,(double)rtol,(double)stol,maxit,maxf);CHKERRQ(ierr);
135c4762a1bSJed Brown 
136c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
137c4762a1bSJed Brown      Initialize application:
138c4762a1bSJed Brown      Store right-hand-side of PDE and exact solution
139c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
140c4762a1bSJed Brown 
141c4762a1bSJed Brown   xp = 0.0;
142c4762a1bSJed Brown   for (i=0; i<n; i++) {
143c4762a1bSJed Brown     v    = 6.0*xp + PetscPowScalar(xp+1.e-12,6.0); /* +1.e-12 is to prevent 0^6 */
144c4762a1bSJed Brown     ierr = VecSetValues(F,1,&i,&v,INSERT_VALUES);CHKERRQ(ierr);
145c4762a1bSJed Brown     v    = xp*xp*xp;
146c4762a1bSJed Brown     ierr = VecSetValues(U,1,&i,&v,INSERT_VALUES);CHKERRQ(ierr);
147c4762a1bSJed Brown     xp  += h;
148c4762a1bSJed Brown   }
149c4762a1bSJed Brown 
150c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
151c4762a1bSJed Brown      Evaluate initial guess; then solve nonlinear system
152c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
153c4762a1bSJed Brown   /*
154c4762a1bSJed Brown      Note: The user should initialize the vector, x, with the initial guess
155c4762a1bSJed Brown      for the nonlinear solver prior to calling SNESSolve().  In particular,
156c4762a1bSJed Brown      to employ an initial guess of zero, the user should explicitly set
157c4762a1bSJed Brown      this vector to zero by calling VecSet().
158c4762a1bSJed Brown   */
159c4762a1bSJed Brown   ierr = FormInitialGuess(x);CHKERRQ(ierr);
160c4762a1bSJed Brown   ierr = SNESSolve(snes,NULL,x);CHKERRQ(ierr);
161c4762a1bSJed Brown   ierr = SNESGetIterationNumber(snes,&its);CHKERRQ(ierr);
162c4762a1bSJed Brown   ierr = PetscPrintf(PETSC_COMM_WORLD,"number of SNES iterations = %D\n\n",its);CHKERRQ(ierr);
163c4762a1bSJed Brown 
164c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
165c4762a1bSJed Brown      Check solution and clean up
166c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
167c4762a1bSJed Brown 
168c4762a1bSJed Brown   /*
169c4762a1bSJed Brown      Check the error
170c4762a1bSJed Brown   */
171c4762a1bSJed Brown   ierr = VecAXPY(x,none,U);CHKERRQ(ierr);
172c4762a1bSJed Brown   ierr = VecNorm(x,NORM_2,&norm);CHKERRQ(ierr);
173c4762a1bSJed Brown   ierr = PetscPrintf(PETSC_COMM_WORLD,"Norm of error %g, Iterations %D\n",(double)norm,its);CHKERRQ(ierr);
174c4762a1bSJed Brown 
175c4762a1bSJed Brown 
176c4762a1bSJed Brown   /*
177c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they
178c4762a1bSJed Brown      are no longer needed.
179c4762a1bSJed Brown   */
180c4762a1bSJed Brown   ierr = VecDestroy(&x);CHKERRQ(ierr);  ierr = VecDestroy(&r);CHKERRQ(ierr);
181c4762a1bSJed Brown   ierr = VecDestroy(&U);CHKERRQ(ierr);  ierr = VecDestroy(&F);CHKERRQ(ierr);
182c4762a1bSJed Brown   ierr = MatDestroy(&J);CHKERRQ(ierr);  ierr = SNESDestroy(&snes);CHKERRQ(ierr);
183c4762a1bSJed Brown   ierr = PetscViewerDestroy(&monP.viewer);CHKERRQ(ierr);
184c4762a1bSJed Brown   ierr = PetscFinalize();
185c4762a1bSJed Brown   return ierr;
186c4762a1bSJed Brown }
187c4762a1bSJed Brown /* ------------------------------------------------------------------- */
188c4762a1bSJed Brown /*
189c4762a1bSJed Brown    FormInitialGuess - Computes initial guess.
190c4762a1bSJed Brown 
191c4762a1bSJed Brown    Input/Output Parameter:
192c4762a1bSJed Brown .  x - the solution vector
193c4762a1bSJed Brown */
194c4762a1bSJed Brown PetscErrorCode FormInitialGuess(Vec x)
195c4762a1bSJed Brown {
196c4762a1bSJed Brown   PetscErrorCode ierr;
197c4762a1bSJed Brown   PetscScalar    pfive = .50;
198c4762a1bSJed Brown   ierr = VecSet(x,pfive);CHKERRQ(ierr);
199c4762a1bSJed Brown   return 0;
200c4762a1bSJed Brown }
201c4762a1bSJed Brown /* ------------------------------------------------------------------- */
202c4762a1bSJed Brown /*
203c4762a1bSJed Brown    FormFunction - Evaluates nonlinear function, F(x).
204c4762a1bSJed Brown 
205c4762a1bSJed Brown    Input Parameters:
206c4762a1bSJed Brown .  snes - the SNES context
207c4762a1bSJed Brown .  x - input vector
208c4762a1bSJed Brown .  ctx - optional user-defined context, as set by SNESSetFunction()
209c4762a1bSJed Brown 
210c4762a1bSJed Brown    Output Parameter:
211c4762a1bSJed Brown .  f - function vector
212c4762a1bSJed Brown 
213c4762a1bSJed Brown    Note:
214c4762a1bSJed Brown    The user-defined context can contain any application-specific data
215c4762a1bSJed Brown    needed for the function evaluation (such as various parameters, work
216c4762a1bSJed Brown    vectors, and grid information).  In this program the context is just
217c4762a1bSJed Brown    a vector containing the right-hand-side of the discretized PDE.
218c4762a1bSJed Brown  */
219c4762a1bSJed Brown 
220c4762a1bSJed Brown PetscErrorCode FormFunction(SNES snes,Vec x,Vec f,void *ctx)
221c4762a1bSJed Brown {
222c4762a1bSJed Brown   Vec               g = (Vec)ctx;
223c4762a1bSJed Brown   const PetscScalar *xx,*gg;
224c4762a1bSJed Brown   PetscScalar       *ff,d;
225c4762a1bSJed Brown   PetscErrorCode    ierr;
226c4762a1bSJed Brown   PetscInt          i,n;
227c4762a1bSJed Brown 
228c4762a1bSJed Brown   /*
229c4762a1bSJed Brown      Get pointers to vector data.
230c4762a1bSJed Brown        - For default PETSc vectors, VecGetArray() returns a pointer to
231c4762a1bSJed Brown          the data array.  Otherwise, the routine is implementation dependent.
232c4762a1bSJed Brown        - You MUST call VecRestoreArray() when you no longer need access to
233c4762a1bSJed Brown          the array.
234c4762a1bSJed Brown   */
235c4762a1bSJed Brown   ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr);
236c4762a1bSJed Brown   ierr = VecGetArray(f,&ff);CHKERRQ(ierr);
237c4762a1bSJed Brown   ierr = VecGetArrayRead(g,&gg);CHKERRQ(ierr);
238c4762a1bSJed Brown 
239c4762a1bSJed Brown   /*
240c4762a1bSJed Brown      Compute function
241c4762a1bSJed Brown   */
242c4762a1bSJed Brown   ierr  = VecGetSize(x,&n);CHKERRQ(ierr);
243c4762a1bSJed Brown   d     = (PetscReal)(n - 1); d = d*d;
244c4762a1bSJed Brown   ff[0] = xx[0];
245c4762a1bSJed Brown   for (i=1; i<n-1; i++) ff[i] = d*(xx[i-1] - 2.0*xx[i] + xx[i+1]) + xx[i]*xx[i] - gg[i];
246c4762a1bSJed Brown   ff[n-1] = xx[n-1] - 1.0;
247c4762a1bSJed Brown 
248c4762a1bSJed Brown   /*
249c4762a1bSJed Brown      Restore vectors
250c4762a1bSJed Brown   */
251c4762a1bSJed Brown   ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr);
252c4762a1bSJed Brown   ierr = VecRestoreArray(f,&ff);CHKERRQ(ierr);
253c4762a1bSJed Brown   ierr = VecRestoreArrayRead(g,&gg);CHKERRQ(ierr);
254c4762a1bSJed Brown   return 0;
255c4762a1bSJed Brown }
256c4762a1bSJed Brown /* ------------------------------------------------------------------- */
257c4762a1bSJed Brown /*
258c4762a1bSJed Brown    FormJacobian - Evaluates Jacobian matrix.
259c4762a1bSJed Brown 
260c4762a1bSJed Brown    Input Parameters:
261c4762a1bSJed Brown .  snes - the SNES context
262c4762a1bSJed Brown .  x - input vector
263c4762a1bSJed Brown .  dummy - optional user-defined context (not used here)
264c4762a1bSJed Brown 
265c4762a1bSJed Brown    Output Parameters:
266c4762a1bSJed Brown .  jac - Jacobian matrix
267c4762a1bSJed Brown .  B - optionally different preconditioning matrix
268c4762a1bSJed Brown 
269c4762a1bSJed Brown */
270c4762a1bSJed Brown 
271c4762a1bSJed Brown PetscErrorCode FormJacobian(SNES snes,Vec x,Mat jac,Mat B,void *dummy)
272c4762a1bSJed Brown {
273c4762a1bSJed Brown   const PetscScalar *xx;
274c4762a1bSJed Brown   PetscScalar       A[3],d;
275c4762a1bSJed Brown   PetscErrorCode    ierr;
276c4762a1bSJed Brown   PetscInt          i,n,j[3];
277c4762a1bSJed Brown 
278c4762a1bSJed Brown   /*
279c4762a1bSJed Brown      Get pointer to vector data
280c4762a1bSJed Brown   */
281c4762a1bSJed Brown   ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr);
282c4762a1bSJed Brown 
283c4762a1bSJed Brown   /*
284c4762a1bSJed Brown      Compute Jacobian entries and insert into matrix.
285c4762a1bSJed Brown       - Note that in this case we set all elements for a particular
286c4762a1bSJed Brown         row at once.
287c4762a1bSJed Brown   */
288c4762a1bSJed Brown   ierr = VecGetSize(x,&n);CHKERRQ(ierr);
289c4762a1bSJed Brown   d    = (PetscReal)(n - 1); d = d*d;
290c4762a1bSJed Brown 
291c4762a1bSJed Brown   /*
292c4762a1bSJed Brown      Interior grid points
293c4762a1bSJed Brown   */
294c4762a1bSJed Brown   for (i=1; i<n-1; i++) {
295c4762a1bSJed Brown     j[0] = i - 1; j[1] = i; j[2] = i + 1;
296c4762a1bSJed Brown     A[0] = A[2] = d; A[1] = -2.0*d + 2.0*xx[i];
297c4762a1bSJed Brown     ierr = MatSetValues(B,1,&i,3,j,A,INSERT_VALUES);CHKERRQ(ierr);
298c4762a1bSJed Brown   }
299c4762a1bSJed Brown 
300c4762a1bSJed Brown   /*
301c4762a1bSJed Brown      Boundary points
302c4762a1bSJed Brown   */
303c4762a1bSJed Brown   i = 0;   A[0] = 1.0;
304c4762a1bSJed Brown 
305c4762a1bSJed Brown   ierr = MatSetValues(B,1,&i,1,&i,A,INSERT_VALUES);CHKERRQ(ierr);
306c4762a1bSJed Brown 
307c4762a1bSJed Brown   i = n-1; A[0] = 1.0;
308c4762a1bSJed Brown 
309c4762a1bSJed Brown   ierr = MatSetValues(B,1,&i,1,&i,A,INSERT_VALUES);CHKERRQ(ierr);
310c4762a1bSJed Brown 
311c4762a1bSJed Brown   /*
312c4762a1bSJed Brown      Restore vector
313c4762a1bSJed Brown   */
314c4762a1bSJed Brown   ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr);
315c4762a1bSJed Brown 
316c4762a1bSJed Brown   /*
317c4762a1bSJed Brown      Assemble matrix
318c4762a1bSJed Brown   */
319c4762a1bSJed Brown   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
320c4762a1bSJed Brown   ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
321c4762a1bSJed Brown   if (jac != B) {
322c4762a1bSJed Brown     ierr = MatAssemblyBegin(jac,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
323c4762a1bSJed Brown     ierr = MatAssemblyEnd(jac,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
324c4762a1bSJed Brown   }
325c4762a1bSJed Brown   return 0;
326c4762a1bSJed Brown }
327c4762a1bSJed Brown /* ------------------------------------------------------------------- */
328c4762a1bSJed Brown /*
329c4762a1bSJed Brown    Monitor - User-defined monitoring routine that views the
330c4762a1bSJed Brown    current iterate with an x-window plot.
331c4762a1bSJed Brown 
332c4762a1bSJed Brown    Input Parameters:
333c4762a1bSJed Brown    snes - the SNES context
334c4762a1bSJed Brown    its - iteration number
335c4762a1bSJed Brown    norm - 2-norm function value (may be estimated)
336c4762a1bSJed Brown    ctx - optional user-defined context for private data for the
337c4762a1bSJed Brown          monitor routine, as set by SNESMonitorSet()
338c4762a1bSJed Brown 
339c4762a1bSJed Brown    Note:
340c4762a1bSJed Brown    See the manpage for PetscViewerDrawOpen() for useful runtime options,
341c4762a1bSJed Brown    such as -nox to deactivate all x-window output.
342c4762a1bSJed Brown  */
343c4762a1bSJed Brown PetscErrorCode Monitor(SNES snes,PetscInt its,PetscReal fnorm,void *ctx)
344c4762a1bSJed Brown {
345c4762a1bSJed Brown   PetscErrorCode ierr;
346c4762a1bSJed Brown   MonitorCtx     *monP = (MonitorCtx*) ctx;
347c4762a1bSJed Brown   Vec            x;
348c4762a1bSJed Brown 
349c4762a1bSJed Brown   ierr = PetscPrintf(PETSC_COMM_WORLD,"iter = %D, SNES Function norm %g\n",its,(double)fnorm);CHKERRQ(ierr);
350c4762a1bSJed Brown   ierr = SNESGetSolution(snes,&x);CHKERRQ(ierr);
351c4762a1bSJed Brown   ierr = VecView(x,monP->viewer);CHKERRQ(ierr);
352c4762a1bSJed Brown   return 0;
353c4762a1bSJed Brown }
354c4762a1bSJed Brown 
355c4762a1bSJed Brown 
356c4762a1bSJed Brown /*TEST
357c4762a1bSJed Brown 
358c4762a1bSJed Brown    test:
359c4762a1bSJed Brown       args: -nox -snes_monitor_cancel -snes_monitor_short -snes_view -pc_type jacobi -ksp_gmres_cgs_refinement_type refine_always
360c4762a1bSJed Brown 
361c4762a1bSJed Brown    test:
362c4762a1bSJed Brown       suffix: 2
363c4762a1bSJed Brown       args: -nox -snes_monitor_cancel -snes_monitor_short -snes_type newtontr -snes_view
364c4762a1bSJed Brown       requires: !single
365c4762a1bSJed Brown 
366c4762a1bSJed Brown    test:
367c4762a1bSJed Brown       suffix: 3
368c4762a1bSJed Brown       args: -nox -malloc no -options_left no -snes_monitor_cancel -snes_monitor_short -snes_view -pc_type jacobi -ksp_gmres_cgs_refinement_type refine_always
369c4762a1bSJed Brown 
370c4762a1bSJed Brown TEST*/
371