xref: /petsc/src/ts/tutorials/phasefield/biharmonic2.c (revision c4762a1b19cd2af06abeed90e8f9d34fb975dd94)
1*c4762a1bSJed Brown 
2*c4762a1bSJed Brown static char help[] = "Solves biharmonic equation in 1d.\n";
3*c4762a1bSJed Brown 
4*c4762a1bSJed Brown /*
5*c4762a1bSJed Brown   Solves the equation biharmonic equation in split form
6*c4762a1bSJed Brown 
7*c4762a1bSJed Brown     w = -kappa \Delta u
8*c4762a1bSJed Brown     u_t =  \Delta w
9*c4762a1bSJed Brown     -1  <= u <= 1
10*c4762a1bSJed Brown     Periodic boundary conditions
11*c4762a1bSJed Brown 
12*c4762a1bSJed Brown Evolve the biharmonic heat equation with bounds:  (same as biharmonic)
13*c4762a1bSJed Brown ---------------
14*c4762a1bSJed Brown ./biharmonic2 -ts_monitor -snes_monitor -ts_monitor_draw_solution  -pc_type lu  -draw_pause .1 -snes_converged_reason  -ts_type beuler  -da_refine 5 -draw_fields 1 -ts_dt 9.53674e-9
15*c4762a1bSJed Brown 
16*c4762a1bSJed Brown     w = -kappa \Delta u  + u^3  - u
17*c4762a1bSJed Brown     u_t =  \Delta w
18*c4762a1bSJed Brown     -1  <= u <= 1
19*c4762a1bSJed Brown     Periodic boundary conditions
20*c4762a1bSJed Brown 
21*c4762a1bSJed Brown Evolve the Cahn-Hillard equations: (this fails after a few timesteps 12/17/2017)
22*c4762a1bSJed Brown ---------------
23*c4762a1bSJed Brown ./biharmonic2 -ts_monitor -snes_monitor -ts_monitor_draw_solution  -pc_type lu  -draw_pause .1 -snes_converged_reason   -ts_type beuler    -da_refine 6  -draw_fields 1  -kappa .00001 -ts_dt 5.96046e-06 -cahn-hillard
24*c4762a1bSJed Brown 
25*c4762a1bSJed Brown 
26*c4762a1bSJed Brown */
27*c4762a1bSJed Brown #include <petscdm.h>
28*c4762a1bSJed Brown #include <petscdmda.h>
29*c4762a1bSJed Brown #include <petscts.h>
30*c4762a1bSJed Brown #include <petscdraw.h>
31*c4762a1bSJed Brown 
32*c4762a1bSJed Brown /*
33*c4762a1bSJed Brown    User-defined routines
34*c4762a1bSJed Brown */
35*c4762a1bSJed Brown extern PetscErrorCode FormFunction(TS,PetscReal,Vec,Vec,Vec,void*),FormInitialSolution(DM,Vec,PetscReal);
36*c4762a1bSJed Brown typedef struct {PetscBool cahnhillard;PetscReal kappa;PetscInt energy;PetscReal tol;PetscReal theta;PetscReal theta_c;} UserCtx;
37*c4762a1bSJed Brown 
38*c4762a1bSJed Brown int main(int argc,char **argv)
39*c4762a1bSJed Brown {
40*c4762a1bSJed Brown   TS             ts;                           /* nonlinear solver */
41*c4762a1bSJed Brown   Vec            x,r;                          /* solution, residual vectors */
42*c4762a1bSJed Brown   Mat            J;                            /* Jacobian matrix */
43*c4762a1bSJed Brown   PetscInt       steps,Mx;
44*c4762a1bSJed Brown   PetscErrorCode ierr;
45*c4762a1bSJed Brown   DM             da;
46*c4762a1bSJed Brown   MatFDColoring  matfdcoloring;
47*c4762a1bSJed Brown   ISColoring     iscoloring;
48*c4762a1bSJed Brown   PetscReal      dt;
49*c4762a1bSJed Brown   PetscReal      vbounds[] = {-100000,100000,-1.1,1.1};
50*c4762a1bSJed Brown   SNES           snes;
51*c4762a1bSJed Brown   UserCtx        ctx;
52*c4762a1bSJed Brown 
53*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
54*c4762a1bSJed Brown      Initialize program
55*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
56*c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
57*c4762a1bSJed Brown   ctx.kappa = 1.0;
58*c4762a1bSJed Brown   ierr = PetscOptionsGetReal(NULL,NULL,"-kappa",&ctx.kappa,NULL);CHKERRQ(ierr);
59*c4762a1bSJed Brown   ctx.cahnhillard = PETSC_FALSE;
60*c4762a1bSJed Brown 
61*c4762a1bSJed Brown   ierr = PetscOptionsGetBool(NULL,NULL,"-cahn-hillard",&ctx.cahnhillard,NULL);CHKERRQ(ierr);
62*c4762a1bSJed Brown   ierr = PetscViewerDrawSetBounds(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),2,vbounds);CHKERRQ(ierr);
63*c4762a1bSJed Brown   ierr = PetscViewerDrawResize(PETSC_VIEWER_DRAW_(PETSC_COMM_WORLD),600,600);CHKERRQ(ierr);
64*c4762a1bSJed Brown   ctx.energy = 1;
65*c4762a1bSJed Brown   /*ierr = PetscOptionsGetInt(NULL,NULL,"-energy",&ctx.energy,NULL);CHKERRQ(ierr);*/
66*c4762a1bSJed Brown   ierr        = PetscOptionsGetInt(NULL,NULL,"-energy",&ctx.energy,NULL);CHKERRQ(ierr);
67*c4762a1bSJed Brown   ctx.tol     = 1.0e-8;
68*c4762a1bSJed Brown   ierr        = PetscOptionsGetReal(NULL,NULL,"-tol",&ctx.tol,NULL);CHKERRQ(ierr);
69*c4762a1bSJed Brown   ctx.theta   = .001;
70*c4762a1bSJed Brown   ctx.theta_c = 1.0;
71*c4762a1bSJed Brown   ierr        = PetscOptionsGetReal(NULL,NULL,"-theta",&ctx.theta,NULL);CHKERRQ(ierr);
72*c4762a1bSJed Brown   ierr        = PetscOptionsGetReal(NULL,NULL,"-theta_c",&ctx.theta_c,NULL);CHKERRQ(ierr);
73*c4762a1bSJed Brown 
74*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
75*c4762a1bSJed Brown      Create distributed array (DMDA) to manage parallel grid and vectors
76*c4762a1bSJed Brown   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
77*c4762a1bSJed Brown   ierr = DMDACreate1d(PETSC_COMM_WORLD, DM_BOUNDARY_PERIODIC, 10,2,2,NULL,&da);CHKERRQ(ierr);
78*c4762a1bSJed Brown   ierr = DMSetFromOptions(da);CHKERRQ(ierr);
79*c4762a1bSJed Brown   ierr = DMSetUp(da);CHKERRQ(ierr);
80*c4762a1bSJed Brown   ierr = DMDASetFieldName(da,0,"Biharmonic heat equation: w = -kappa*u_xx");CHKERRQ(ierr);
81*c4762a1bSJed Brown   ierr = DMDASetFieldName(da,1,"Biharmonic heat equation: u");CHKERRQ(ierr);
82*c4762a1bSJed Brown   ierr = DMDAGetInfo(da,0,&Mx,0,0,0,0,0,0,0,0,0,0,0);CHKERRQ(ierr);
83*c4762a1bSJed Brown   dt   = 1.0/(10.*ctx.kappa*Mx*Mx*Mx*Mx);
84*c4762a1bSJed Brown 
85*c4762a1bSJed Brown   /*  - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
86*c4762a1bSJed Brown      Extract global vectors from DMDA; then duplicate for remaining
87*c4762a1bSJed Brown      vectors that are the same types
88*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
89*c4762a1bSJed Brown   ierr = DMCreateGlobalVector(da,&x);CHKERRQ(ierr);
90*c4762a1bSJed Brown   ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
91*c4762a1bSJed Brown 
92*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
93*c4762a1bSJed Brown      Create timestepping solver context
94*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
95*c4762a1bSJed Brown   ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
96*c4762a1bSJed Brown   ierr = TSSetDM(ts,da);CHKERRQ(ierr);
97*c4762a1bSJed Brown   ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
98*c4762a1bSJed Brown   ierr = TSSetIFunction(ts,NULL,FormFunction,&ctx);CHKERRQ(ierr);
99*c4762a1bSJed Brown   ierr = TSSetMaxTime(ts,.02);CHKERRQ(ierr);
100*c4762a1bSJed Brown   ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_INTERPOLATE);CHKERRQ(ierr);
101*c4762a1bSJed Brown 
102*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
103*c4762a1bSJed Brown      Create matrix data structure; set Jacobian evaluation routine
104*c4762a1bSJed Brown 
105*c4762a1bSJed Brown <     Set Jacobian matrix data structure and default Jacobian evaluation
106*c4762a1bSJed Brown      routine. User can override with:
107*c4762a1bSJed Brown      -snes_mf : matrix-free Newton-Krylov method with no preconditioning
108*c4762a1bSJed Brown                 (unless user explicitly sets preconditioner)
109*c4762a1bSJed Brown      -snes_mf_operator : form preconditioning matrix as set by the user,
110*c4762a1bSJed Brown                          but use matrix-free approx for Jacobian-vector
111*c4762a1bSJed Brown                          products within Newton-Krylov method
112*c4762a1bSJed Brown 
113*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
114*c4762a1bSJed Brown   ierr = TSGetSNES(ts,&snes);CHKERRQ(ierr);
115*c4762a1bSJed Brown   ierr = DMCreateColoring(da,IS_COLORING_GLOBAL,&iscoloring);CHKERRQ(ierr);
116*c4762a1bSJed Brown   ierr = DMSetMatType(da,MATAIJ);CHKERRQ(ierr);
117*c4762a1bSJed Brown   ierr = DMCreateMatrix(da,&J);CHKERRQ(ierr);
118*c4762a1bSJed Brown   ierr = MatFDColoringCreate(J,iscoloring,&matfdcoloring);CHKERRQ(ierr);
119*c4762a1bSJed Brown   ierr = MatFDColoringSetFunction(matfdcoloring,(PetscErrorCode (*)(void))SNESTSFormFunction,ts);CHKERRQ(ierr);
120*c4762a1bSJed Brown   ierr = MatFDColoringSetFromOptions(matfdcoloring);CHKERRQ(ierr);
121*c4762a1bSJed Brown   ierr = MatFDColoringSetUp(J,iscoloring,matfdcoloring);CHKERRQ(ierr);
122*c4762a1bSJed Brown   ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr);
123*c4762a1bSJed Brown   ierr = SNESSetJacobian(snes,J,J,SNESComputeJacobianDefaultColor,matfdcoloring);CHKERRQ(ierr);
124*c4762a1bSJed Brown 
125*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
126*c4762a1bSJed Brown      Customize nonlinear solver
127*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
128*c4762a1bSJed Brown   ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr);
129*c4762a1bSJed Brown 
130*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
131*c4762a1bSJed Brown      Set initial conditions
132*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
133*c4762a1bSJed Brown   ierr = FormInitialSolution(da,x,ctx.kappa);CHKERRQ(ierr);
134*c4762a1bSJed Brown   ierr = TSSetTimeStep(ts,dt);CHKERRQ(ierr);
135*c4762a1bSJed Brown   ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
136*c4762a1bSJed Brown 
137*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
138*c4762a1bSJed Brown      Set runtime options
139*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
140*c4762a1bSJed Brown   ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
141*c4762a1bSJed Brown 
142*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
143*c4762a1bSJed Brown      Solve nonlinear system
144*c4762a1bSJed Brown      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
145*c4762a1bSJed Brown   ierr = TSSolve(ts,x);CHKERRQ(ierr);
146*c4762a1bSJed Brown   ierr = TSGetStepNumber(ts,&steps);CHKERRQ(ierr);
147*c4762a1bSJed Brown 
148*c4762a1bSJed Brown   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
149*c4762a1bSJed Brown      Free work space.  All PETSc objects should be destroyed when they
150*c4762a1bSJed Brown      are no longer needed.
151*c4762a1bSJed Brown    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
152*c4762a1bSJed Brown   ierr = MatDestroy(&J);CHKERRQ(ierr);
153*c4762a1bSJed Brown   ierr = MatFDColoringDestroy(&matfdcoloring);CHKERRQ(ierr);
154*c4762a1bSJed Brown   ierr = VecDestroy(&x);CHKERRQ(ierr);
155*c4762a1bSJed Brown   ierr = VecDestroy(&r);CHKERRQ(ierr);
156*c4762a1bSJed Brown   ierr = TSDestroy(&ts);CHKERRQ(ierr);
157*c4762a1bSJed Brown   ierr = DMDestroy(&da);CHKERRQ(ierr);
158*c4762a1bSJed Brown 
159*c4762a1bSJed Brown   ierr = PetscFinalize();
160*c4762a1bSJed Brown   return ierr;
161*c4762a1bSJed Brown }
162*c4762a1bSJed Brown 
163*c4762a1bSJed Brown typedef struct {PetscScalar w,u;} Field;
164*c4762a1bSJed Brown /* ------------------------------------------------------------------- */
165*c4762a1bSJed Brown /*
166*c4762a1bSJed Brown    FormFunction - Evaluates nonlinear function, F(x).
167*c4762a1bSJed Brown 
168*c4762a1bSJed Brown    Input Parameters:
169*c4762a1bSJed Brown .  ts - the TS context
170*c4762a1bSJed Brown .  X - input vector
171*c4762a1bSJed Brown .  ptr - optional user-defined context, as set by SNESSetFunction()
172*c4762a1bSJed Brown 
173*c4762a1bSJed Brown    Output Parameter:
174*c4762a1bSJed Brown .  F - function vector
175*c4762a1bSJed Brown  */
176*c4762a1bSJed Brown PetscErrorCode FormFunction(TS ts,PetscReal ftime,Vec X,Vec Xdot,Vec F,void *ptr)
177*c4762a1bSJed Brown {
178*c4762a1bSJed Brown   DM             da;
179*c4762a1bSJed Brown   PetscErrorCode ierr;
180*c4762a1bSJed Brown   PetscInt       i,Mx,xs,xm;
181*c4762a1bSJed Brown   PetscReal      hx,sx;
182*c4762a1bSJed Brown   Field          *x,*xdot,*f;
183*c4762a1bSJed Brown   Vec            localX,localXdot;
184*c4762a1bSJed Brown   UserCtx        *ctx = (UserCtx*)ptr;
185*c4762a1bSJed Brown 
186*c4762a1bSJed Brown   PetscFunctionBegin;
187*c4762a1bSJed Brown   ierr = TSGetDM(ts,&da);CHKERRQ(ierr);
188*c4762a1bSJed Brown   ierr = DMGetLocalVector(da,&localX);CHKERRQ(ierr);
189*c4762a1bSJed Brown   ierr = DMGetLocalVector(da,&localXdot);CHKERRQ(ierr);
190*c4762a1bSJed Brown   ierr = DMDAGetInfo(da,PETSC_IGNORE,&Mx,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE);CHKERRQ(ierr);
191*c4762a1bSJed Brown 
192*c4762a1bSJed Brown   hx = 1.0/(PetscReal)Mx; sx = 1.0/(hx*hx);
193*c4762a1bSJed Brown 
194*c4762a1bSJed Brown   /*
195*c4762a1bSJed Brown      Scatter ghost points to local vector,using the 2-step process
196*c4762a1bSJed Brown         DMGlobalToLocalBegin(),DMGlobalToLocalEnd().
197*c4762a1bSJed Brown      By placing code between these two statements, computations can be
198*c4762a1bSJed Brown      done while messages are in transition.
199*c4762a1bSJed Brown   */
200*c4762a1bSJed Brown   ierr = DMGlobalToLocalBegin(da,X,INSERT_VALUES,localX);CHKERRQ(ierr);
201*c4762a1bSJed Brown   ierr = DMGlobalToLocalEnd(da,X,INSERT_VALUES,localX);CHKERRQ(ierr);
202*c4762a1bSJed Brown   ierr = DMGlobalToLocalBegin(da,Xdot,INSERT_VALUES,localXdot);CHKERRQ(ierr);
203*c4762a1bSJed Brown   ierr = DMGlobalToLocalEnd(da,Xdot,INSERT_VALUES,localXdot);CHKERRQ(ierr);
204*c4762a1bSJed Brown 
205*c4762a1bSJed Brown   /*
206*c4762a1bSJed Brown      Get pointers to vector data
207*c4762a1bSJed Brown   */
208*c4762a1bSJed Brown   ierr = DMDAVecGetArrayRead(da,localX,&x);CHKERRQ(ierr);
209*c4762a1bSJed Brown   ierr = DMDAVecGetArrayRead(da,localXdot,&xdot);CHKERRQ(ierr);
210*c4762a1bSJed Brown   ierr = DMDAVecGetArray(da,F,&f);CHKERRQ(ierr);
211*c4762a1bSJed Brown 
212*c4762a1bSJed Brown   /*
213*c4762a1bSJed Brown      Get local grid boundaries
214*c4762a1bSJed Brown   */
215*c4762a1bSJed Brown   ierr = DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL);CHKERRQ(ierr);
216*c4762a1bSJed Brown 
217*c4762a1bSJed Brown   /*
218*c4762a1bSJed Brown      Compute function over the locally owned part of the grid
219*c4762a1bSJed Brown   */
220*c4762a1bSJed Brown   for (i=xs; i<xs+xm; i++) {
221*c4762a1bSJed Brown     f[i].w =  x[i].w + ctx->kappa*(x[i-1].u + x[i+1].u - 2.0*x[i].u)*sx;
222*c4762a1bSJed Brown     if (ctx->cahnhillard) {
223*c4762a1bSJed Brown       switch (ctx->energy) {
224*c4762a1bSJed Brown       case 1: /* double well */
225*c4762a1bSJed Brown         f[i].w += -x[i].u*x[i].u*x[i].u + x[i].u;
226*c4762a1bSJed Brown         break;
227*c4762a1bSJed Brown       case 2: /* double obstacle */
228*c4762a1bSJed Brown         f[i].w += x[i].u;
229*c4762a1bSJed Brown         break;
230*c4762a1bSJed Brown       case 3: /* logarithmic */
231*c4762a1bSJed Brown         if (PetscRealPart(x[i].u) < -1.0 + 2.0*ctx->tol)     f[i].w += .5*ctx->theta*(-PetscLogReal(ctx->tol) + PetscLogScalar((1.0-x[i].u)/2.0)) + ctx->theta_c*x[i].u;
232*c4762a1bSJed Brown         else if (PetscRealPart(x[i].u) > 1.0 - 2.0*ctx->tol) f[i].w += .5*ctx->theta*(-PetscLogScalar((1.0+x[i].u)/2.0) + PetscLogReal(ctx->tol)) + ctx->theta_c*x[i].u;
233*c4762a1bSJed Brown         else                                                 f[i].w += .5*ctx->theta*(-PetscLogScalar((1.0+x[i].u)/2.0) + PetscLogScalar((1.0-x[i].u)/2.0)) + ctx->theta_c*x[i].u;
234*c4762a1bSJed Brown         break;
235*c4762a1bSJed Brown       }
236*c4762a1bSJed Brown     }
237*c4762a1bSJed Brown     f[i].u = xdot[i].u - (x[i-1].w + x[i+1].w - 2.0*x[i].w)*sx;
238*c4762a1bSJed Brown   }
239*c4762a1bSJed Brown 
240*c4762a1bSJed Brown   /*
241*c4762a1bSJed Brown      Restore vectors
242*c4762a1bSJed Brown   */
243*c4762a1bSJed Brown   ierr = DMDAVecRestoreArrayRead(da,localXdot,&xdot);CHKERRQ(ierr);
244*c4762a1bSJed Brown   ierr = DMDAVecRestoreArrayRead(da,localX,&x);CHKERRQ(ierr);
245*c4762a1bSJed Brown   ierr = DMDAVecRestoreArray(da,F,&f);CHKERRQ(ierr);
246*c4762a1bSJed Brown   ierr = DMRestoreLocalVector(da,&localX);CHKERRQ(ierr);
247*c4762a1bSJed Brown   ierr = DMRestoreLocalVector(da,&localXdot);CHKERRQ(ierr);
248*c4762a1bSJed Brown   PetscFunctionReturn(0);
249*c4762a1bSJed Brown }
250*c4762a1bSJed Brown 
251*c4762a1bSJed Brown /* ------------------------------------------------------------------- */
252*c4762a1bSJed Brown PetscErrorCode FormInitialSolution(DM da,Vec X,PetscReal kappa)
253*c4762a1bSJed Brown {
254*c4762a1bSJed Brown   PetscErrorCode ierr;
255*c4762a1bSJed Brown   PetscInt       i,xs,xm,Mx,xgs,xgm;
256*c4762a1bSJed Brown   Field          *x;
257*c4762a1bSJed Brown   PetscReal      hx,xx,r,sx;
258*c4762a1bSJed Brown   Vec            Xg;
259*c4762a1bSJed Brown 
260*c4762a1bSJed Brown   PetscFunctionBegin;
261*c4762a1bSJed Brown   ierr = DMDAGetInfo(da,PETSC_IGNORE,&Mx,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE);CHKERRQ(ierr);
262*c4762a1bSJed Brown 
263*c4762a1bSJed Brown   hx = 1.0/(PetscReal)Mx;
264*c4762a1bSJed Brown   sx = 1.0/(hx*hx);
265*c4762a1bSJed Brown 
266*c4762a1bSJed Brown   /*
267*c4762a1bSJed Brown      Get pointers to vector data
268*c4762a1bSJed Brown   */
269*c4762a1bSJed Brown   ierr = DMCreateLocalVector(da,&Xg);CHKERRQ(ierr);
270*c4762a1bSJed Brown   ierr = DMDAVecGetArray(da,Xg,&x);CHKERRQ(ierr);
271*c4762a1bSJed Brown 
272*c4762a1bSJed Brown   /*
273*c4762a1bSJed Brown      Get local grid boundaries
274*c4762a1bSJed Brown   */
275*c4762a1bSJed Brown   ierr = DMDAGetCorners(da,&xs,NULL,NULL,&xm,NULL,NULL);CHKERRQ(ierr);
276*c4762a1bSJed Brown   ierr = DMDAGetGhostCorners(da,&xgs,NULL,NULL,&xgm,NULL,NULL);CHKERRQ(ierr);
277*c4762a1bSJed Brown 
278*c4762a1bSJed Brown   /*
279*c4762a1bSJed Brown      Compute u function over the locally owned part of the grid including ghost points
280*c4762a1bSJed Brown   */
281*c4762a1bSJed Brown   for (i=xgs; i<xgs+xgm; i++) {
282*c4762a1bSJed Brown     xx = i*hx;
283*c4762a1bSJed Brown     r = PetscSqrtReal((xx-.5)*(xx-.5));
284*c4762a1bSJed Brown     if (r < .125) x[i].u = 1.0;
285*c4762a1bSJed Brown     else          x[i].u = -.50;
286*c4762a1bSJed Brown     /* fill in x[i].w so that valgrind doesn't detect use of uninitialized memory */
287*c4762a1bSJed Brown     x[i].w = 0;
288*c4762a1bSJed Brown   }
289*c4762a1bSJed Brown   for (i=xs; i<xs+xm; i++) x[i].w = -kappa*(x[i-1].u + x[i+1].u - 2.0*x[i].u)*sx;
290*c4762a1bSJed Brown 
291*c4762a1bSJed Brown   /*
292*c4762a1bSJed Brown      Restore vectors
293*c4762a1bSJed Brown   */
294*c4762a1bSJed Brown   ierr = DMDAVecRestoreArray(da,Xg,&x);CHKERRQ(ierr);
295*c4762a1bSJed Brown 
296*c4762a1bSJed Brown   /* Grab only the global part of the vector */
297*c4762a1bSJed Brown   ierr = VecSet(X,0);CHKERRQ(ierr);
298*c4762a1bSJed Brown   ierr = DMLocalToGlobalBegin(da,Xg,ADD_VALUES,X);CHKERRQ(ierr);
299*c4762a1bSJed Brown   ierr = DMLocalToGlobalEnd(da,Xg,ADD_VALUES,X);CHKERRQ(ierr);
300*c4762a1bSJed Brown   ierr = VecDestroy(&Xg);CHKERRQ(ierr);
301*c4762a1bSJed Brown   PetscFunctionReturn(0);
302*c4762a1bSJed Brown }
303*c4762a1bSJed Brown 
304*c4762a1bSJed Brown /*TEST
305*c4762a1bSJed Brown 
306*c4762a1bSJed Brown    build:
307*c4762a1bSJed Brown      requires: !complex !single
308*c4762a1bSJed Brown 
309*c4762a1bSJed Brown    test:
310*c4762a1bSJed Brown      args: -ts_monitor -snes_monitor  -pc_type lu   -snes_converged_reason  -ts_type beuler  -da_refine 5 -ts_dt 9.53674e-9 -ts_max_steps 50
311*c4762a1bSJed Brown      requires: x
312*c4762a1bSJed Brown 
313*c4762a1bSJed Brown TEST*/
314