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