111320018SBarry Smith 2e090d566SSatish Balay #include "src/snes/snesimpl.h" /*I "petscsnes.h" I*/ 311320018SBarry Smith 44a2ae208SSatish Balay #undef __FUNCT__ 54a2ae208SSatish Balay #define __FUNCT__ "SNESDefaultComputeJacobian" 64b828684SBarry Smith /*@C 784a7bf8dSLois Curfman McInnes SNESDefaultComputeJacobian - Computes the Jacobian using finite differences. 811320018SBarry Smith 9fee21e36SBarry Smith Collective on SNES 10fee21e36SBarry Smith 11c7afd0dbSLois Curfman McInnes Input Parameters: 12c7afd0dbSLois Curfman McInnes + x1 - compute Jacobian at this point 13c7afd0dbSLois Curfman McInnes - ctx - application's function context, as set with SNESSetFunction() 14c7afd0dbSLois Curfman McInnes 15c7afd0dbSLois Curfman McInnes Output Parameters: 16c7afd0dbSLois Curfman McInnes + J - Jacobian matrix (not altered in this routine) 17c7afd0dbSLois Curfman McInnes . B - newly computed Jacobian matrix to use with preconditioner (generally the same as J) 18c7afd0dbSLois Curfman McInnes - flag - flag indicating whether the matrix sparsity structure has changed 19c7afd0dbSLois Curfman McInnes 20ad960d00SLois Curfman McInnes Options Database Key: 2108f75eefSBarry Smith + -snes_fd - Activates SNESDefaultComputeJacobian() 2277d8c4bbSBarry Smith - -snes_test_err - Square root of function error tolerance, default square root of machine 2377d8c4bbSBarry Smith epsilon (1.e-8 in double, 3.e-4 in single) 24ad960d00SLois Curfman McInnes 255f3c43d9SLois Curfman McInnes Notes: 265f3c43d9SLois Curfman McInnes This routine is slow and expensive, and is not currently optimized 275f3c43d9SLois Curfman McInnes to take advantage of sparsity in the problem. Although 285f3c43d9SLois Curfman McInnes SNESDefaultComputeJacobian() is not recommended for general use 295f3c43d9SLois Curfman McInnes in large-scale applications, It can be useful in checking the 305f3c43d9SLois Curfman McInnes correctness of a user-provided Jacobian. 3111320018SBarry Smith 32b4fc646aSLois Curfman McInnes An alternative routine that uses coloring to explot matrix sparsity is 332d0c0e3bSBarry Smith SNESDefaultComputeJacobianColor(). 34b4fc646aSLois Curfman McInnes 3536851e7fSLois Curfman McInnes Level: intermediate 3636851e7fSLois Curfman McInnes 375f3c43d9SLois Curfman McInnes .keywords: SNES, finite differences, Jacobian 385f3c43d9SLois Curfman McInnes 392d0c0e3bSBarry Smith .seealso: SNESSetJacobian(), SNESDefaultComputeJacobianColor() 4011320018SBarry Smith @*/ 41dfbe8321SBarry Smith PetscErrorCode SNESDefaultComputeJacobian(SNES snes,Vec x1,Mat *J,Mat *B,MatStructure *flag,void *ctx) 4211320018SBarry Smith { 4388c956adSLois Curfman McInnes Vec j1a,j2a,x2; 44*6849ba73SBarry Smith PetscErrorCode ierr; 45*6849ba73SBarry Smith int i,N,start,end,j; 46ea709b57SSatish Balay PetscScalar dx,mone = -1.0,*y,scale,*xx,wscale; 4777d8c4bbSBarry Smith PetscReal amax,epsilon = PETSC_SQRT_MACHINE_EPSILON; 48329f5518SBarry Smith PetscReal dx_min = 1.e-16,dx_par = 1.e-1; 49bbb6d6a8SBarry Smith MPI_Comm comm; 50*6849ba73SBarry Smith PetscErrorCode (*eval_fct)(SNES,Vec,Vec)=0; 510521c3abSLois Curfman McInnes 523a40ed3dSBarry Smith PetscFunctionBegin; 5387828ca2SBarry Smith ierr = PetscOptionsGetReal(snes->prefix,"-snes_test_err",&epsilon,0);CHKERRQ(ierr); 544b27c08aSLois Curfman McInnes eval_fct = SNESComputeFunction; 5523242f5aSBarry Smith 562d0c0e3bSBarry Smith ierr = PetscObjectGetComm((PetscObject)x1,&comm);CHKERRQ(ierr); 572d0c0e3bSBarry Smith ierr = MatZeroEntries(*B);CHKERRQ(ierr); 58aa79bc6dSLois Curfman McInnes if (!snes->nvwork) { 59aa79bc6dSLois Curfman McInnes ierr = VecDuplicateVecs(x1,3,&snes->vwork);CHKERRQ(ierr); 60aa79bc6dSLois Curfman McInnes snes->nvwork = 3; 61b0a32e0cSBarry Smith PetscLogObjectParents(snes,3,snes->vwork); 62aa79bc6dSLois Curfman McInnes } 6388c956adSLois Curfman McInnes j1a = snes->vwork[0]; j2a = snes->vwork[1]; x2 = snes->vwork[2]; 6423242f5aSBarry Smith 6578b31e54SBarry Smith ierr = VecGetSize(x1,&N);CHKERRQ(ierr); 6678b31e54SBarry Smith ierr = VecGetOwnershipRange(x1,&start,&end);CHKERRQ(ierr); 67a86fb38aSBarry Smith ierr = (*eval_fct)(snes,x1,j1a);CHKERRQ(ierr); 68c005e166SLois Curfman McInnes 69c005e166SLois Curfman McInnes /* Compute Jacobian approximation, 1 column at a time. 7088c956adSLois Curfman McInnes x1 = current iterate, j1a = F(x1) 7188c956adSLois Curfman McInnes x2 = perturbed iterate, j2a = F(x2) 72c005e166SLois Curfman McInnes */ 7339e2f89bSBarry Smith for (i=0; i<N; i++) { 7478b31e54SBarry Smith ierr = VecCopy(x1,x2);CHKERRQ(ierr); 7523242f5aSBarry Smith if (i>= start && i<end) { 762e8a6d31SBarry Smith ierr = VecGetArray(x1,&xx);CHKERRQ(ierr); 7739e2f89bSBarry Smith dx = xx[i-start]; 782e8a6d31SBarry Smith ierr = VecRestoreArray(x1,&xx);CHKERRQ(ierr); 79aa482453SBarry Smith #if !defined(PETSC_USE_COMPLEX) 8054d73c9fSLois Curfman McInnes if (dx < dx_min && dx >= 0.0) dx = dx_par; 8154d73c9fSLois Curfman McInnes else if (dx < 0.0 && dx > -dx_min) dx = -dx_par; 8219a167f6SBarry Smith #else 83329f5518SBarry Smith if (PetscAbsScalar(dx) < dx_min && PetscRealPart(dx) >= 0.0) dx = dx_par; 84329f5518SBarry Smith else if (PetscRealPart(dx) < 0.0 && PetscAbsScalar(dx) < dx_min) dx = -dx_par; 8519a167f6SBarry Smith #endif 8639e2f89bSBarry Smith dx *= epsilon; 8774f6f00dSLois Curfman McInnes wscale = 1.0/dx; 882e8a6d31SBarry Smith ierr = VecSetValues(x2,1,&i,&dx,ADD_VALUES);CHKERRQ(ierr); 896c783aadSBarry Smith } else { 90bbb6d6a8SBarry Smith wscale = 0.0; 91bbb6d6a8SBarry Smith } 92a86fb38aSBarry Smith ierr = (*eval_fct)(snes,x2,j2a);CHKERRQ(ierr); 9388c956adSLois Curfman McInnes ierr = VecAXPY(&mone,j1a,j2a);CHKERRQ(ierr); 94c005e166SLois Curfman McInnes /* Communicate scale to all processors */ 956831982aSBarry Smith ierr = MPI_Allreduce(&wscale,&scale,1,MPIU_SCALAR,PetscSum_Op,comm);CHKERRQ(ierr); 962e8a6d31SBarry Smith ierr = VecScale(&scale,j2a);CHKERRQ(ierr); 972e8a6d31SBarry Smith ierr = VecNorm(j2a,NORM_INFINITY,&amax);CHKERRQ(ierr); amax *= 1.e-14; 98d142edc7SBarry Smith ierr = VecGetArray(j2a,&y);CHKERRQ(ierr); 9923242f5aSBarry Smith for (j=start; j<end; j++) { 100cddf8d76SBarry Smith if (PetscAbsScalar(y[j-start]) > amax) { 101b4fc646aSLois Curfman McInnes ierr = MatSetValues(*B,1,&j,1,&i,y+j-start,INSERT_VALUES);CHKERRQ(ierr); 10223242f5aSBarry Smith } 10323242f5aSBarry Smith } 1042e8a6d31SBarry Smith ierr = VecRestoreArray(j2a,&y);CHKERRQ(ierr); 10523242f5aSBarry Smith } 106b4fc646aSLois Curfman McInnes ierr = MatAssemblyBegin(*B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 107b4fc646aSLois Curfman McInnes ierr = MatAssemblyEnd(*B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 108595b82d2SBarry Smith *flag = DIFFERENT_NONZERO_PATTERN; 1093a40ed3dSBarry Smith PetscFunctionReturn(0); 11011320018SBarry Smith } 11111320018SBarry Smith 112bd45824fSLois Curfman McInnes 113