static char help[] = "Pseudotransient continuation to solve a many-variable system that comes from the 2 variable Rosenbrock function + trivial.\n\n"; #include static PetscErrorCode FormIJacobian(TS,PetscReal,Vec,Vec,PetscReal,Mat,Mat,void*); static PetscErrorCode FormIFunction(TS,PetscReal,Vec,Vec,Vec,void*); static PetscErrorCode MonitorObjective(TS,PetscInt,PetscReal,Vec,void*); typedef struct { PetscInt n; PetscBool monitor_short; } Ctx; int main(int argc,char **argv) { TS ts; /* time integration context */ Vec X; /* solution, residual vectors */ Mat J; /* Jacobian matrix */ PetscScalar *x; PetscReal ftime; PetscInt i,steps,nits,lits; PetscBool view_final; Ctx ctx; PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc,&argv,(char*)0,help)); ctx.n = 3; PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&ctx.n,NULL)); PetscCheck(ctx.n >= 2,PETSC_COMM_WORLD,PETSC_ERR_ARG_OUTOFRANGE,"The dimension specified with -n must be at least 2"); view_final = PETSC_FALSE; PetscCall(PetscOptionsGetBool(NULL,NULL,"-view_final",&view_final,NULL)); ctx.monitor_short = PETSC_FALSE; PetscCall(PetscOptionsGetBool(NULL,NULL,"-monitor_short",&ctx.monitor_short,NULL)); /* Create Jacobian matrix data structure and state vector */ PetscCall(MatCreate(PETSC_COMM_WORLD,&J)); PetscCall(MatSetSizes(J,PETSC_DECIDE,PETSC_DECIDE,ctx.n,ctx.n)); PetscCall(MatSetFromOptions(J)); PetscCall(MatSetUp(J)); PetscCall(MatCreateVecs(J,&X,NULL)); /* Create time integration context */ PetscCall(TSCreate(PETSC_COMM_WORLD,&ts)); PetscCall(TSSetType(ts,TSPSEUDO)); PetscCall(TSSetIFunction(ts,NULL,FormIFunction,&ctx)); PetscCall(TSSetIJacobian(ts,J,J,FormIJacobian,&ctx)); PetscCall(TSSetMaxSteps(ts,1000)); PetscCall(TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER)); PetscCall(TSSetTimeStep(ts,1e-3)); PetscCall(TSMonitorSet(ts,MonitorObjective,&ctx,NULL)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Customize time integrator; set runtime options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSetFromOptions(ts)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Evaluate initial guess; then solve nonlinear system - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(VecSet(X,0.0)); PetscCall(VecGetArray(X,&x)); #if 1 x[0] = 5.; x[1] = -5.; for (i=2; in-1; i++) f += PetscSqr(1. - x[i]) + 100. * PetscSqr(x[i+1] - PetscSqr(x[i])); PetscCall(VecRestoreArrayRead(X,&x)); /* Compute norm of gradient */ PetscCall(VecDuplicate(X,&Xdot)); PetscCall(VecDuplicate(X,&F)); PetscCall(VecZeroEntries(Xdot)); PetscCall(FormIFunction(ts,t,X,Xdot,F,ictx)); PetscCall(VecNorm(F,NORM_2,&gnorm)); PetscCall(VecDestroy(&Xdot)); PetscCall(VecDestroy(&F)); PetscCall(TSGetTimeStep(ts,&dt)); PetscCall(TSGetSNES(ts,&snes)); PetscCall(SNESGetIterationNumber(snes,&snesit)); PetscCall(SNESGetLinearSolveIterations(snes,&linit)); PetscCall(PetscPrintf(PETSC_COMM_WORLD,(ctx->monitor_short ? "%3" PetscInt_FMT " t=%10.1e dt=%10.1e f=%10.1e df=%10.1e it=(%2" PetscInt_FMT ",%3" PetscInt_FMT ")\n" : "%3" PetscInt_FMT " t=%10.4e dt=%10.4e f=%10.4e df=%10.4e it=(%2" PetscInt_FMT ",%3" PetscInt_FMT ")\n"), step,(double)t,(double)dt,(double)PetscRealPart(f),(double)gnorm,snesit,linit)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------- */ /* FormIFunction - Evaluates nonlinear function, F(X,Xdot) = Xdot + grad(objective(X)) Input Parameters: + ts - the TS context . t - time . X - input vector . Xdot - time derivative - ctx - optional user-defined context Output Parameter: . F - function vector */ static PetscErrorCode FormIFunction(TS ts,PetscReal t,Vec X,Vec Xdot,Vec F,void *ictx) { const PetscScalar *x; PetscScalar *f; PetscInt i; Ctx *ctx = (Ctx*)ictx; PetscFunctionBeginUser; /* Get pointers to vector data. - For default PETSc vectors, VecGetArray() returns a pointer to the data array. Otherwise, the routine is implementation dependent. - You MUST call VecRestoreArray() when you no longer need access to the array. */ PetscCall(VecGetArrayRead(X,&x)); PetscCall(VecZeroEntries(F)); PetscCall(VecGetArray(F,&f)); /* Compute gradient of objective */ for (i=0; in-1; i++) { PetscScalar a,a0,a1; a = x[i+1] - PetscSqr(x[i]); a0 = -2.*x[i]; a1 = 1.; f[i] += -2.*(1. - x[i]) + 200.*a*a0; f[i+1] += 200.*a*a1; } /* Restore vectors */ PetscCall(VecRestoreArrayRead(X,&x)); PetscCall(VecRestoreArray(F,&f)); PetscCall(VecAXPY(F,1.0,Xdot)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------- */ /* FormIJacobian - Evaluates Jacobian matrix. Input Parameters: + ts - the TS context . t - pseudo-time . X - input vector . Xdot - time derivative . shift - multiplier for mass matrix . dummy - user-defined context Output Parameters: . J - Jacobian matrix . B - optionally different preconditioning matrix . flag - flag indicating matrix structure */ static PetscErrorCode FormIJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal shift,Mat J,Mat B,void *ictx) { const PetscScalar *x; PetscInt i; Ctx *ctx = (Ctx*)ictx; PetscFunctionBeginUser; PetscCall(MatZeroEntries(B)); /* Get pointer to vector data */ PetscCall(VecGetArrayRead(X,&x)); /* Compute Jacobian entries and insert into matrix. */ for (i=0; in-1; i++) { PetscInt rowcol[2]; PetscScalar v[2][2],a,a0,a1,a00,a01,a10,a11; rowcol[0] = i; rowcol[1] = i+1; a = x[i+1] - PetscSqr(x[i]); a0 = -2.*x[i]; a00 = -2.; a01 = 0.; a1 = 1.; a10 = 0.; a11 = 0.; v[0][0] = 2. + 200.*(a*a00 + a0*a0); v[0][1] = 200.*(a*a01 + a1*a0); v[1][0] = 200.*(a*a10 + a0*a1); v[1][1] = 200.*(a*a11 + a1*a1); PetscCall(MatSetValues(B,2,rowcol,2,rowcol,&v[0][0],ADD_VALUES)); } for (i=0; in; i++) { PetscCall(MatSetValue(B,i,i,(PetscScalar)shift,ADD_VALUES)); } PetscCall(VecRestoreArrayRead(X,&x)); /* Assemble matrix */ PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY)); if (J != B) { PetscCall(MatAssemblyBegin(J,MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(J,MAT_FINAL_ASSEMBLY)); } PetscFunctionReturn(0); } /*TEST test: requires: !single test: args: -pc_type lu -ts_dt 1e-5 -ts_max_time 1e5 -n 50 -monitor_short -snes_max_it 5 -snes_type newtonls -ts_max_snes_failures -1 requires: !single suffix: 2 TEST*/