1*c4762a1bSJed Brown 2*c4762a1bSJed Brown static char help[] = "Solves the van der Pol equation.\n\ 3*c4762a1bSJed Brown Input parameters include:\n"; 4*c4762a1bSJed Brown 5*c4762a1bSJed Brown /* 6*c4762a1bSJed Brown Concepts: TS^time-dependent nonlinear problems 7*c4762a1bSJed Brown Concepts: TS^van der Pol equation DAE equivalent 8*c4762a1bSJed Brown Processors: 1 9*c4762a1bSJed Brown */ 10*c4762a1bSJed Brown /* ------------------------------------------------------------------------ 11*c4762a1bSJed Brown 12*c4762a1bSJed Brown This program solves the van der Pol DAE ODE equivalent 13*c4762a1bSJed Brown y' = z (1) 14*c4762a1bSJed Brown z' = \mu ((1-y^2)z-y) 15*c4762a1bSJed Brown on the domain 0 <= x <= 1, with the boundary conditions 16*c4762a1bSJed Brown y(0) = 2, y'(0) = - 2/3 +10/(81*\mu) - 292/(2187*\mu^2), 17*c4762a1bSJed Brown and 18*c4762a1bSJed Brown \mu = 10^6 ( y'(0) ~ -0.6666665432100101). 19*c4762a1bSJed Brown This is a nonlinear equation. The well prepared initial condition gives errors that are not dominated by the first few steps of the method when \mu is large. 20*c4762a1bSJed Brown 21*c4762a1bSJed Brown Notes: 22*c4762a1bSJed Brown This code demonstrates the TS solver interface to an ODE -- RHSFunction for explicit form and IFunction for implicit form. 23*c4762a1bSJed Brown 24*c4762a1bSJed Brown ------------------------------------------------------------------------- */ 25*c4762a1bSJed Brown 26*c4762a1bSJed Brown #include <petscts.h> 27*c4762a1bSJed Brown 28*c4762a1bSJed Brown typedef struct _n_User *User; 29*c4762a1bSJed Brown struct _n_User { 30*c4762a1bSJed Brown PetscReal mu; 31*c4762a1bSJed Brown PetscReal next_output; 32*c4762a1bSJed Brown }; 33*c4762a1bSJed Brown 34*c4762a1bSJed Brown /* 35*c4762a1bSJed Brown * User-defined routines 36*c4762a1bSJed Brown */ 37*c4762a1bSJed Brown static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec X,Vec F,void *ctx) 38*c4762a1bSJed Brown { 39*c4762a1bSJed Brown PetscErrorCode ierr; 40*c4762a1bSJed Brown User user = (User)ctx; 41*c4762a1bSJed Brown PetscScalar *f; 42*c4762a1bSJed Brown const PetscScalar *x; 43*c4762a1bSJed Brown 44*c4762a1bSJed Brown PetscFunctionBeginUser; 45*c4762a1bSJed Brown ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); 46*c4762a1bSJed Brown ierr = VecGetArray(F,&f);CHKERRQ(ierr); 47*c4762a1bSJed Brown f[0] = x[1]; 48*c4762a1bSJed Brown f[1] = user->mu*(1.-x[0]*x[0])*x[1]-x[0]; 49*c4762a1bSJed Brown ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); 50*c4762a1bSJed Brown ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); 51*c4762a1bSJed Brown PetscFunctionReturn(0); 52*c4762a1bSJed Brown } 53*c4762a1bSJed Brown 54*c4762a1bSJed Brown 55*c4762a1bSJed Brown static PetscErrorCode IFunction(TS ts,PetscReal t,Vec X,Vec Xdot,Vec F,void *ctx) 56*c4762a1bSJed Brown { 57*c4762a1bSJed Brown PetscErrorCode ierr; 58*c4762a1bSJed Brown User user = (User)ctx; 59*c4762a1bSJed Brown const PetscScalar *x,*xdot; 60*c4762a1bSJed Brown PetscScalar *f; 61*c4762a1bSJed Brown 62*c4762a1bSJed Brown PetscFunctionBeginUser; 63*c4762a1bSJed Brown ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); 64*c4762a1bSJed Brown ierr = VecGetArrayRead(Xdot,&xdot);CHKERRQ(ierr); 65*c4762a1bSJed Brown ierr = VecGetArray(F,&f);CHKERRQ(ierr); 66*c4762a1bSJed Brown f[0] = xdot[0] - x[1]; 67*c4762a1bSJed Brown f[1] = xdot[1] - user->mu*((1.0-x[0]*x[0])*x[1] - x[0]); 68*c4762a1bSJed Brown ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); 69*c4762a1bSJed Brown ierr = VecRestoreArrayRead(Xdot,&xdot);CHKERRQ(ierr); 70*c4762a1bSJed Brown ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); 71*c4762a1bSJed Brown PetscFunctionReturn(0); 72*c4762a1bSJed Brown } 73*c4762a1bSJed Brown 74*c4762a1bSJed Brown static PetscErrorCode IJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal a,Mat A,Mat B,void *ctx) 75*c4762a1bSJed Brown { 76*c4762a1bSJed Brown PetscErrorCode ierr; 77*c4762a1bSJed Brown User user = (User)ctx; 78*c4762a1bSJed Brown PetscInt rowcol[] = {0,1}; 79*c4762a1bSJed Brown const PetscScalar *x; 80*c4762a1bSJed Brown PetscScalar J[2][2]; 81*c4762a1bSJed Brown 82*c4762a1bSJed Brown PetscFunctionBeginUser; 83*c4762a1bSJed Brown ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); 84*c4762a1bSJed Brown J[0][0] = a; J[0][1] = -1.0; 85*c4762a1bSJed Brown J[1][0] = user->mu*(2.0*x[0]*x[1] + 1.0); J[1][1] = a - user->mu*(1.0-x[0]*x[0]); 86*c4762a1bSJed Brown ierr = MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr); 87*c4762a1bSJed Brown ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); 88*c4762a1bSJed Brown 89*c4762a1bSJed Brown ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 90*c4762a1bSJed Brown ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 91*c4762a1bSJed Brown if (A != B) { 92*c4762a1bSJed Brown ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 93*c4762a1bSJed Brown ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 94*c4762a1bSJed Brown } 95*c4762a1bSJed Brown PetscFunctionReturn(0); 96*c4762a1bSJed Brown } 97*c4762a1bSJed Brown 98*c4762a1bSJed Brown /* Monitor timesteps and use interpolation to output at integer multiples of 0.1 */ 99*c4762a1bSJed Brown static PetscErrorCode Monitor(TS ts,PetscInt step,PetscReal t,Vec X,void *ctx) 100*c4762a1bSJed Brown { 101*c4762a1bSJed Brown PetscErrorCode ierr; 102*c4762a1bSJed Brown const PetscScalar *x; 103*c4762a1bSJed Brown PetscReal tfinal, dt; 104*c4762a1bSJed Brown User user = (User)ctx; 105*c4762a1bSJed Brown Vec interpolatedX; 106*c4762a1bSJed Brown 107*c4762a1bSJed Brown PetscFunctionBeginUser; 108*c4762a1bSJed Brown ierr = TSGetTimeStep(ts,&dt);CHKERRQ(ierr); 109*c4762a1bSJed Brown ierr = TSGetMaxTime(ts,&tfinal);CHKERRQ(ierr); 110*c4762a1bSJed Brown 111*c4762a1bSJed Brown while (user->next_output <= t && user->next_output <= tfinal) { 112*c4762a1bSJed Brown ierr = VecDuplicate(X,&interpolatedX);CHKERRQ(ierr); 113*c4762a1bSJed Brown ierr = TSInterpolate(ts,user->next_output,interpolatedX);CHKERRQ(ierr); 114*c4762a1bSJed Brown ierr = VecGetArrayRead(interpolatedX,&x);CHKERRQ(ierr); 115*c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_WORLD,"[%.1f] %D TS %.6f (dt = %.6f) X % 12.6e % 12.6e\n", 116*c4762a1bSJed Brown user->next_output,step,t,dt,(double)PetscRealPart(x[0]), 117*c4762a1bSJed Brown (double)PetscRealPart(x[1]));CHKERRQ(ierr); 118*c4762a1bSJed Brown ierr = VecRestoreArrayRead(interpolatedX,&x);CHKERRQ(ierr); 119*c4762a1bSJed Brown ierr = VecDestroy(&interpolatedX);CHKERRQ(ierr); 120*c4762a1bSJed Brown user->next_output += 0.1; 121*c4762a1bSJed Brown } 122*c4762a1bSJed Brown PetscFunctionReturn(0); 123*c4762a1bSJed Brown } 124*c4762a1bSJed Brown 125*c4762a1bSJed Brown int main(int argc,char **argv) 126*c4762a1bSJed Brown { 127*c4762a1bSJed Brown TS ts; /* nonlinear solver */ 128*c4762a1bSJed Brown Vec x; /* solution, residual vectors */ 129*c4762a1bSJed Brown Mat A; /* Jacobian matrix */ 130*c4762a1bSJed Brown PetscInt steps; 131*c4762a1bSJed Brown PetscReal ftime = 0.5; 132*c4762a1bSJed Brown PetscBool monitor = PETSC_FALSE,implicitform = PETSC_TRUE; 133*c4762a1bSJed Brown PetscScalar *x_ptr; 134*c4762a1bSJed Brown PetscMPIInt size; 135*c4762a1bSJed Brown struct _n_User user; 136*c4762a1bSJed Brown PetscErrorCode ierr; 137*c4762a1bSJed Brown 138*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 139*c4762a1bSJed Brown Initialize program 140*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 141*c4762a1bSJed Brown ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr; 142*c4762a1bSJed Brown ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr); 143*c4762a1bSJed Brown if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!"); 144*c4762a1bSJed Brown 145*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 146*c4762a1bSJed Brown Set runtime options 147*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 148*c4762a1bSJed Brown user.next_output = 0.0; 149*c4762a1bSJed Brown user.mu = 1.0e3; 150*c4762a1bSJed Brown ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr); 151*c4762a1bSJed Brown ierr = PetscOptionsGetBool(NULL,NULL,"-implicitform",&implicitform,NULL);CHKERRQ(ierr); 152*c4762a1bSJed Brown ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Physical parameters",NULL);CHKERRQ(ierr); 153*c4762a1bSJed Brown ierr = PetscOptionsReal("-mu","Stiffness parameter","<1.0e6>",user.mu,&user.mu,NULL);CHKERRQ(ierr); 154*c4762a1bSJed Brown ierr = PetscOptionsEnd();CHKERRQ(ierr); 155*c4762a1bSJed Brown 156*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 157*c4762a1bSJed Brown Create necessary matrix and vectors, solve same ODE on every process 158*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 159*c4762a1bSJed Brown ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr); 160*c4762a1bSJed Brown ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr); 161*c4762a1bSJed Brown ierr = MatSetFromOptions(A);CHKERRQ(ierr); 162*c4762a1bSJed Brown ierr = MatSetUp(A);CHKERRQ(ierr); 163*c4762a1bSJed Brown 164*c4762a1bSJed Brown ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr); 165*c4762a1bSJed Brown 166*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 167*c4762a1bSJed Brown Create timestepping solver context 168*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 169*c4762a1bSJed Brown ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr); 170*c4762a1bSJed Brown if (implicitform) { 171*c4762a1bSJed Brown ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr); 172*c4762a1bSJed Brown ierr = TSSetIJacobian(ts,A,A,IJacobian,&user);CHKERRQ(ierr); 173*c4762a1bSJed Brown ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr); 174*c4762a1bSJed Brown } else { 175*c4762a1bSJed Brown ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr); 176*c4762a1bSJed Brown ierr = TSSetType(ts,TSRK);CHKERRQ(ierr); 177*c4762a1bSJed Brown } 178*c4762a1bSJed Brown ierr = TSSetMaxTime(ts,ftime);CHKERRQ(ierr); 179*c4762a1bSJed Brown ierr = TSSetTimeStep(ts,0.001);CHKERRQ(ierr); 180*c4762a1bSJed Brown ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr); 181*c4762a1bSJed Brown if (monitor) { 182*c4762a1bSJed Brown ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr); 183*c4762a1bSJed Brown } 184*c4762a1bSJed Brown 185*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 186*c4762a1bSJed Brown Set initial conditions 187*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 188*c4762a1bSJed Brown ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr); 189*c4762a1bSJed Brown x_ptr[0] = 2.0; 190*c4762a1bSJed Brown x_ptr[1] = -2.0/3.0 + 10.0/(81.0*user.mu) - 292.0/(2187.0*user.mu*user.mu); 191*c4762a1bSJed Brown ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr); 192*c4762a1bSJed Brown 193*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 194*c4762a1bSJed Brown Set runtime options 195*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 196*c4762a1bSJed Brown ierr = TSSetFromOptions(ts);CHKERRQ(ierr); 197*c4762a1bSJed Brown 198*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 199*c4762a1bSJed Brown Solve nonlinear system 200*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 201*c4762a1bSJed Brown ierr = TSSolve(ts,x);CHKERRQ(ierr); 202*c4762a1bSJed Brown ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr); 203*c4762a1bSJed Brown ierr = TSGetStepNumber(ts,&steps);CHKERRQ(ierr); 204*c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_WORLD,"steps %D, ftime %g\n",steps,(double)ftime);CHKERRQ(ierr); 205*c4762a1bSJed Brown ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 206*c4762a1bSJed Brown 207*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 208*c4762a1bSJed Brown Free work space. All PETSc objects should be destroyed when they 209*c4762a1bSJed Brown are no longer needed. 210*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 211*c4762a1bSJed Brown ierr = MatDestroy(&A);CHKERRQ(ierr); 212*c4762a1bSJed Brown ierr = VecDestroy(&x);CHKERRQ(ierr); 213*c4762a1bSJed Brown ierr = TSDestroy(&ts);CHKERRQ(ierr); 214*c4762a1bSJed Brown 215*c4762a1bSJed Brown ierr = PetscFinalize(); 216*c4762a1bSJed Brown return(ierr); 217*c4762a1bSJed Brown } 218*c4762a1bSJed Brown 219*c4762a1bSJed Brown /*TEST 220*c4762a1bSJed Brown 221*c4762a1bSJed Brown test: 222*c4762a1bSJed Brown requires: !single 223*c4762a1bSJed Brown args: -mu 1e6 224*c4762a1bSJed Brown 225*c4762a1bSJed Brown TEST*/ 226