1*c4762a1bSJed Brown 2*c4762a1bSJed Brown static char help[] = "Solves the van der Pol equation and demonstrate IMEX.\n\ 3*c4762a1bSJed Brown Input parameters include:\n\ 4*c4762a1bSJed Brown -mu : stiffness parameter\n\n"; 5*c4762a1bSJed Brown 6*c4762a1bSJed Brown /* 7*c4762a1bSJed Brown Concepts: TS^time-dependent nonlinear problems 8*c4762a1bSJed Brown Concepts: TS^van der Pol equation 9*c4762a1bSJed Brown Processors: 1 10*c4762a1bSJed Brown */ 11*c4762a1bSJed Brown /* ------------------------------------------------------------------------ 12*c4762a1bSJed Brown 13*c4762a1bSJed Brown This program solves the van der Pol equation 14*c4762a1bSJed Brown y'' - \mu ((1-y^2)*y' - y) = 0 (1) 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 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. 18*c4762a1bSJed Brown 19*c4762a1bSJed Brown Notes: 20*c4762a1bSJed Brown This code demonstrates the TS solver interface to two variants of 21*c4762a1bSJed Brown linear problems, u_t = f(u,t), namely turning (1) into a system of 22*c4762a1bSJed Brown first order differential equations, 23*c4762a1bSJed Brown 24*c4762a1bSJed Brown [ y' ] = [ z ] 25*c4762a1bSJed Brown [ z' ] [ \mu ((1 - y^2) z - y) ] 26*c4762a1bSJed Brown 27*c4762a1bSJed Brown which then we can write as a vector equation 28*c4762a1bSJed Brown 29*c4762a1bSJed Brown [ u_1' ] = [ u_2 ] (2) 30*c4762a1bSJed Brown [ u_2' ] [ \mu (1 - u_1^2) u_2 - u_1 ] 31*c4762a1bSJed Brown 32*c4762a1bSJed Brown which is now in the desired form of u_t = f(u,t). One way that we 33*c4762a1bSJed Brown can split f(u,t) in (2) is to split by component, 34*c4762a1bSJed Brown 35*c4762a1bSJed Brown [ u_1' ] = [ u_2 ] + [ 0 ] 36*c4762a1bSJed Brown [ u_2' ] [ 0 ] [ \mu ((1 - u_1^2) u_2 - u_1) ] 37*c4762a1bSJed Brown 38*c4762a1bSJed Brown where 39*c4762a1bSJed Brown 40*c4762a1bSJed Brown [ F(u,t) ] = [ u_2 ] 41*c4762a1bSJed Brown [ 0 ] 42*c4762a1bSJed Brown 43*c4762a1bSJed Brown and 44*c4762a1bSJed Brown 45*c4762a1bSJed Brown [ G(u',u,t) ] = [ u_1' ] - [ 0 ] 46*c4762a1bSJed Brown [ u_2' ] [ \mu ((1 - u_1^2) u_2 - u_1) ] 47*c4762a1bSJed Brown 48*c4762a1bSJed Brown Using the definition of the Jacobian of G (from the PETSc user manual), 49*c4762a1bSJed Brown in the equation G(u',u,t) = F(u,t), 50*c4762a1bSJed Brown 51*c4762a1bSJed Brown dG dG 52*c4762a1bSJed Brown J(G) = a * -- - -- 53*c4762a1bSJed Brown du' du 54*c4762a1bSJed Brown 55*c4762a1bSJed Brown where d is the partial derivative. In this example, 56*c4762a1bSJed Brown 57*c4762a1bSJed Brown dG [ 1 ; 0 ] 58*c4762a1bSJed Brown -- = [ ] 59*c4762a1bSJed Brown du' [ 0 ; 1 ] 60*c4762a1bSJed Brown 61*c4762a1bSJed Brown dG [ 0 ; 0 ] 62*c4762a1bSJed Brown -- = [ ] 63*c4762a1bSJed Brown du [ -\mu (2*u_1*u_2 + 1); \mu (1 - u_1^2) ] 64*c4762a1bSJed Brown 65*c4762a1bSJed Brown Hence, 66*c4762a1bSJed Brown 67*c4762a1bSJed Brown [ a ; 0 ] 68*c4762a1bSJed Brown J(G) = [ ] 69*c4762a1bSJed Brown [ \mu (2*u_1*u_2 + 1); a - \mu (1 - u_1^2) ] 70*c4762a1bSJed Brown 71*c4762a1bSJed Brown ------------------------------------------------------------------------- */ 72*c4762a1bSJed Brown 73*c4762a1bSJed Brown #include <petscts.h> 74*c4762a1bSJed Brown 75*c4762a1bSJed Brown typedef struct _n_User *User; 76*c4762a1bSJed Brown struct _n_User { 77*c4762a1bSJed Brown PetscReal mu; 78*c4762a1bSJed Brown PetscBool imex; 79*c4762a1bSJed Brown PetscReal next_output; 80*c4762a1bSJed Brown }; 81*c4762a1bSJed Brown 82*c4762a1bSJed Brown /* 83*c4762a1bSJed Brown * User-defined routines 84*c4762a1bSJed Brown */ 85*c4762a1bSJed Brown static PetscErrorCode RHSFunction(TS ts,PetscReal t,Vec X,Vec F,void *ctx) 86*c4762a1bSJed Brown { 87*c4762a1bSJed Brown PetscErrorCode ierr; 88*c4762a1bSJed Brown User user = (User)ctx; 89*c4762a1bSJed Brown PetscScalar *f; 90*c4762a1bSJed Brown const PetscScalar *x; 91*c4762a1bSJed Brown 92*c4762a1bSJed Brown PetscFunctionBeginUser; 93*c4762a1bSJed Brown ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); 94*c4762a1bSJed Brown ierr = VecGetArray(F,&f);CHKERRQ(ierr); 95*c4762a1bSJed Brown f[0] = (user->imex ? x[1] : 0); 96*c4762a1bSJed Brown f[1] = 0.0; 97*c4762a1bSJed Brown ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); 98*c4762a1bSJed Brown ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); 99*c4762a1bSJed Brown PetscFunctionReturn(0); 100*c4762a1bSJed Brown } 101*c4762a1bSJed Brown 102*c4762a1bSJed Brown static PetscErrorCode IFunction(TS ts,PetscReal t,Vec X,Vec Xdot,Vec F,void *ctx) 103*c4762a1bSJed Brown { 104*c4762a1bSJed Brown PetscErrorCode ierr; 105*c4762a1bSJed Brown User user = (User)ctx; 106*c4762a1bSJed Brown const PetscScalar *x,*xdot; 107*c4762a1bSJed Brown PetscScalar *f; 108*c4762a1bSJed Brown 109*c4762a1bSJed Brown PetscFunctionBeginUser; 110*c4762a1bSJed Brown ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); 111*c4762a1bSJed Brown ierr = VecGetArrayRead(Xdot,&xdot);CHKERRQ(ierr); 112*c4762a1bSJed Brown ierr = VecGetArray(F,&f);CHKERRQ(ierr); 113*c4762a1bSJed Brown f[0] = xdot[0] + (user->imex ? 0 : x[1]); 114*c4762a1bSJed Brown f[1] = xdot[1] - user->mu*((1. - x[0]*x[0])*x[1] - x[0]); 115*c4762a1bSJed Brown ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); 116*c4762a1bSJed Brown ierr = VecRestoreArrayRead(Xdot,&xdot);CHKERRQ(ierr); 117*c4762a1bSJed Brown ierr = VecRestoreArray(F,&f);CHKERRQ(ierr); 118*c4762a1bSJed Brown PetscFunctionReturn(0); 119*c4762a1bSJed Brown } 120*c4762a1bSJed Brown 121*c4762a1bSJed Brown static PetscErrorCode IJacobian(TS ts,PetscReal t,Vec X,Vec Xdot,PetscReal a,Mat A,Mat B,void *ctx) 122*c4762a1bSJed Brown { 123*c4762a1bSJed Brown PetscErrorCode ierr; 124*c4762a1bSJed Brown User user = (User)ctx; 125*c4762a1bSJed Brown PetscReal mu = user->mu; 126*c4762a1bSJed Brown PetscInt rowcol[] = {0,1}; 127*c4762a1bSJed Brown const PetscScalar *x; 128*c4762a1bSJed Brown PetscScalar J[2][2]; 129*c4762a1bSJed Brown 130*c4762a1bSJed Brown PetscFunctionBeginUser; 131*c4762a1bSJed Brown ierr = VecGetArrayRead(X,&x);CHKERRQ(ierr); 132*c4762a1bSJed Brown J[0][0] = a; J[0][1] = (user->imex ? 0 : 1.); 133*c4762a1bSJed Brown J[1][0] = mu*(2.*x[0]*x[1]+1.); J[1][1] = a - mu*(1. - x[0]*x[0]); 134*c4762a1bSJed Brown ierr = MatSetValues(B,2,rowcol,2,rowcol,&J[0][0],INSERT_VALUES);CHKERRQ(ierr); 135*c4762a1bSJed Brown ierr = VecRestoreArrayRead(X,&x);CHKERRQ(ierr); 136*c4762a1bSJed Brown 137*c4762a1bSJed Brown ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 138*c4762a1bSJed Brown ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 139*c4762a1bSJed Brown if (A != B) { 140*c4762a1bSJed Brown ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 141*c4762a1bSJed Brown ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 142*c4762a1bSJed Brown } 143*c4762a1bSJed Brown PetscFunctionReturn(0); 144*c4762a1bSJed Brown } 145*c4762a1bSJed Brown 146*c4762a1bSJed Brown static PetscErrorCode RegisterMyARK2(void) 147*c4762a1bSJed Brown { 148*c4762a1bSJed Brown PetscErrorCode ierr; 149*c4762a1bSJed Brown 150*c4762a1bSJed Brown PetscFunctionBeginUser; 151*c4762a1bSJed Brown { 152*c4762a1bSJed Brown const PetscReal 153*c4762a1bSJed Brown A[3][3] = {{0,0,0}, 154*c4762a1bSJed Brown {0.41421356237309504880,0,0}, 155*c4762a1bSJed Brown {0.75,0.25,0}}, 156*c4762a1bSJed Brown At[3][3] = {{0,0,0}, 157*c4762a1bSJed Brown {0.12132034355964257320,0.29289321881345247560,0}, 158*c4762a1bSJed Brown {0.20710678118654752440,0.50000000000000000000,0.29289321881345247560}}, 159*c4762a1bSJed Brown *bembedt = NULL,*bembed = NULL; 160*c4762a1bSJed Brown ierr = TSARKIMEXRegister("myark2",2,3,&At[0][0],NULL,NULL,&A[0][0],NULL,NULL,bembedt,bembed,0,NULL,NULL);CHKERRQ(ierr); 161*c4762a1bSJed Brown } 162*c4762a1bSJed Brown PetscFunctionReturn(0); 163*c4762a1bSJed Brown } 164*c4762a1bSJed Brown 165*c4762a1bSJed Brown /* Monitor timesteps and use interpolation to output at integer multiples of 0.1 */ 166*c4762a1bSJed Brown static PetscErrorCode Monitor(TS ts,PetscInt step,PetscReal t,Vec X,void *ctx) 167*c4762a1bSJed Brown { 168*c4762a1bSJed Brown PetscErrorCode ierr; 169*c4762a1bSJed Brown const PetscScalar *x; 170*c4762a1bSJed Brown PetscReal tfinal, dt; 171*c4762a1bSJed Brown User user = (User)ctx; 172*c4762a1bSJed Brown Vec interpolatedX; 173*c4762a1bSJed Brown 174*c4762a1bSJed Brown PetscFunctionBeginUser; 175*c4762a1bSJed Brown ierr = TSGetTimeStep(ts,&dt);CHKERRQ(ierr); 176*c4762a1bSJed Brown ierr = TSGetMaxTime(ts,&tfinal);CHKERRQ(ierr); 177*c4762a1bSJed Brown 178*c4762a1bSJed Brown while (user->next_output <= t && user->next_output <= tfinal) { 179*c4762a1bSJed Brown ierr = VecDuplicate(X,&interpolatedX);CHKERRQ(ierr); 180*c4762a1bSJed Brown ierr = TSInterpolate(ts,user->next_output,interpolatedX);CHKERRQ(ierr); 181*c4762a1bSJed Brown ierr = VecGetArrayRead(interpolatedX,&x);CHKERRQ(ierr); 182*c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_WORLD,"[%.1f] %D TS %.6f (dt = %.6f) X % 12.6e % 12.6e\n",user->next_output,step,t,dt,(double)PetscRealPart(x[0]),(double)PetscRealPart(x[1]));CHKERRQ(ierr); 183*c4762a1bSJed Brown ierr = VecRestoreArrayRead(interpolatedX,&x);CHKERRQ(ierr); 184*c4762a1bSJed Brown ierr = VecDestroy(&interpolatedX);CHKERRQ(ierr); 185*c4762a1bSJed Brown 186*c4762a1bSJed Brown user->next_output += 0.1; 187*c4762a1bSJed Brown } 188*c4762a1bSJed Brown PetscFunctionReturn(0); 189*c4762a1bSJed Brown } 190*c4762a1bSJed Brown 191*c4762a1bSJed Brown int main(int argc,char **argv) 192*c4762a1bSJed Brown { 193*c4762a1bSJed Brown TS ts; /* nonlinear solver */ 194*c4762a1bSJed Brown Vec x; /* solution, residual vectors */ 195*c4762a1bSJed Brown Mat A; /* Jacobian matrix */ 196*c4762a1bSJed Brown PetscInt steps; 197*c4762a1bSJed Brown PetscReal ftime = 0.5; 198*c4762a1bSJed Brown PetscBool monitor = PETSC_FALSE; 199*c4762a1bSJed Brown PetscScalar *x_ptr; 200*c4762a1bSJed Brown PetscMPIInt size; 201*c4762a1bSJed Brown struct _n_User user; 202*c4762a1bSJed Brown PetscErrorCode ierr; 203*c4762a1bSJed Brown 204*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 205*c4762a1bSJed Brown Initialize program 206*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 207*c4762a1bSJed Brown ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr; 208*c4762a1bSJed Brown ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr); 209*c4762a1bSJed Brown if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!"); 210*c4762a1bSJed Brown 211*c4762a1bSJed Brown ierr = RegisterMyARK2();CHKERRQ(ierr); 212*c4762a1bSJed Brown 213*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 214*c4762a1bSJed Brown Set runtime options 215*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 216*c4762a1bSJed Brown user.mu = 1000.0; 217*c4762a1bSJed Brown user.imex = PETSC_TRUE; 218*c4762a1bSJed Brown user.next_output = 0.0; 219*c4762a1bSJed Brown 220*c4762a1bSJed Brown ierr = PetscOptionsGetReal(NULL,NULL,"-mu",&user.mu,NULL);CHKERRQ(ierr); 221*c4762a1bSJed Brown ierr = PetscOptionsGetBool(NULL,NULL,"-imex",&user.imex,NULL);CHKERRQ(ierr); 222*c4762a1bSJed Brown ierr = PetscOptionsGetBool(NULL,NULL,"-monitor",&monitor,NULL);CHKERRQ(ierr); 223*c4762a1bSJed Brown 224*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 225*c4762a1bSJed Brown Create necessary matrix and vectors, solve same ODE on every process 226*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 227*c4762a1bSJed Brown ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr); 228*c4762a1bSJed Brown ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2,2);CHKERRQ(ierr); 229*c4762a1bSJed Brown ierr = MatSetFromOptions(A);CHKERRQ(ierr); 230*c4762a1bSJed Brown ierr = MatSetUp(A);CHKERRQ(ierr); 231*c4762a1bSJed Brown ierr = MatCreateVecs(A,&x,NULL);CHKERRQ(ierr); 232*c4762a1bSJed Brown 233*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 234*c4762a1bSJed Brown Create timestepping solver context 235*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 236*c4762a1bSJed Brown ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr); 237*c4762a1bSJed Brown ierr = TSSetType(ts,TSBEULER);CHKERRQ(ierr); 238*c4762a1bSJed Brown ierr = TSSetRHSFunction(ts,NULL,RHSFunction,&user);CHKERRQ(ierr); 239*c4762a1bSJed Brown ierr = TSSetIFunction(ts,NULL,IFunction,&user);CHKERRQ(ierr); 240*c4762a1bSJed Brown ierr = TSSetIJacobian(ts,A,A,IJacobian,&user);CHKERRQ(ierr); 241*c4762a1bSJed Brown ierr = TSSetMaxTime(ts,ftime);CHKERRQ(ierr); 242*c4762a1bSJed Brown ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);CHKERRQ(ierr); 243*c4762a1bSJed Brown if (monitor) { 244*c4762a1bSJed Brown ierr = TSMonitorSet(ts,Monitor,&user,NULL);CHKERRQ(ierr); 245*c4762a1bSJed Brown } 246*c4762a1bSJed Brown 247*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 248*c4762a1bSJed Brown Set initial conditions 249*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 250*c4762a1bSJed Brown ierr = VecGetArray(x,&x_ptr);CHKERRQ(ierr); 251*c4762a1bSJed Brown x_ptr[0] = 2.0; 252*c4762a1bSJed Brown x_ptr[1] = -2.0/3.0 + 10.0/(81.0*user.mu) - 292.0/(2187.0*user.mu*user.mu); 253*c4762a1bSJed Brown ierr = VecRestoreArray(x,&x_ptr);CHKERRQ(ierr); 254*c4762a1bSJed Brown ierr = TSSetTimeStep(ts,0.01);CHKERRQ(ierr); 255*c4762a1bSJed Brown 256*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 257*c4762a1bSJed Brown Set runtime options 258*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 259*c4762a1bSJed Brown ierr = TSSetFromOptions(ts);CHKERRQ(ierr); 260*c4762a1bSJed Brown 261*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 262*c4762a1bSJed Brown Solve nonlinear system 263*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 264*c4762a1bSJed Brown ierr = TSSolve(ts,x);CHKERRQ(ierr); 265*c4762a1bSJed Brown ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr); 266*c4762a1bSJed Brown ierr = TSGetStepNumber(ts,&steps);CHKERRQ(ierr); 267*c4762a1bSJed Brown ierr = PetscPrintf(PETSC_COMM_WORLD,"mu %g, steps %D, ftime %g\n",(double)user.mu,steps,(double)ftime);CHKERRQ(ierr); 268*c4762a1bSJed Brown ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 269*c4762a1bSJed Brown 270*c4762a1bSJed Brown /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 271*c4762a1bSJed Brown Free work space. All PETSc objects should be destroyed when they 272*c4762a1bSJed Brown are no longer needed. 273*c4762a1bSJed Brown - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ 274*c4762a1bSJed Brown ierr = MatDestroy(&A);CHKERRQ(ierr); 275*c4762a1bSJed Brown ierr = VecDestroy(&x);CHKERRQ(ierr); 276*c4762a1bSJed Brown ierr = TSDestroy(&ts);CHKERRQ(ierr); 277*c4762a1bSJed Brown 278*c4762a1bSJed Brown ierr = PetscFinalize(); 279*c4762a1bSJed Brown return ierr; 280*c4762a1bSJed Brown } 281*c4762a1bSJed Brown 282*c4762a1bSJed Brown /*TEST 283*c4762a1bSJed Brown 284*c4762a1bSJed Brown test: 285*c4762a1bSJed Brown args: -ts_type arkimex -ts_arkimex_type myark2 -ts_adapt_type none 286*c4762a1bSJed Brown requires: !single 287*c4762a1bSJed Brown 288*c4762a1bSJed Brown TEST*/ 289