static char help[] = "Solves the van der Pol equation.\n\ Input parameters include:\n"; /* ------------------------------------------------------------------------ This program solves the van der Pol DAE ODE equivalent y' = z (1) z' = mu[(1-y^2)z-y] on the domain 0 <= x <= 1, with the boundary conditions y(0) = 2, y'(0) = -6.6e-01, and mu = 10^6. This is a nonlinear equation. This is a copy and modification of ex20.c to exactly match a test problem that comes with the Radau5 integrator package. ------------------------------------------------------------------------- */ #include typedef struct _n_User *User; struct _n_User { PetscReal mu; PetscReal next_output; }; static PetscErrorCode IFunction(TS ts, PetscReal t, Vec X, Vec Xdot, Vec F, void *ctx) { User user = (User)ctx; const PetscScalar *x, *xdot; PetscScalar *f; PetscFunctionBeginUser; PetscCall(VecGetArrayRead(X, &x)); PetscCall(VecGetArrayRead(Xdot, &xdot)); PetscCall(VecGetArray(F, &f)); f[0] = xdot[0] - x[1]; f[1] = xdot[1] - user->mu * ((1.0 - x[0] * x[0]) * x[1] - x[0]); PetscCall(VecRestoreArrayRead(X, &x)); PetscCall(VecRestoreArrayRead(Xdot, &xdot)); PetscCall(VecRestoreArray(F, &f)); PetscFunctionReturn(0); } static PetscErrorCode IJacobian(TS ts, PetscReal t, Vec X, Vec Xdot, PetscReal a, Mat A, Mat B, void *ctx) { User user = (User)ctx; PetscInt rowcol[] = {0, 1}; const PetscScalar *x; PetscScalar J[2][2]; PetscFunctionBeginUser; PetscCall(VecGetArrayRead(X, &x)); J[0][0] = a; J[0][1] = -1.0; J[1][0] = user->mu * (1.0 + 2.0 * x[0] * x[1]); J[1][1] = a - user->mu * (1.0 - x[0] * x[0]); PetscCall(MatSetValues(B, 2, rowcol, 2, rowcol, &J[0][0], INSERT_VALUES)); PetscCall(VecRestoreArrayRead(X, &x)); PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY)); if (A != B) { PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); } PetscFunctionReturn(0); } int main(int argc, char **argv) { TS ts; /* nonlinear solver */ Vec x; /* solution, residual vectors */ Mat A; /* Jacobian matrix */ PetscInt steps; PetscReal ftime = 2; PetscScalar *x_ptr; PetscMPIInt size; struct _n_User user; /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Initialize program - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc, &argv, NULL, help)); PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size)); PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "This is a uniprocessor example only!"); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set runtime options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ user.next_output = 0.0; user.mu = 1.0e6; PetscOptionsBegin(PETSC_COMM_WORLD, NULL, "Physical parameters", NULL); PetscCall(PetscOptionsReal("-mu", "Stiffness parameter", "<1.0e6>", user.mu, &user.mu, NULL)); PetscOptionsEnd(); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create necessary matrix and vectors, solve same ODE on every process - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(MatCreate(PETSC_COMM_WORLD, &A)); PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, 2, 2)); PetscCall(MatSetFromOptions(A)); PetscCall(MatSetUp(A)); PetscCall(MatCreateVecs(A, &x, NULL)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Create timestepping solver context - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSCreate(PETSC_COMM_WORLD, &ts)); PetscCall(TSSetType(ts, TSBEULER)); PetscCall(TSSetIFunction(ts, NULL, IFunction, &user)); PetscCall(TSSetIJacobian(ts, A, A, IJacobian, &user)); PetscCall(TSSetMaxTime(ts, ftime)); PetscCall(TSSetExactFinalTime(ts, TS_EXACTFINALTIME_STEPOVER)); PetscCall(TSSetTolerances(ts, 1.e-4, NULL, 1.e-4, NULL)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set initial conditions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(VecGetArray(x, &x_ptr)); x_ptr[0] = 2.0; x_ptr[1] = -6.6e-01; PetscCall(VecRestoreArray(x, &x_ptr)); PetscCall(TSSetTimeStep(ts, .000001)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Set runtime options - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSetFromOptions(ts)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Solve nonlinear system - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(TSSolve(ts, x)); PetscCall(TSGetSolveTime(ts, &ftime)); PetscCall(TSGetStepNumber(ts, &steps)); PetscCall(PetscPrintf(PETSC_COMM_WORLD, "steps %" PetscInt_FMT ", ftime %g\n", steps, (double)ftime)); PetscCall(VecView(x, PETSC_VIEWER_STDOUT_WORLD)); /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Free work space. All PETSc objects should be destroyed when they are no longer needed. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */ PetscCall(MatDestroy(&A)); PetscCall(VecDestroy(&x)); PetscCall(TSDestroy(&ts)); PetscCall(PetscFinalize()); return (0); } /*TEST build: requires: double !complex !defined(PETSC_USE_64BIT_INDICES) radau5 test: args: -ts_monitor_solution -ts_type radau5 TEST*/