static char help[] = "One-Shot Multigrid for Parameter Estimation Problem for the Poisson Equation.\n\ Using the Interior Point Method.\n\n\n"; /*F We are solving the parameter estimation problem for the Laplacian. We will ask to minimize a Lagrangian function over $y$ and $u$, given by \begin{align} L(u, a, \lambda) = \frac{1}{2} || Qu - d_A ||^2 || Qu - d_B ||^2 + \frac{\beta}{2} || L (a - a_r) ||^2 + \lambda F(u; a) \end{align} where $Q$ is a sampling operator, $L$ is a regularization operator, $F$ defines the PDE. Currently, we have perfect information, meaning $Q = I$, and then we need no regularization, $L = I$. We also give the null vector for the reference control $a_r$. Right now $\beta = 1$. The PDE will be the Laplace equation with homogeneous boundary conditions \begin{align} -Delta u = a \end{align} F*/ #include #include typedef enum { RUN_FULL, RUN_TEST } RunType; typedef struct { RunType runType; /* Whether to run tests, or solve the full problem */ PetscBool useDualPenalty; /* Penalize deviation from both goals */ } AppCtx; static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options) { const char *runTypes[2] = {"full", "test"}; PetscInt run; PetscFunctionBeginUser; options->runType = RUN_FULL; options->useDualPenalty = PETSC_FALSE; PetscOptionsBegin(comm, "", "Inverse Problem Options", "DMPLEX"); run = options->runType; PetscCall(PetscOptionsEList("-run_type", "The run type", "ex2.c", runTypes, 2, runTypes[options->runType], &run, NULL)); options->runType = (RunType)run; PetscCall(PetscOptionsBool("-use_dual_penalty", "Penalize deviation from both goals", "ex2.c", options->useDualPenalty, &options->useDualPenalty, NULL)); PetscOptionsEnd(); PetscFunctionReturn(PETSC_SUCCESS); } static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm) { PetscFunctionBeginUser; PetscCall(DMCreate(comm, dm)); PetscCall(DMSetType(*dm, DMPLEX)); PetscCall(DMSetFromOptions(*dm)); PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view")); PetscFunctionReturn(PETSC_SUCCESS); } void f0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = (u[0] - (x[0] * x[0] + x[1] * x[1])); } void f0_u_full(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = (u[0] - (x[0] * x[0] + x[1] * x[1])) * PetscSqr(u[0] - (sin(2.0 * PETSC_PI * x[0]) * sin(2.0 * PETSC_PI * x[1]))) + PetscSqr(u[0] - (x[0] * x[0] + x[1] * x[1])) * (u[0] - (sin(2.0 * PETSC_PI * x[0]) * sin(2.0 * PETSC_PI * x[1]))); } void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscInt d; for (d = 0; d < dim; ++d) f1[d] = u_x[dim * 2 + d]; } void g0_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { g0[0] = 1.0; } void g0_uu_full(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { g0[0] = PetscSqr(u[0] - sin(2.0 * PETSC_PI * x[0]) * sin(2.0 * PETSC_PI * x[1])) + PetscSqr(u[0] - (x[0] * x[0] + x[1] * x[1])) - 2.0 * ((x[0] * x[0] + x[1] * x[1]) + (sin(2.0 * PETSC_PI * x[0]) * sin(2.0 * PETSC_PI * x[1]))) * u[0] + 4.0 * (x[0] * x[0] + x[1] * x[1]) * (sin(2.0 * PETSC_PI * x[0]) * sin(2.0 * PETSC_PI * x[1])); } void g3_ul(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscInt d; for (d = 0; d < dim; ++d) g3[d * dim + d] = 1.0; } void f0_a(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = u[1] - 4.0 /* 0.0 */ + u[2]; } void g0_aa(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { g0[0] = 1.0; } void g0_al(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { g0[0] = 1.0; } void f0_l(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[]) { f0[0] = u[1]; } void f1_l(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[]) { PetscInt d; for (d = 0; d < dim; ++d) f1[d] = u_x[d]; } void g0_la(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g0[]) { g0[0] = 1.0; } void g3_lu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[]) { PetscInt d; for (d = 0; d < dim; ++d) g3[d * dim + d] = 1.0; } /* In 2D for Dirichlet conditions with a variable coefficient, we use exact solution: u = x^2 + y^2 a = 4 d_A = 4 d_B = sin(2*pi*x[0]) * sin(2*pi*x[1]) so that -\Delta u + a = -4 + 4 = 0 */ PetscErrorCode quadratic_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, PetscCtx ctx) { *u = x[0] * x[0] + x[1] * x[1]; return PETSC_SUCCESS; } PetscErrorCode constant_a_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *a, PetscCtx ctx) { *a = 4; return PETSC_SUCCESS; } PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *l, PetscCtx ctx) { *l = 0.0; return PETSC_SUCCESS; } PetscErrorCode SetupProblem(DM dm, AppCtx *user) { PetscDS ds; DMLabel label; const PetscInt id = 1; PetscFunctionBeginUser; PetscCall(DMGetDS(dm, &ds)); PetscCall(PetscDSSetResidual(ds, 0, user->useDualPenalty == PETSC_TRUE ? f0_u_full : f0_u, f1_u)); PetscCall(PetscDSSetResidual(ds, 1, f0_a, NULL)); PetscCall(PetscDSSetResidual(ds, 2, f0_l, f1_l)); PetscCall(PetscDSSetJacobian(ds, 0, 0, user->useDualPenalty == PETSC_TRUE ? g0_uu_full : g0_uu, NULL, NULL, NULL)); PetscCall(PetscDSSetJacobian(ds, 0, 2, NULL, NULL, NULL, g3_ul)); PetscCall(PetscDSSetJacobian(ds, 1, 1, g0_aa, NULL, NULL, NULL)); PetscCall(PetscDSSetJacobian(ds, 1, 2, g0_al, NULL, NULL, NULL)); PetscCall(PetscDSSetJacobian(ds, 2, 1, g0_la, NULL, NULL, NULL)); PetscCall(PetscDSSetJacobian(ds, 2, 0, NULL, NULL, NULL, g3_lu)); PetscCall(PetscDSSetExactSolution(ds, 0, quadratic_u_2d, NULL)); PetscCall(PetscDSSetExactSolution(ds, 1, constant_a_2d, NULL)); PetscCall(PetscDSSetExactSolution(ds, 2, zero, NULL)); PetscCall(DMGetLabel(dm, "marker", &label)); PetscCall(DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, (PetscVoidFn *)quadratic_u_2d, NULL, user, NULL)); PetscCall(DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 1, 0, NULL, (PetscVoidFn *)constant_a_2d, NULL, user, NULL)); PetscCall(DMAddBoundary(dm, DM_BC_ESSENTIAL, "wall", label, 1, &id, 2, 0, NULL, (PetscVoidFn *)zero, NULL, user, NULL)); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode SetupDiscretization(DM dm, AppCtx *user) { DM cdm = dm; const PetscInt dim = 2; PetscFE fe[3]; PetscInt f; MPI_Comm comm; PetscFunctionBeginUser; /* Create finite element */ PetscCall(PetscObjectGetComm((PetscObject)dm, &comm)); PetscCall(PetscFECreateDefault(comm, dim, 1, PETSC_TRUE, "potential_", -1, &fe[0])); PetscCall(PetscObjectSetName((PetscObject)fe[0], "potential")); PetscCall(PetscFECreateDefault(comm, dim, 1, PETSC_TRUE, "charge_", -1, &fe[1])); PetscCall(PetscObjectSetName((PetscObject)fe[1], "charge")); PetscCall(PetscFECopyQuadrature(fe[0], fe[1])); PetscCall(PetscFECreateDefault(comm, dim, 1, PETSC_TRUE, "multiplier_", -1, &fe[2])); PetscCall(PetscObjectSetName((PetscObject)fe[2], "multiplier")); PetscCall(PetscFECopyQuadrature(fe[0], fe[2])); /* Set discretization and boundary conditions for each mesh */ for (f = 0; f < 3; ++f) PetscCall(DMSetField(dm, f, NULL, (PetscObject)fe[f])); PetscCall(DMCreateDS(cdm)); PetscCall(SetupProblem(dm, user)); while (cdm) { PetscCall(DMCopyDisc(dm, cdm)); PetscCall(DMGetCoarseDM(cdm, &cdm)); } for (f = 0; f < 3; ++f) PetscCall(PetscFEDestroy(&fe[f])); PetscFunctionReturn(PETSC_SUCCESS); } int main(int argc, char **argv) { DM dm; SNES snes; Vec u, r; AppCtx user; PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc, &argv, NULL, help)); PetscCall(ProcessOptions(PETSC_COMM_WORLD, &user)); PetscCall(SNESCreate(PETSC_COMM_WORLD, &snes)); PetscCall(CreateMesh(PETSC_COMM_WORLD, &user, &dm)); PetscCall(SNESSetDM(snes, dm)); PetscCall(SetupDiscretization(dm, &user)); PetscCall(DMCreateGlobalVector(dm, &u)); PetscCall(PetscObjectSetName((PetscObject)u, "solution")); PetscCall(VecDuplicate(u, &r)); PetscCall(DMPlexSetSNESLocalFEM(dm, PETSC_FALSE, &user)); PetscCall(SNESSetFromOptions(snes)); PetscCall(DMSNESCheckFromOptions(snes, u)); if (user.runType == RUN_FULL) { PetscDS ds; PetscErrorCode (*exactFuncs[3])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar *u, PetscCtx ctx); PetscErrorCode (*initialGuess[3])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nf, PetscScalar u[], PetscCtx ctx); PetscReal error; PetscCall(DMGetDS(dm, &ds)); PetscCall(PetscDSGetExactSolution(ds, 0, &exactFuncs[0], NULL)); PetscCall(PetscDSGetExactSolution(ds, 1, &exactFuncs[1], NULL)); PetscCall(PetscDSGetExactSolution(ds, 2, &exactFuncs[2], NULL)); initialGuess[0] = zero; initialGuess[1] = zero; initialGuess[2] = zero; PetscCall(DMProjectFunction(dm, 0.0, initialGuess, NULL, INSERT_VALUES, u)); PetscCall(VecViewFromOptions(u, NULL, "-initial_vec_view")); PetscCall(DMComputeL2Diff(dm, 0.0, exactFuncs, NULL, u, &error)); if (error < 1.0e-11) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial L_2 Error: < 1.0e-11\n")); else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial L_2 Error: %g\n", (double)error)); PetscCall(SNESSolve(snes, NULL, u)); PetscCall(DMComputeL2Diff(dm, 0.0, exactFuncs, NULL, u, &error)); if (error < 1.0e-11) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Final L_2 Error: < 1.0e-11\n")); else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Final L_2 Error: %g\n", (double)error)); } PetscCall(VecViewFromOptions(u, NULL, "-sol_vec_view")); PetscCall(VecDestroy(&u)); PetscCall(VecDestroy(&r)); PetscCall(SNESDestroy(&snes)); PetscCall(DMDestroy(&dm)); PetscCall(PetscFinalize()); return 0; } /*TEST build: requires: !complex triangle test: suffix: 0 args: -run_type test -dmsnes_check -potential_petscspace_degree 2 -charge_petscspace_degree 1 -multiplier_petscspace_degree 1 test: suffix: 1 args: -potential_petscspace_degree 2 -charge_petscspace_degree 1 -multiplier_petscspace_degree 1 -snes_monitor -snes_converged_reason -pc_type fieldsplit -pc_fieldsplit_0_fields 0,1 -pc_fieldsplit_1_fields 2 -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type full -pc_fieldsplit_schur_precondition selfp -fieldsplit_0_pc_type lu -sol_vec_view test: suffix: 2 args: -potential_petscspace_degree 2 -charge_petscspace_degree 1 -multiplier_petscspace_degree 1 -snes_monitor -snes_converged_reason -snes_fd -pc_type fieldsplit -pc_fieldsplit_0_fields 0,1 -pc_fieldsplit_1_fields 2 -pc_fieldsplit_type schur -pc_fieldsplit_schur_factorization_type full -pc_fieldsplit_schur_precondition selfp -fieldsplit_0_pc_type lu -sol_vec_view TEST*/