/* Program usage: mpiexec -n minsurf2 [-help] [all TAO options] */ /* Include "petsctao.h" so we can use TAO solvers. petscdmda.h for distributed array */ #include #include static char help[] = "This example demonstrates use of the TAO package to \n\ solve an unconstrained minimization problem. This example is based on a \n\ problem from the MINPACK-2 test suite. Given a rectangular 2-D domain and \n\ boundary values along the edges of the domain, the objective is to find the\n\ surface with the minimal area that satisfies the boundary conditions.\n\ The command line options are:\n\ -da_grid_x , where = number of grid points in the 1st coordinate direction\n\ -da_grid_y , where = number of grid points in the 2nd coordinate direction\n\ -start , where =0 for zero vector, >0 for random start, and <0 \n\ for an average of the boundary conditions\n\n"; /* User-defined application context - contains data needed by the application-provided call-back routines, FormFunction(), FormFunctionGradient(), and FormHessian(). */ typedef struct { PetscInt mx, my; /* discretization in x, y directions */ PetscReal *bottom, *top, *left, *right; /* boundary values */ DM dm; /* distributed array data structure */ Mat H; /* Hessian */ } AppCtx; /* -------- User-defined Routines --------- */ static PetscErrorCode MSA_BoundaryConditions(AppCtx *); static PetscErrorCode MSA_InitialPoint(AppCtx *, Vec); static PetscErrorCode QuadraticH(AppCtx *, Vec, Mat); static PetscErrorCode FormFunction(Tao, Vec, PetscReal *, void *); static PetscErrorCode FormFunctionGradient(Tao, Vec, PetscReal *, Vec, void *); static PetscErrorCode FormGradient(Tao, Vec, Vec, void *); static PetscErrorCode FormHessian(Tao, Vec, Mat, Mat, void *); static PetscErrorCode My_Monitor(Tao, void *); int main(int argc, char **argv) { Vec x; /* solution, gradient vectors */ PetscBool viewmat; /* flags */ PetscBool fddefault, fdcoloring; /* flags */ Tao tao; /* TAO solver context */ AppCtx user; /* user-defined work context */ ISColoring iscoloring; MatFDColoring matfdcoloring; /* Initialize TAO */ PetscFunctionBeginUser; PetscCall(PetscInitialize(&argc, &argv, NULL, help)); /* Create distributed array (DM) to manage parallel grid and vectors */ PetscCall(DMDACreate2d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE, DMDA_STENCIL_BOX, 10, 10, PETSC_DECIDE, PETSC_DECIDE, 1, 1, NULL, NULL, &user.dm)); PetscCall(DMSetFromOptions(user.dm)); PetscCall(DMSetUp(user.dm)); PetscCall(DMDASetUniformCoordinates(user.dm, -0.5, 0.5, -0.5, 0.5, PETSC_DECIDE, PETSC_DECIDE)); PetscCall(DMDAGetInfo(user.dm, PETSC_IGNORE, &user.mx, &user.my, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE)); PetscCall(PetscPrintf(MPI_COMM_WORLD, "\n---- Minimum Surface Area Problem -----\n")); PetscCall(PetscPrintf(MPI_COMM_WORLD, "mx: %" PetscInt_FMT " my: %" PetscInt_FMT " \n\n", user.mx, user.my)); /* Create TAO solver and set desired solution method.*/ PetscCall(TaoCreate(PETSC_COMM_WORLD, &tao)); PetscCall(TaoSetType(tao, TAOCG)); /* Extract global vector from DA for the vector of variables -- PETSc routine Compute the initial solution -- application specific, see below Set this vector for use by TAO -- TAO routine */ PetscCall(DMCreateGlobalVector(user.dm, &x)); PetscCall(MSA_BoundaryConditions(&user)); PetscCall(MSA_InitialPoint(&user, x)); PetscCall(TaoSetSolution(tao, x)); /* Initialize the Application context for use in function evaluations -- application specific, see below. Set routines for function and gradient evaluation */ PetscCall(TaoSetObjective(tao, FormFunction, (void *)&user)); PetscCall(TaoSetObjectiveAndGradient(tao, NULL, FormFunctionGradient, (void *)&user)); /* Given the command line arguments, calculate the hessian with either the user- provided function FormHessian, or the default finite-difference driven Hessian functions */ PetscCall(PetscOptionsHasName(NULL, NULL, "-tao_fddefault", &fddefault)); PetscCall(PetscOptionsHasName(NULL, NULL, "-tao_fdcoloring", &fdcoloring)); /* Create a matrix data structure to store the Hessian and set the Hessian evaluation routine. Set the matrix nonzero structure to be used for Hessian evaluations */ PetscCall(DMCreateMatrix(user.dm, &user.H)); PetscCall(MatSetOption(user.H, MAT_SYMMETRIC, PETSC_TRUE)); if (fdcoloring) { PetscCall(DMCreateColoring(user.dm, IS_COLORING_GLOBAL, &iscoloring)); PetscCall(MatFDColoringCreate(user.H, iscoloring, &matfdcoloring)); PetscCall(ISColoringDestroy(&iscoloring)); PetscCall(MatFDColoringSetFunction(matfdcoloring, (MatFDColoringFn *)FormGradient, (void *)&user)); PetscCall(MatFDColoringSetFromOptions(matfdcoloring)); PetscCall(TaoSetHessian(tao, user.H, user.H, TaoDefaultComputeHessianColor, (void *)matfdcoloring)); } else if (fddefault) { PetscCall(TaoSetHessian(tao, user.H, user.H, TaoDefaultComputeHessian, (void *)NULL)); } else { PetscCall(TaoSetHessian(tao, user.H, user.H, FormHessian, (void *)&user)); } /* If my_monitor option is in command line, then use the user-provided monitoring function */ PetscCall(PetscOptionsHasName(NULL, NULL, "-my_monitor", &viewmat)); if (viewmat) PetscCall(TaoMonitorSet(tao, My_Monitor, NULL, NULL)); /* Check for any tao command line options */ PetscCall(TaoSetFromOptions(tao)); /* SOLVE THE APPLICATION */ PetscCall(TaoSolve(tao)); PetscCall(TaoView(tao, PETSC_VIEWER_STDOUT_WORLD)); /* Free TAO data structures */ PetscCall(TaoDestroy(&tao)); /* Free PETSc data structures */ PetscCall(VecDestroy(&x)); PetscCall(MatDestroy(&user.H)); if (fdcoloring) PetscCall(MatFDColoringDestroy(&matfdcoloring)); PetscCall(PetscFree(user.bottom)); PetscCall(PetscFree(user.top)); PetscCall(PetscFree(user.left)); PetscCall(PetscFree(user.right)); PetscCall(DMDestroy(&user.dm)); PetscCall(PetscFinalize()); return 0; } /* -------------------------------------------------------------------- */ /* FormFunction - Evaluates the objective function. Input Parameters: . tao - the Tao context . X - input vector . userCtx - optional user-defined context, as set by TaoSetObjective() Output Parameters: . fcn - the newly evaluated function */ PetscErrorCode FormFunction(Tao tao, Vec X, PetscReal *fcn, void *userCtx) { AppCtx *user = (AppCtx *)userCtx; PetscInt i, j; PetscInt mx = user->mx, my = user->my; PetscInt xs, xm, gxs, gxm, ys, ym, gys, gym; PetscReal ft = 0.0; PetscReal hx = 1.0 / (mx + 1), hy = 1.0 / (my + 1), area = 0.5 * hx * hy; PetscReal rhx = mx + 1, rhy = my + 1; PetscReal f2, f4, d1, d2, d3, d4, xc, xl, xr, xt, xb; PetscReal **x; Vec localX; PetscFunctionBegin; /* Get local mesh boundaries */ PetscCall(DMGetLocalVector(user->dm, &localX)); PetscCall(DMDAGetCorners(user->dm, &xs, &ys, NULL, &xm, &ym, NULL)); PetscCall(DMDAGetGhostCorners(user->dm, &gxs, &gys, NULL, &gxm, &gym, NULL)); /* Scatter ghost points to local vector */ PetscCall(DMGlobalToLocalBegin(user->dm, X, INSERT_VALUES, localX)); PetscCall(DMGlobalToLocalEnd(user->dm, X, INSERT_VALUES, localX)); /* Get pointers to vector data */ PetscCall(DMDAVecGetArray(user->dm, localX, (void **)&x)); /* Compute function and gradient over the locally owned part of the mesh */ for (j = ys; j < ys + ym; j++) { for (i = xs; i < xs + xm; i++) { xc = x[j][i]; if (i == 0) { /* left side */ xl = user->left[j - ys + 1]; } else { xl = x[j][i - 1]; } if (j == 0) { /* bottom side */ xb = user->bottom[i - xs + 1]; } else { xb = x[j - 1][i]; } if (i + 1 == gxs + gxm) { /* right side */ xr = user->right[j - ys + 1]; } else { xr = x[j][i + 1]; } if (j + 1 == gys + gym) { /* top side */ xt = user->top[i - xs + 1]; } else { xt = x[j + 1][i]; } d1 = (xc - xl); d2 = (xc - xr); d3 = (xc - xt); d4 = (xc - xb); d1 *= rhx; d2 *= rhx; d3 *= rhy; d4 *= rhy; f2 = PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); f4 = PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); ft = ft + (f2 + f4); } } /* Compute triangular areas along the border of the domain. */ if (xs == 0) { /* left side */ for (j = ys; j < ys + ym; j++) { d3 = (user->left[j - ys + 1] - user->left[j - ys + 2]) * rhy; d2 = (user->left[j - ys + 1] - x[j][0]) * rhx; ft = ft + PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); } } if (ys == 0) { /* bottom side */ for (i = xs; i < xs + xm; i++) { d2 = (user->bottom[i + 1 - xs] - user->bottom[i - xs + 2]) * rhx; d3 = (user->bottom[i - xs + 1] - x[0][i]) * rhy; ft = ft + PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); } } if (xs + xm == mx) { /* right side */ for (j = ys; j < ys + ym; j++) { d1 = (x[j][mx - 1] - user->right[j - ys + 1]) * rhx; d4 = (user->right[j - ys] - user->right[j - ys + 1]) * rhy; ft = ft + PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); } } if (ys + ym == my) { /* top side */ for (i = xs; i < xs + xm; i++) { d1 = (x[my - 1][i] - user->top[i - xs + 1]) * rhy; d4 = (user->top[i - xs + 1] - user->top[i - xs]) * rhx; ft = ft + PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); } } if (ys == 0 && xs == 0) { d1 = (user->left[0] - user->left[1]) / hy; d2 = (user->bottom[0] - user->bottom[1]) * rhx; ft += PetscSqrtReal(1.0 + d1 * d1 + d2 * d2); } if (ys + ym == my && xs + xm == mx) { d1 = (user->right[ym + 1] - user->right[ym]) * rhy; d2 = (user->top[xm + 1] - user->top[xm]) * rhx; ft += PetscSqrtReal(1.0 + d1 * d1 + d2 * d2); } ft = ft * area; PetscCallMPI(MPIU_Allreduce(&ft, fcn, 1, MPIU_REAL, MPIU_SUM, MPI_COMM_WORLD)); /* Restore vectors */ PetscCall(DMDAVecRestoreArray(user->dm, localX, (void **)&x)); PetscCall(DMRestoreLocalVector(user->dm, &localX)); PetscFunctionReturn(PETSC_SUCCESS); } /* -------------------------------------------------------------------- */ /* FormFunctionGradient - Evaluates the function and corresponding gradient. Input Parameters: . tao - the Tao context . X - input vector . userCtx - optional user-defined context, as set by TaoSetObjectiveAndGradient() Output Parameters: . fcn - the newly evaluated function . G - vector containing the newly evaluated gradient */ PetscErrorCode FormFunctionGradient(Tao tao, Vec X, PetscReal *fcn, Vec G, void *userCtx) { AppCtx *user = (AppCtx *)userCtx; PetscInt i, j; PetscInt mx = user->mx, my = user->my; PetscInt xs, xm, gxs, gxm, ys, ym, gys, gym; PetscReal ft = 0.0; PetscReal hx = 1.0 / (mx + 1), hy = 1.0 / (my + 1), hydhx = hy / hx, hxdhy = hx / hy, area = 0.5 * hx * hy; PetscReal rhx = mx + 1, rhy = my + 1; PetscReal f1, f2, f3, f4, f5, f6, d1, d2, d3, d4, d5, d6, d7, d8, xc, xl, xr, xt, xb, xlt, xrb; PetscReal df1dxc, df2dxc, df3dxc, df4dxc, df5dxc, df6dxc; PetscReal **g, **x; Vec localX; PetscFunctionBegin; /* Get local mesh boundaries */ PetscCall(DMGetLocalVector(user->dm, &localX)); PetscCall(DMDAGetCorners(user->dm, &xs, &ys, NULL, &xm, &ym, NULL)); PetscCall(DMDAGetGhostCorners(user->dm, &gxs, &gys, NULL, &gxm, &gym, NULL)); /* Scatter ghost points to local vector */ PetscCall(DMGlobalToLocalBegin(user->dm, X, INSERT_VALUES, localX)); PetscCall(DMGlobalToLocalEnd(user->dm, X, INSERT_VALUES, localX)); /* Get pointers to vector data */ PetscCall(DMDAVecGetArray(user->dm, localX, (void **)&x)); PetscCall(DMDAVecGetArray(user->dm, G, (void **)&g)); /* Compute function and gradient over the locally owned part of the mesh */ for (j = ys; j < ys + ym; j++) { for (i = xs; i < xs + xm; i++) { xc = x[j][i]; xlt = xrb = xl = xr = xb = xt = xc; if (i == 0) { /* left side */ xl = user->left[j - ys + 1]; xlt = user->left[j - ys + 2]; } else { xl = x[j][i - 1]; } if (j == 0) { /* bottom side */ xb = user->bottom[i - xs + 1]; xrb = user->bottom[i - xs + 2]; } else { xb = x[j - 1][i]; } if (i + 1 == gxs + gxm) { /* right side */ xr = user->right[j - ys + 1]; xrb = user->right[j - ys]; } else { xr = x[j][i + 1]; } if (j + 1 == gys + gym) { /* top side */ xt = user->top[i - xs + 1]; xlt = user->top[i - xs]; } else { xt = x[j + 1][i]; } if (i > gxs && j + 1 < gys + gym) xlt = x[j + 1][i - 1]; if (j > gys && i + 1 < gxs + gxm) xrb = x[j - 1][i + 1]; d1 = (xc - xl); d2 = (xc - xr); d3 = (xc - xt); d4 = (xc - xb); d5 = (xr - xrb); d6 = (xrb - xb); d7 = (xlt - xl); d8 = (xt - xlt); df1dxc = d1 * hydhx; df2dxc = (d1 * hydhx + d4 * hxdhy); df3dxc = d3 * hxdhy; df4dxc = (d2 * hydhx + d3 * hxdhy); df5dxc = d2 * hydhx; df6dxc = d4 * hxdhy; d1 *= rhx; d2 *= rhx; d3 *= rhy; d4 *= rhy; d5 *= rhy; d6 *= rhx; d7 *= rhy; d8 *= rhx; f1 = PetscSqrtReal(1.0 + d1 * d1 + d7 * d7); f2 = PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); f3 = PetscSqrtReal(1.0 + d3 * d3 + d8 * d8); f4 = PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); f5 = PetscSqrtReal(1.0 + d2 * d2 + d5 * d5); f6 = PetscSqrtReal(1.0 + d4 * d4 + d6 * d6); ft = ft + (f2 + f4); df1dxc /= f1; df2dxc /= f2; df3dxc /= f3; df4dxc /= f4; df5dxc /= f5; df6dxc /= f6; g[j][i] = (df1dxc + df2dxc + df3dxc + df4dxc + df5dxc + df6dxc) * 0.5; } } /* Compute triangular areas along the border of the domain. */ if (xs == 0) { /* left side */ for (j = ys; j < ys + ym; j++) { d3 = (user->left[j - ys + 1] - user->left[j - ys + 2]) * rhy; d2 = (user->left[j - ys + 1] - x[j][0]) * rhx; ft = ft + PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); } } if (ys == 0) { /* bottom side */ for (i = xs; i < xs + xm; i++) { d2 = (user->bottom[i + 1 - xs] - user->bottom[i - xs + 2]) * rhx; d3 = (user->bottom[i - xs + 1] - x[0][i]) * rhy; ft = ft + PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); } } if (xs + xm == mx) { /* right side */ for (j = ys; j < ys + ym; j++) { d1 = (x[j][mx - 1] - user->right[j - ys + 1]) * rhx; d4 = (user->right[j - ys] - user->right[j - ys + 1]) * rhy; ft = ft + PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); } } if (ys + ym == my) { /* top side */ for (i = xs; i < xs + xm; i++) { d1 = (x[my - 1][i] - user->top[i - xs + 1]) * rhy; d4 = (user->top[i - xs + 1] - user->top[i - xs]) * rhx; ft = ft + PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); } } if (ys == 0 && xs == 0) { d1 = (user->left[0] - user->left[1]) / hy; d2 = (user->bottom[0] - user->bottom[1]) * rhx; ft += PetscSqrtReal(1.0 + d1 * d1 + d2 * d2); } if (ys + ym == my && xs + xm == mx) { d1 = (user->right[ym + 1] - user->right[ym]) * rhy; d2 = (user->top[xm + 1] - user->top[xm]) * rhx; ft += PetscSqrtReal(1.0 + d1 * d1 + d2 * d2); } ft = ft * area; PetscCallMPI(MPIU_Allreduce(&ft, fcn, 1, MPIU_REAL, MPIU_SUM, MPI_COMM_WORLD)); /* Restore vectors */ PetscCall(DMDAVecRestoreArray(user->dm, localX, (void **)&x)); PetscCall(DMDAVecRestoreArray(user->dm, G, (void **)&g)); PetscCall(DMRestoreLocalVector(user->dm, &localX)); PetscCall(PetscLogFlops(67.0 * xm * ym)); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode FormGradient(Tao tao, Vec X, Vec G, void *userCtx) { PetscReal fcn; PetscFunctionBegin; PetscCall(FormFunctionGradient(tao, X, &fcn, G, userCtx)); PetscFunctionReturn(PETSC_SUCCESS); } /* ------------------------------------------------------------------- */ /* FormHessian - Evaluates Hessian matrix. Input Parameters: . tao - the Tao context . x - input vector . ptr - optional user-defined context, as set by TaoSetHessian() Output Parameters: . H - Hessian matrix . Hpre - optionally different matrix used to compute the preconditioner */ PetscErrorCode FormHessian(Tao tao, Vec X, Mat H, Mat Hpre, void *ptr) { AppCtx *user = (AppCtx *)ptr; PetscFunctionBegin; /* Evaluate the Hessian entries*/ PetscCall(QuadraticH(user, X, H)); PetscFunctionReturn(PETSC_SUCCESS); } /* ------------------------------------------------------------------- */ /* QuadraticH - Evaluates Hessian matrix. Input Parameters: . user - user-defined context, as set by TaoSetHessian() . X - input vector Output Parameter: . H - Hessian matrix */ PetscErrorCode QuadraticH(AppCtx *user, Vec X, Mat Hessian) { PetscInt i, j, k; PetscInt mx = user->mx, my = user->my; PetscInt xs, xm, gxs, gxm, ys, ym, gys, gym; PetscReal hx = 1.0 / (mx + 1), hy = 1.0 / (my + 1), hydhx = hy / hx, hxdhy = hx / hy; PetscReal f1, f2, f3, f4, f5, f6, d1, d2, d3, d4, d5, d6, d7, d8, xc, xl, xr, xt, xb, xlt, xrb; PetscReal hl, hr, ht, hb, hc, htl, hbr; PetscReal **x, v[7]; MatStencil col[7], row; Vec localX; PetscBool assembled; PetscFunctionBegin; /* Get local mesh boundaries */ PetscCall(DMGetLocalVector(user->dm, &localX)); PetscCall(DMDAGetCorners(user->dm, &xs, &ys, NULL, &xm, &ym, NULL)); PetscCall(DMDAGetGhostCorners(user->dm, &gxs, &gys, NULL, &gxm, &gym, NULL)); /* Scatter ghost points to local vector */ PetscCall(DMGlobalToLocalBegin(user->dm, X, INSERT_VALUES, localX)); PetscCall(DMGlobalToLocalEnd(user->dm, X, INSERT_VALUES, localX)); /* Get pointers to vector data */ PetscCall(DMDAVecGetArray(user->dm, localX, (void **)&x)); /* Initialize matrix entries to zero */ PetscCall(MatAssembled(Hessian, &assembled)); if (assembled) PetscCall(MatZeroEntries(Hessian)); /* Set various matrix options */ PetscCall(MatSetOption(Hessian, MAT_IGNORE_OFF_PROC_ENTRIES, PETSC_TRUE)); /* Compute Hessian over the locally owned part of the mesh */ for (j = ys; j < ys + ym; j++) { for (i = xs; i < xs + xm; i++) { xc = x[j][i]; xlt = xrb = xl = xr = xb = xt = xc; /* Left side */ if (i == 0) { xl = user->left[j - ys + 1]; xlt = user->left[j - ys + 2]; } else { xl = x[j][i - 1]; } if (j == 0) { xb = user->bottom[i - xs + 1]; xrb = user->bottom[i - xs + 2]; } else { xb = x[j - 1][i]; } if (i + 1 == mx) { xr = user->right[j - ys + 1]; xrb = user->right[j - ys]; } else { xr = x[j][i + 1]; } if (j + 1 == my) { xt = user->top[i - xs + 1]; xlt = user->top[i - xs]; } else { xt = x[j + 1][i]; } if (i > 0 && j + 1 < my) xlt = x[j + 1][i - 1]; if (j > 0 && i + 1 < mx) xrb = x[j - 1][i + 1]; d1 = (xc - xl) / hx; d2 = (xc - xr) / hx; d3 = (xc - xt) / hy; d4 = (xc - xb) / hy; d5 = (xrb - xr) / hy; d6 = (xrb - xb) / hx; d7 = (xlt - xl) / hy; d8 = (xlt - xt) / hx; f1 = PetscSqrtReal(1.0 + d1 * d1 + d7 * d7); f2 = PetscSqrtReal(1.0 + d1 * d1 + d4 * d4); f3 = PetscSqrtReal(1.0 + d3 * d3 + d8 * d8); f4 = PetscSqrtReal(1.0 + d3 * d3 + d2 * d2); f5 = PetscSqrtReal(1.0 + d2 * d2 + d5 * d5); f6 = PetscSqrtReal(1.0 + d4 * d4 + d6 * d6); hl = (-hydhx * (1.0 + d7 * d7) + d1 * d7) / (f1 * f1 * f1) + (-hydhx * (1.0 + d4 * d4) + d1 * d4) / (f2 * f2 * f2); hr = (-hydhx * (1.0 + d5 * d5) + d2 * d5) / (f5 * f5 * f5) + (-hydhx * (1.0 + d3 * d3) + d2 * d3) / (f4 * f4 * f4); ht = (-hxdhy * (1.0 + d8 * d8) + d3 * d8) / (f3 * f3 * f3) + (-hxdhy * (1.0 + d2 * d2) + d2 * d3) / (f4 * f4 * f4); hb = (-hxdhy * (1.0 + d6 * d6) + d4 * d6) / (f6 * f6 * f6) + (-hxdhy * (1.0 + d1 * d1) + d1 * d4) / (f2 * f2 * f2); hbr = -d2 * d5 / (f5 * f5 * f5) - d4 * d6 / (f6 * f6 * f6); htl = -d1 * d7 / (f1 * f1 * f1) - d3 * d8 / (f3 * f3 * f3); hc = hydhx * (1.0 + d7 * d7) / (f1 * f1 * f1) + hxdhy * (1.0 + d8 * d8) / (f3 * f3 * f3) + hydhx * (1.0 + d5 * d5) / (f5 * f5 * f5) + hxdhy * (1.0 + d6 * d6) / (f6 * f6 * f6) + (hxdhy * (1.0 + d1 * d1) + hydhx * (1.0 + d4 * d4) - 2 * d1 * d4) / (f2 * f2 * f2) + (hxdhy * (1.0 + d2 * d2) + hydhx * (1.0 + d3 * d3) - 2 * d2 * d3) / (f4 * f4 * f4); hl /= 2.0; hr /= 2.0; ht /= 2.0; hb /= 2.0; hbr /= 2.0; htl /= 2.0; hc /= 2.0; row.j = j; row.i = i; k = 0; if (j > 0) { v[k] = hb; col[k].j = j - 1; col[k].i = i; k++; } if (j > 0 && i < mx - 1) { v[k] = hbr; col[k].j = j - 1; col[k].i = i + 1; k++; } if (i > 0) { v[k] = hl; col[k].j = j; col[k].i = i - 1; k++; } v[k] = hc; col[k].j = j; col[k].i = i; k++; if (i < mx - 1) { v[k] = hr; col[k].j = j; col[k].i = i + 1; k++; } if (i > 0 && j < my - 1) { v[k] = htl; col[k].j = j + 1; col[k].i = i - 1; k++; } if (j < my - 1) { v[k] = ht; col[k].j = j + 1; col[k].i = i; k++; } /* Set matrix values using local numbering, which was defined earlier, in the main routine. */ PetscCall(MatSetValuesStencil(Hessian, 1, &row, k, col, v, INSERT_VALUES)); } } PetscCall(DMDAVecRestoreArray(user->dm, localX, (void **)&x)); PetscCall(DMRestoreLocalVector(user->dm, &localX)); PetscCall(MatAssemblyBegin(Hessian, MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(Hessian, MAT_FINAL_ASSEMBLY)); PetscCall(PetscLogFlops(199.0 * xm * ym)); PetscFunctionReturn(PETSC_SUCCESS); } /* ------------------------------------------------------------------- */ /* MSA_BoundaryConditions - Calculates the boundary conditions for the region. Input Parameter: . user - user-defined application context Output Parameter: . user - user-defined application context */ static PetscErrorCode MSA_BoundaryConditions(AppCtx *user) { PetscInt i, j, k, limit = 0, maxits = 5; PetscInt xs, ys, xm, ym, gxs, gys, gxm, gym; PetscInt mx = user->mx, my = user->my; PetscInt bsize = 0, lsize = 0, tsize = 0, rsize = 0; PetscReal one = 1.0, two = 2.0, three = 3.0, tol = 1e-10; PetscReal fnorm, det, hx, hy, xt = 0, yt = 0; PetscReal u1, u2, nf1, nf2, njac11, njac12, njac21, njac22; PetscReal b = -0.5, t = 0.5, l = -0.5, r = 0.5; PetscReal *boundary; PetscBool flg; PetscFunctionBegin; /* Get local mesh boundaries */ PetscCall(DMDAGetCorners(user->dm, &xs, &ys, NULL, &xm, &ym, NULL)); PetscCall(DMDAGetGhostCorners(user->dm, &gxs, &gys, NULL, &gxm, &gym, NULL)); bsize = xm + 2; lsize = ym + 2; rsize = ym + 2; tsize = xm + 2; PetscCall(PetscMalloc1(bsize, &user->bottom)); PetscCall(PetscMalloc1(tsize, &user->top)); PetscCall(PetscMalloc1(lsize, &user->left)); PetscCall(PetscMalloc1(rsize, &user->right)); hx = (r - l) / (mx + 1); hy = (t - b) / (my + 1); for (j = 0; j < 4; j++) { if (j == 0) { yt = b; xt = l + hx * xs; limit = bsize; boundary = user->bottom; } else if (j == 1) { yt = t; xt = l + hx * xs; limit = tsize; boundary = user->top; } else if (j == 2) { yt = b + hy * ys; xt = l; limit = lsize; boundary = user->left; } else { /* if (j==3) */ yt = b + hy * ys; xt = r; limit = rsize; boundary = user->right; } for (i = 0; i < limit; i++) { u1 = xt; u2 = -yt; for (k = 0; k < maxits; k++) { nf1 = u1 + u1 * u2 * u2 - u1 * u1 * u1 / three - xt; nf2 = -u2 - u1 * u1 * u2 + u2 * u2 * u2 / three - yt; fnorm = PetscSqrtReal(nf1 * nf1 + nf2 * nf2); if (fnorm <= tol) break; njac11 = one + u2 * u2 - u1 * u1; njac12 = two * u1 * u2; njac21 = -two * u1 * u2; njac22 = -one - u1 * u1 + u2 * u2; det = njac11 * njac22 - njac21 * njac12; u1 = u1 - (njac22 * nf1 - njac12 * nf2) / det; u2 = u2 - (njac11 * nf2 - njac21 * nf1) / det; } boundary[i] = u1 * u1 - u2 * u2; if (j == 0 || j == 1) { xt = xt + hx; } else { /* if (j==2 || j==3) */ yt = yt + hy; } } } /* Scale the boundary if desired */ if (1 == 1) { PetscReal scl = 1.0; PetscCall(PetscOptionsGetReal(NULL, NULL, "-bottom", &scl, &flg)); if (flg) { for (i = 0; i < bsize; i++) user->bottom[i] *= scl; } PetscCall(PetscOptionsGetReal(NULL, NULL, "-top", &scl, &flg)); if (flg) { for (i = 0; i < tsize; i++) user->top[i] *= scl; } PetscCall(PetscOptionsGetReal(NULL, NULL, "-right", &scl, &flg)); if (flg) { for (i = 0; i < rsize; i++) user->right[i] *= scl; } PetscCall(PetscOptionsGetReal(NULL, NULL, "-left", &scl, &flg)); if (flg) { for (i = 0; i < lsize; i++) user->left[i] *= scl; } } PetscFunctionReturn(PETSC_SUCCESS); } /* ------------------------------------------------------------------- */ /* MSA_InitialPoint - Calculates the initial guess in one of three ways. Input Parameters: . user - user-defined application context . X - vector for initial guess Output Parameters: . X - newly computed initial guess */ static PetscErrorCode MSA_InitialPoint(AppCtx *user, Vec X) { PetscInt start2 = -1, i, j; PetscReal start1 = 0; PetscBool flg1, flg2; PetscFunctionBegin; PetscCall(PetscOptionsGetReal(NULL, NULL, "-start", &start1, &flg1)); PetscCall(PetscOptionsGetInt(NULL, NULL, "-random", &start2, &flg2)); if (flg1) { /* The zero vector is reasonable */ PetscCall(VecSet(X, start1)); } else if (flg2 && start2 > 0) { /* Try a random start between -0.5 and 0.5 */ PetscRandom rctx; PetscReal np5 = -0.5; PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rctx)); PetscCall(VecSetRandom(X, rctx)); PetscCall(PetscRandomDestroy(&rctx)); PetscCall(VecShift(X, np5)); } else { /* Take an average of the boundary conditions */ PetscInt xs, xm, ys, ym; PetscInt mx = user->mx, my = user->my; PetscReal **x; /* Get local mesh boundaries */ PetscCall(DMDAGetCorners(user->dm, &xs, &ys, NULL, &xm, &ym, NULL)); /* Get pointers to vector data */ PetscCall(DMDAVecGetArray(user->dm, X, (void **)&x)); /* Perform local computations */ for (j = ys; j < ys + ym; j++) { for (i = xs; i < xs + xm; i++) x[j][i] = (((j + 1) * user->bottom[i - xs + 1] + (my - j + 1) * user->top[i - xs + 1]) / (my + 2) + ((i + 1) * user->left[j - ys + 1] + (mx - i + 1) * user->right[j - ys + 1]) / (mx + 2)) / 2.0; } PetscCall(DMDAVecRestoreArray(user->dm, X, (void **)&x)); PetscCall(PetscLogFlops(9.0 * xm * ym)); } PetscFunctionReturn(PETSC_SUCCESS); } /*-----------------------------------------------------------------------*/ PetscErrorCode My_Monitor(Tao tao, PetscCtx ctx) { Vec X; PetscFunctionBegin; PetscCall(TaoGetSolution(tao, &X)); PetscCall(VecView(X, PETSC_VIEWER_STDOUT_WORLD)); PetscFunctionReturn(PETSC_SUCCESS); } /*TEST build: requires: !complex test: args: -tao_monitor_short -tao_type lmvm -da_grid_x 10 -da_grid_y 8 -tao_gatol 1.e-3 requires: !single test: suffix: 2 nsize: 2 args: -tao_monitor_short -tao_type nls -tao_nls_ksp_max_it 15 -tao_gatol 1.e-4 filter: grep -v "nls ksp" requires: !single test: suffix: 2_snes nsize: 2 args: -tao_monitor_short -tao_type snes -ksp_converged_maxits -ksp_max_it 15 -snes_atol 1.e-4 filter: grep -v "nls ksp" requires: !single test: suffix: 3 nsize: 3 args: -tao_monitor_short -tao_type cg -tao_cg_type fr -da_grid_x 10 -da_grid_y 10 -tao_gatol 1.e-3 requires: !single test: suffix: 3_snes nsize: 3 args: -tao_monitor_short -tao_type snes -snes_type ncg -snes_ncg_type fr -da_grid_x 10 -da_grid_y 10 -snes_atol 1.e-4 requires: !single test: suffix: 4_snes_ngmres args: -tao_type snes -snes_type ngmres -npc_snes_type ncg -da_grid_x 10 -da_grid_y 10 -snes_atol 1.e-4 -npc_snes_ncg_type fr -snes_converged_reason -snes_monitor ::ascii_info_detail -snes_ngmres_monitor -snes_ngmres_select_type {{linesearch difference}separate output} requires: !single test: suffix: 5 nsize: 2 args: -tao_monitor_short -tao_type bmrm -da_grid_x 10 -da_grid_y 8 -tao_gatol 1.e-3 requires: !single TEST*/