unconstrained/tutorials/eptorsion3.c

/* Program usage: mpiexec -n 1 eptorsion1 [-help] [all TAO options] */

/* ----------------------------------------------------------------------

  Elastic-plastic torsion problem.

  The elastic plastic torsion problem arises from the determination
  of the stress field on an infinitely long cylindrical bar, which is
  equivalent to the solution of the following problem:

  min{ .5 * integral(||gradient(v(x))||^2 dx) - C * integral(v(x) dx)}

  where C is the torsion angle per unit length.

  The multiprocessor version of this code is eptorsion2.c.

---------------------------------------------------------------------- */

/*
  Include "petsctao.h" so that we can use TAO solvers.  Note that this
  file automatically includes files for lower-level support, such as those
  provided by the PETSc library:
     petsc.h       - base PETSc routines   petscvec.h - vectors
     petscsys.h    - system routines        petscmat.h - matrices
     petscis.h     - index sets            petscksp.h - Krylov subspace methods
     petscviewer.h - viewers               petscpc.h  - preconditioners
*/

#include <petsctao.h>

static char help[] = "Demonstrates use of the TAO package to solve \n\
unconstrained minimization problems on a single processor.  This example \n\
is based on the Elastic-Plastic Torsion (dept) problem from the MINPACK-2 \n\
test suite.\n\
The command line options are:\n\
  -mx <xg>, where <xg> = number of grid points in the 1st coordinate direction\n\
  -my <yg>, where <yg> = number of grid points in the 2nd coordinate direction\n\
  -par <param>, where <param> = angle of twist per unit length\n\n";

/*
   User-defined application context - contains data needed by the
   application-provided call-back routines, FormFunction(),
   FormGradient(), and FormHessian().
*/

typedef struct {
  PetscReal param;      /* nonlinearity parameter */
  PetscInt  mx, my;     /* discretization in x- and y-directions */
  PetscInt  ndim;       /* problem dimension */
  Vec       s, y, xvec; /* work space for computing Hessian */
  PetscReal hx, hy;     /* mesh spacing in x- and y-directions */
} AppCtx;

/* -------- User-defined Routines --------- */

PetscErrorCode FormInitialGuess(AppCtx *, Vec);
PetscErrorCode FormFunction(Tao, Vec, PetscReal *, void *);
PetscErrorCode FormGradient(Tao, Vec, Vec, void *);
PetscErrorCode FormHessian(Tao, Vec, Mat, Mat, void *);
PetscErrorCode HessianProductMat(Mat, Vec, Vec);
PetscErrorCode HessianProduct(void *, Vec, Vec);
PetscErrorCode MatrixFreeHessian(Tao, Vec, Mat, Mat, void *);
PetscErrorCode FormFunctionGradient(Tao, Vec, PetscReal *, Vec, void *);

int main(int argc, char **argv)
{
  PetscInt    mx = 10; /* discretization in x-direction */
  PetscInt    my = 10; /* discretization in y-direction */
  Vec         x;       /* solution, gradient vectors */
  PetscBool   flg;     /* A return value when checking for use options */
  Tao         tao;     /* Tao solver context */
  Mat         H;       /* Hessian matrix */
  AppCtx      user;    /* application context */
  PetscMPIInt size;    /* number of processes */
  PetscReal   one = 1.0;

  PetscBool test_lmvm = PETSC_FALSE;
  KSP       ksp;
  PC        pc;
  Mat       M;
  Vec       in, out, out2;
  PetscReal mult_solve_dist;
  Vec       ub, lb;
  PetscInt  i = 3;

  /* Initialize TAO,PETSc */
  PetscFunctionBeginUser;
  PetscCall(PetscInitialize(&argc, &argv, NULL, help));
  PetscCallMPI(MPI_Comm_size(MPI_COMM_WORLD, &size));
  PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "Incorrect number of processors");

  /* Specify default parameters for the problem, check for command-line overrides */
  user.param = 5.0;
  PetscCall(PetscOptionsGetInt(NULL, NULL, "-my", &my, &flg));
  PetscCall(PetscOptionsGetInt(NULL, NULL, "-mx", &mx, &flg));
  PetscCall(PetscOptionsGetReal(NULL, NULL, "-par", &user.param, &flg));
  PetscCall(PetscOptionsGetBool(NULL, NULL, "-test_lmvm", &test_lmvm, &flg));

  PetscCall(PetscPrintf(PETSC_COMM_SELF, "\n---- Elastic-Plastic Torsion Problem -----\n"));
  PetscCall(PetscPrintf(PETSC_COMM_SELF, "mx: %" PetscInt_FMT "     my: %" PetscInt_FMT "   \n\n", mx, my));
  user.ndim = mx * my;
  user.mx   = mx;
  user.my   = my;
  user.hx   = one / (mx + 1);
  user.hy   = one / (my + 1);

  /* Allocate vectors */
  PetscCall(VecCreateSeq(PETSC_COMM_SELF, user.ndim, &user.y));
  PetscCall(VecDuplicate(user.y, &user.s));
  PetscCall(VecDuplicate(user.y, &x));
  PetscCall(VecDuplicate(user.y, &lb));
  PetscCall(VecDuplicate(user.y, &ub));

  PetscCall(VecSet(ub, 0.1));
  PetscCall(VecSet(lb, -0.1));
  PetscCall(VecSetValue(ub, i, 0., INSERT_VALUES));
  PetscCall(VecSetValue(lb, i, 0., INSERT_VALUES));
  PetscCall(VecAssemblyBegin(ub));
  PetscCall(VecAssemblyBegin(lb));
  PetscCall(VecAssemblyEnd(ub));
  PetscCall(VecAssemblyEnd(lb));

  /* Create TAO solver and set desired solution method */
  PetscCall(TaoCreate(PETSC_COMM_SELF, &tao));
  PetscCall(TaoSetType(tao, TAOLMVM));

  /* Set solution vector with an initial guess */
  PetscCall(FormInitialGuess(&user, x));
  PetscCall(TaoSetSolution(tao, x));
  PetscCall(TaoSetVariableBounds(tao, lb, ub));

  /* Set routine for function and gradient evaluation */
  PetscCall(TaoSetObjectiveAndGradient(tao, NULL, FormFunctionGradient, (void *)&user));

  /* From command line options, determine if using matrix-free hessian */
  PetscCall(PetscOptionsHasName(NULL, NULL, "-my_tao_mf", &flg));
  if (flg) {
    PetscCall(MatCreateShell(PETSC_COMM_SELF, user.ndim, user.ndim, user.ndim, user.ndim, (void *)&user, &H));
    PetscCall(MatShellSetOperation(H, MATOP_MULT, (PetscErrorCodeFn *)HessianProductMat));
    PetscCall(MatSetOption(H, MAT_SYMMETRIC, PETSC_TRUE));

    PetscCall(TaoSetHessian(tao, H, H, MatrixFreeHessian, (void *)&user));
  } else {
    PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, user.ndim, user.ndim, 5, NULL, &H));
    PetscCall(MatSetOption(H, MAT_SYMMETRIC, PETSC_TRUE));
    PetscCall(TaoSetHessian(tao, H, H, FormHessian, (void *)&user));
  }

  /* Test the LMVM matrix */
  if (test_lmvm) {
    PetscCall(PetscOptionsSetValue(NULL, "-tao_type", "bntr"));
    PetscCall(PetscOptionsSetValue(NULL, "-tao_bnk_pc_type", "lmvm"));
  }

  /* Check for any TAO command line options */
  PetscCall(TaoSetFromOptions(tao));

  /* SOLVE THE APPLICATION */
  PetscCall(TaoSolve(tao));

  /* Test the LMVM matrix */
  if (test_lmvm) {
    PetscCall(TaoGetKSP(tao, &ksp));
    PetscCall(KSPGetPC(ksp, &pc));
    PetscCall(PCLMVMGetMatLMVM(pc, &M));
    PetscCall(VecDuplicate(x, &in));
    PetscCall(VecDuplicate(x, &out));
    PetscCall(VecDuplicate(x, &out2));
    PetscCall(VecSet(in, 5.0));
    PetscCall(MatMult(M, in, out));
    PetscCall(MatSolve(M, out, out2));
    PetscCall(VecAXPY(out2, -1.0, in));
    PetscCall(VecNorm(out2, NORM_2, &mult_solve_dist));
    PetscCall(PetscPrintf(PetscObjectComm((PetscObject)tao), "error between MatMult and MatSolve: %e\n", (double)mult_solve_dist));
    PetscCall(VecDestroy(&in));
    PetscCall(VecDestroy(&out));
    PetscCall(VecDestroy(&out2));
  }

  PetscCall(TaoDestroy(&tao));
  PetscCall(VecDestroy(&user.s));
  PetscCall(VecDestroy(&user.y));
  PetscCall(VecDestroy(&x));
  PetscCall(MatDestroy(&H));
  PetscCall(VecDestroy(&lb));
  PetscCall(VecDestroy(&ub));

  PetscCall(PetscFinalize());
  return 0;
}

/* ------------------------------------------------------------------- */
/*
    FormInitialGuess - Computes an initial approximation to the solution.

    Input Parameters:
.   user - user-defined application context
.   X    - vector

    Output Parameters:
.   X    - vector
*/
PetscErrorCode FormInitialGuess(AppCtx *user, Vec X)
{
  PetscReal hx = user->hx, hy = user->hy, temp;
  PetscReal val;
  PetscInt  i, j, k, nx = user->mx, ny = user->my;

  /* Compute initial guess */
  PetscFunctionBeginUser;
  for (j = 0; j < ny; j++) {
    temp = PetscMin(j + 1, ny - j) * hy;
    for (i = 0; i < nx; i++) {
      k   = nx * j + i;
      val = PetscMin((PetscMin(i + 1, nx - i)) * hx, temp);
      PetscCall(VecSetValues(X, 1, &k, &val, ADD_VALUES));
    }
  }
  PetscCall(VecAssemblyBegin(X));
  PetscCall(VecAssemblyEnd(X));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
   FormFunctionGradient - Evaluates the function and corresponding gradient.

   Input Parameters:
   tao - the Tao context
   X   - the input vector
   ptr - optional user-defined context, as set by TaoSetFunction()

   Output Parameters:
   f   - the newly evaluated function
   G   - the newly evaluated gradient
*/
PetscErrorCode FormFunctionGradient(Tao tao, Vec X, PetscReal *f, Vec G, void *ptr)
{
  PetscFunctionBeginUser;
  PetscCall(FormFunction(tao, X, f, ptr));
  PetscCall(FormGradient(tao, X, G, ptr));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
   FormFunction - Evaluates the function, f(X).

   Input Parameters:
.  tao - the Tao context
.  X   - the input vector
.  ptr - optional user-defined context, as set by TaoSetFunction()

   Output Parameters:
.  f    - the newly evaluated function
*/
PetscErrorCode FormFunction(Tao tao, Vec X, PetscReal *f, void *ptr)
{
  AppCtx            *user = (AppCtx *)ptr;
  PetscReal          hx = user->hx, hy = user->hy, area, three = 3.0, p5 = 0.5;
  PetscReal          zero = 0.0, vb, vl, vr, vt, dvdx, dvdy, flin = 0.0, fquad = 0.0;
  PetscReal          v, cdiv3 = user->param / three;
  const PetscScalar *x;
  PetscInt           nx = user->mx, ny = user->my, i, j, k;

  PetscFunctionBeginUser;
  /* Get pointer to vector data */
  PetscCall(VecGetArrayRead(X, &x));

  /* Compute function contributions over the lower triangular elements */
  for (j = -1; j < ny; j++) {
    for (i = -1; i < nx; i++) {
      k  = nx * j + i;
      v  = zero;
      vr = zero;
      vt = zero;
      if (i >= 0 && j >= 0) v = x[k];
      if (i < nx - 1 && j > -1) vr = x[k + 1];
      if (i > -1 && j < ny - 1) vt = x[k + nx];
      dvdx = (vr - v) / hx;
      dvdy = (vt - v) / hy;
      fquad += dvdx * dvdx + dvdy * dvdy;
      flin -= cdiv3 * (v + vr + vt);
    }
  }

  /* Compute function contributions over the upper triangular elements */
  for (j = 0; j <= ny; j++) {
    for (i = 0; i <= nx; i++) {
      k  = nx * j + i;
      vb = zero;
      vl = zero;
      v  = zero;
      if (i < nx && j > 0) vb = x[k - nx];
      if (i > 0 && j < ny) vl = x[k - 1];
      if (i < nx && j < ny) v = x[k];
      dvdx  = (v - vl) / hx;
      dvdy  = (v - vb) / hy;
      fquad = fquad + dvdx * dvdx + dvdy * dvdy;
      flin  = flin - cdiv3 * (vb + vl + v);
    }
  }

  /* Restore vector */
  PetscCall(VecRestoreArrayRead(X, &x));

  /* Scale the function */
  area = p5 * hx * hy;
  *f   = area * (p5 * fquad + flin);

  PetscCall(PetscLogFlops(24.0 * nx * ny));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
    FormGradient - Evaluates the gradient, G(X).

    Input Parameters:
.   tao  - the Tao context
.   X    - input vector
.   ptr  - optional user-defined context

    Output Parameters:
.   G - vector containing the newly evaluated gradient
*/
PetscErrorCode FormGradient(Tao tao, Vec X, Vec G, void *ptr)
{
  AppCtx            *user = (AppCtx *)ptr;
  PetscReal          zero = 0.0, p5 = 0.5, three = 3.0, area, val;
  PetscInt           nx = user->mx, ny = user->my, ind, i, j, k;
  PetscReal          hx = user->hx, hy = user->hy;
  PetscReal          vb, vl, vr, vt, dvdx, dvdy;
  PetscReal          v, cdiv3 = user->param / three;
  const PetscScalar *x;

  PetscFunctionBeginUser;
  /* Initialize gradient to zero */
  PetscCall(VecSet(G, zero));

  /* Get pointer to vector data */
  PetscCall(VecGetArrayRead(X, &x));

  /* Compute gradient contributions over the lower triangular elements */
  for (j = -1; j < ny; j++) {
    for (i = -1; i < nx; i++) {
      k  = nx * j + i;
      v  = zero;
      vr = zero;
      vt = zero;
      if (i >= 0 && j >= 0) v = x[k];
      if (i < nx - 1 && j > -1) vr = x[k + 1];
      if (i > -1 && j < ny - 1) vt = x[k + nx];
      dvdx = (vr - v) / hx;
      dvdy = (vt - v) / hy;
      if (i != -1 && j != -1) {
        ind = k;
        val = -dvdx / hx - dvdy / hy - cdiv3;
        PetscCall(VecSetValues(G, 1, &ind, &val, ADD_VALUES));
      }
      if (i != nx - 1 && j != -1) {
        ind = k + 1;
        val = dvdx / hx - cdiv3;
        PetscCall(VecSetValues(G, 1, &ind, &val, ADD_VALUES));
      }
      if (i != -1 && j != ny - 1) {
        ind = k + nx;
        val = dvdy / hy - cdiv3;
        PetscCall(VecSetValues(G, 1, &ind, &val, ADD_VALUES));
      }
    }
  }

  /* Compute gradient contributions over the upper triangular elements */
  for (j = 0; j <= ny; j++) {
    for (i = 0; i <= nx; i++) {
      k  = nx * j + i;
      vb = zero;
      vl = zero;
      v  = zero;
      if (i < nx && j > 0) vb = x[k - nx];
      if (i > 0 && j < ny) vl = x[k - 1];
      if (i < nx && j < ny) v = x[k];
      dvdx = (v - vl) / hx;
      dvdy = (v - vb) / hy;
      if (i != nx && j != 0) {
        ind = k - nx;
        val = -dvdy / hy - cdiv3;
        PetscCall(VecSetValues(G, 1, &ind, &val, ADD_VALUES));
      }
      if (i != 0 && j != ny) {
        ind = k - 1;
        val = -dvdx / hx - cdiv3;
        PetscCall(VecSetValues(G, 1, &ind, &val, ADD_VALUES));
      }
      if (i != nx && j != ny) {
        ind = k;
        val = dvdx / hx + dvdy / hy - cdiv3;
        PetscCall(VecSetValues(G, 1, &ind, &val, ADD_VALUES));
      }
    }
  }
  PetscCall(VecRestoreArrayRead(X, &x));

  /* Assemble gradient vector */
  PetscCall(VecAssemblyBegin(G));
  PetscCall(VecAssemblyEnd(G));

  /* Scale the gradient */
  area = p5 * hx * hy;
  PetscCall(VecScale(G, area));
  PetscCall(PetscLogFlops(24.0 * nx * ny));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
   FormHessian - Forms the Hessian matrix.

   Input Parameters:
.  tao - the Tao context
.  X    - the input vector
.  ptr  - optional user-defined context, as set by TaoSetHessian()

   Output Parameters:
.  H     - Hessian matrix
.  PrecH - optionally different preconditioning Hessian

   Notes:
   This routine is intended simply as an example of the interface
   to a Hessian evaluation routine.  Since this example compute the
   Hessian a column at a time, it is not particularly efficient and
   is not recommended.
*/
PetscErrorCode FormHessian(Tao tao, Vec X, Mat H, Mat Hpre, void *ptr)
{
  AppCtx    *user = (AppCtx *)ptr;
  PetscInt   i, j, ndim = user->ndim;
  PetscReal *y, zero = 0.0, one = 1.0;
  PetscBool  assembled;

  PetscFunctionBeginUser;
  user->xvec = X;

  /* Initialize Hessian entries and work vector to zero */
  PetscCall(MatAssembled(H, &assembled));
  if (assembled) PetscCall(MatZeroEntries(H));

  PetscCall(VecSet(user->s, zero));

  /* Loop over matrix columns to compute entries of the Hessian */
  for (j = 0; j < ndim; j++) {
    PetscCall(VecSetValues(user->s, 1, &j, &one, INSERT_VALUES));
    PetscCall(VecAssemblyBegin(user->s));
    PetscCall(VecAssemblyEnd(user->s));

    PetscCall(HessianProduct(ptr, user->s, user->y));

    PetscCall(VecSetValues(user->s, 1, &j, &zero, INSERT_VALUES));
    PetscCall(VecAssemblyBegin(user->s));
    PetscCall(VecAssemblyEnd(user->s));

    PetscCall(VecGetArray(user->y, &y));
    for (i = 0; i < ndim; i++) {
      if (y[i] != zero) PetscCall(MatSetValues(H, 1, &i, 1, &j, &y[i], ADD_VALUES));
    }
    PetscCall(VecRestoreArray(user->y, &y));
  }
  PetscCall(MatAssemblyBegin(H, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(H, MAT_FINAL_ASSEMBLY));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
   MatrixFreeHessian - Sets a pointer for use in computing Hessian-vector
   products.

   Input Parameters:
.  tao - the Tao context
.  X    - the input vector
.  ptr  - optional user-defined context, as set by TaoSetHessian()

   Output Parameters:
.  H     - Hessian matrix
.  PrecH - optionally different preconditioning Hessian
*/
PetscErrorCode MatrixFreeHessian(Tao tao, Vec X, Mat H, Mat PrecH, void *ptr)
{
  AppCtx *user = (AppCtx *)ptr;

  /* Sets location of vector for use in computing matrix-vector products  of the form H(X)*y  */
  PetscFunctionBeginUser;
  user->xvec = X;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
   HessianProductMat - Computes the matrix-vector product
   y = mat*svec.

   Input Parameters:
.  mat  - input matrix
.  svec - input vector

   Output Parameters:
.  y    - solution vector
*/
PetscErrorCode HessianProductMat(Mat mat, Vec svec, Vec y)
{
  void *ptr;

  PetscFunctionBeginUser;
  PetscCall(MatShellGetContext(mat, &ptr));
  PetscCall(HessianProduct(ptr, svec, y));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------------------------------------------------------------- */
/*
   Hessian Product - Computes the matrix-vector product:
   y = f''(x)*svec.

   Input Parameters:
.  ptr  - pointer to the user-defined context
.  svec - input vector

   Output Parameters:
.  y    - product vector
*/
PetscErrorCode HessianProduct(void *ptr, Vec svec, Vec y)
{
  AppCtx            *user = (AppCtx *)ptr;
  PetscReal          p5 = 0.5, zero = 0.0, one = 1.0, hx, hy, val, area;
  const PetscScalar *x, *s;
  PetscReal          v, vb, vl, vr, vt, hxhx, hyhy;
  PetscInt           nx, ny, i, j, k, ind;

  PetscFunctionBeginUser;
  nx   = user->mx;
  ny   = user->my;
  hx   = user->hx;
  hy   = user->hy;
  hxhx = one / (hx * hx);
  hyhy = one / (hy * hy);

  /* Get pointers to vector data */
  PetscCall(VecGetArrayRead(user->xvec, &x));
  PetscCall(VecGetArrayRead(svec, &s));

  /* Initialize product vector to zero */
  PetscCall(VecSet(y, zero));

  /* Compute f''(x)*s over the lower triangular elements */
  for (j = -1; j < ny; j++) {
    for (i = -1; i < nx; i++) {
      k  = nx * j + i;
      v  = zero;
      vr = zero;
      vt = zero;
      if (i != -1 && j != -1) v = s[k];
      if (i != nx - 1 && j != -1) {
        vr  = s[k + 1];
        ind = k + 1;
        val = hxhx * (vr - v);
        PetscCall(VecSetValues(y, 1, &ind, &val, ADD_VALUES));
      }
      if (i != -1 && j != ny - 1) {
        vt  = s[k + nx];
        ind = k + nx;
        val = hyhy * (vt - v);
        PetscCall(VecSetValues(y, 1, &ind, &val, ADD_VALUES));
      }
      if (i != -1 && j != -1) {
        ind = k;
        val = hxhx * (v - vr) + hyhy * (v - vt);
        PetscCall(VecSetValues(y, 1, &ind, &val, ADD_VALUES));
      }
    }
  }

  /* Compute f''(x)*s over the upper triangular elements */
  for (j = 0; j <= ny; j++) {
    for (i = 0; i <= nx; i++) {
      k  = nx * j + i;
      v  = zero;
      vl = zero;
      vb = zero;
      if (i != nx && j != ny) v = s[k];
      if (i != nx && j != 0) {
        vb  = s[k - nx];
        ind = k - nx;
        val = hyhy * (vb - v);
        PetscCall(VecSetValues(y, 1, &ind, &val, ADD_VALUES));
      }
      if (i != 0 && j != ny) {
        vl  = s[k - 1];
        ind = k - 1;
        val = hxhx * (vl - v);
        PetscCall(VecSetValues(y, 1, &ind, &val, ADD_VALUES));
      }
      if (i != nx && j != ny) {
        ind = k;
        val = hxhx * (v - vl) + hyhy * (v - vb);
        PetscCall(VecSetValues(y, 1, &ind, &val, ADD_VALUES));
      }
    }
  }
  /* Restore vector data */
  PetscCall(VecRestoreArrayRead(svec, &s));
  PetscCall(VecRestoreArrayRead(user->xvec, &x));

  /* Assemble vector */
  PetscCall(VecAssemblyBegin(y));
  PetscCall(VecAssemblyEnd(y));

  /* Scale resulting vector by area */
  area = p5 * hx * hy;
  PetscCall(VecScale(y, area));
  PetscCall(PetscLogFlops(18.0 * nx * ny));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*TEST

   build:
      requires: !complex

   test:
      args: -tao_monitor -tao_type bntr -tao_view -tao_bnk_ksp_monitor_short

TEST*/