LCOV - code coverage report
Current view: top level - src/mesquite/TargetMetric - TMetric.cpp (source / functions) Hit Total Coverage
Test: coverage_sk.info Lines: 27 101 26.7 %
Date: 2020-07-18 00:09:26 Functions: 6 19 31.6 %
Branches: 28 404 6.9 %

           Branch data     Line data    Source code
       1                 :            : /* *****************************************************************
       2                 :            :     MESQUITE -- The Mesh Quality Improvement Toolkit
       3                 :            : 
       4                 :            :     Copyright 2010 Sandia National Laboratories.  Developed at the
       5                 :            :     University of Wisconsin--Madison under SNL contract number
       6                 :            :     624796.  The U.S. Government and the University of Wisconsin
       7                 :            :     retain certain rights to this software.
       8                 :            : 
       9                 :            :     This library is free software; you can redistribute it and/or
      10                 :            :     modify it under the terms of the GNU Lesser General Public
      11                 :            :     License as published by the Free Software Foundation; either
      12                 :            :     version 2.1 of the License, or (at your option) any later version.
      13                 :            : 
      14                 :            :     This library is distributed in the hope that it will be useful,
      15                 :            :     but WITHOUT ANY WARRANTY; without even the implied warranty of
      16                 :            :     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
      17                 :            :     Lesser General Public License for more details.
      18                 :            : 
      19                 :            :     You should have received a copy of the GNU Lesser General Public License
      20                 :            :     (lgpl.txt) along with this library; if not, write to the Free Software
      21                 :            :     Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
      22                 :            : 
      23                 :            :     (2010) [email protected]
      24                 :            : 
      25                 :            :   ***************************************************************** */
      26                 :            : 
      27                 :            : /** \file TMetric.cpp
      28                 :            :  *  \brief
      29                 :            :  *  \author Jason Kraftcheck
      30                 :            :  */
      31                 :            : 
      32                 :            : #include "Mesquite.hpp"
      33                 :            : #include "TMetric.hpp"
      34                 :            : #include "TMetricBarrier.hpp"
      35                 :            : #include "MsqMatrix.hpp"
      36                 :            : #include "MsqError.hpp"
      37                 :            : #include <limits>
      38                 :            : 
      39                 :            : namespace MBMesquite
      40                 :            : {
      41                 :            : 
      42                 :            : template < unsigned Dim >
      43                 :     437204 : static inline double do_finite_difference( int r, int c, TMetric* metric, MsqMatrix< Dim, Dim > A, double value,
      44                 :            :                                            MsqError& err )
      45                 :            : {
      46 [ #  # ][ +  - ]:     437204 :     const double INITIAL_STEP = std::max( 1e-6, fabs( 1e-14 * value ) );
      47 [ #  # ][ +  - ]:     437204 :     const double init         = A( r, c );
      48                 :            :     bool valid;
      49                 :            :     double diff_value;
      50 [ #  # ][ +  - ]:     437204 :     for( double step = INITIAL_STEP; step > std::numeric_limits< double >::epsilon(); step *= 0.1 )
      51                 :            :     {
      52 [ #  # ][ +  - ]:     437204 :         A( r, c ) = init + step;
      53 [ #  # ][ +  - ]:     437204 :         valid     = metric->evaluate( A, diff_value, err );
      54 [ #  # ][ #  # ]:     437204 :         MSQ_ERRZERO( err );
         [ #  # ][ #  # ]
         [ #  # ][ +  - ]
         [ -  + ][ #  # ]
         [ #  # ][ -  + ]
      55 [ #  # ][ +  - ]:     437204 :         if( valid ) return ( diff_value - value ) / step;
      56                 :            :     }
      57                 :            : 
      58                 :            :     // If we couldn't find a valid step, try stepping in the other
      59                 :            :     // direciton
      60 [ #  # ][ #  # ]:          0 :     for( double step = INITIAL_STEP; step > std::numeric_limits< double >::epsilon(); step *= 0.1 )
      61                 :            :     {
      62 [ #  # ][ #  # ]:          0 :         A( r, c ) = init - step;
      63 [ #  # ][ #  # ]:          0 :         valid     = metric->evaluate( A, diff_value, err );
      64 [ #  # ][ #  # ]:          0 :         MSQ_ERRZERO( err );
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
      65 [ #  # ][ #  # ]:          0 :         if( valid ) return ( value - diff_value ) / step;
      66                 :            :     }
      67                 :            :     // If that didn't work either, then give up.
      68 [ #  # ][ #  # ]:          0 :     MSQ_SETERR( err )
      69 [ #  # ][ #  # ]:          0 :     ( "No valid step size for finite difference of 2D target metric.", MsqError::INTERNAL_ERROR );
      70                 :     437204 :     return 0.0;
      71                 :            : }
      72                 :            : 
      73                 :            : template < unsigned Dim >
      74                 :     109318 : static inline bool do_numerical_gradient( TMetric* mu, MsqMatrix< Dim, Dim > A, double& result,
      75                 :            :                                           MsqMatrix< Dim, Dim >& wrt_A, MsqError& err )
      76                 :            : {
      77                 :            :     bool valid;
      78                 :     109318 :     valid = mu->evaluate( A, result, err );
      79 [ #  # ][ #  # ]:     109318 :     MSQ_ERRZERO( err );
         [ #  # ][ +  + ]
         [ +  - ][ +  + ]
      80 [ #  # ][ #  # ]:     109301 :     if( MSQ_CHKERR( err ) || !valid ) return valid;
         [ #  # ][ #  # ]
         [ -  + ][ #  # ]
         [ -  + ][ -  + ]
      81                 :            : 
      82                 :            :     switch( Dim )
      83                 :            :     {
      84                 :            :         case 3:
      85                 :          0 :             wrt_A( 0, 2 ) = do_finite_difference( 0, 2, mu, A, result, err );
      86 [ #  # ][ #  # ]:          0 :             MSQ_ERRZERO( err );
                 [ #  # ]
      87                 :          0 :             wrt_A( 1, 2 ) = do_finite_difference( 1, 2, mu, A, result, err );
      88 [ #  # ][ #  # ]:          0 :             MSQ_ERRZERO( err );
                 [ #  # ]
      89                 :          0 :             wrt_A( 2, 0 ) = do_finite_difference( 2, 0, mu, A, result, err );
      90 [ #  # ][ #  # ]:          0 :             MSQ_ERRZERO( err );
                 [ #  # ]
      91                 :          0 :             wrt_A( 2, 1 ) = do_finite_difference( 2, 1, mu, A, result, err );
      92 [ #  # ][ #  # ]:          0 :             MSQ_ERRZERO( err );
                 [ #  # ]
      93                 :          0 :             wrt_A( 2, 2 ) = do_finite_difference( 2, 2, mu, A, result, err );
      94 [ #  # ][ #  # ]:          0 :             MSQ_ERRZERO( err );
                 [ #  # ]
      95                 :            :         case 2:
      96                 :     109301 :             wrt_A( 0, 1 ) = do_finite_difference( 0, 1, mu, A, result, err );
      97 [ #  # ][ #  # ]:     109301 :             MSQ_ERRZERO( err );
         [ #  # ][ -  + ]
         [ #  # ][ -  + ]
      98                 :     109301 :             wrt_A( 1, 0 ) = do_finite_difference( 1, 0, mu, A, result, err );
      99 [ #  # ][ #  # ]:     109301 :             MSQ_ERRZERO( err );
         [ #  # ][ -  + ]
         [ #  # ][ -  + ]
     100                 :     109301 :             wrt_A( 1, 1 ) = do_finite_difference( 1, 1, mu, A, result, err );
     101 [ #  # ][ #  # ]:     109301 :             MSQ_ERRZERO( err );
         [ #  # ][ -  + ]
         [ #  # ][ -  + ]
     102                 :            :         case 1:
     103                 :     109301 :             wrt_A( 0, 0 ) = do_finite_difference( 0, 0, mu, A, result, err );
     104 [ #  # ][ #  # ]:     109301 :             MSQ_ERRZERO( err );
         [ #  # ][ -  + ]
         [ #  # ][ -  + ]
     105                 :     109301 :             break;
     106                 :            :         default:
     107                 :            :             assert( false );
     108                 :            :     }
     109                 :     109301 :     return true;
     110                 :            : }
     111                 :            : 
     112                 :            : template < unsigned Dim >
     113                 :          0 : static inline bool do_numerical_hessian( TMetric* metric, MsqMatrix< Dim, Dim > A, double& value,
     114                 :            :                                          MsqMatrix< Dim, Dim >& grad, MsqMatrix< Dim, Dim >* Hess, MsqError& err )
     115                 :            : {
     116                 :            :     // zero hessian data
     117                 :          0 :     const int num_block = Dim * ( Dim + 1 ) / 2;
     118 [ #  # ][ #  # ]:          0 :     for( int i = 0; i < num_block; ++i )
     119 [ #  # ][ #  # ]:          0 :         Hess[i].zero();
     120                 :            : 
     121                 :            :     // evaluate gradient for input values
     122                 :            :     bool valid;
     123 [ #  # ][ #  # ]:          0 :     valid = metric->evaluate_with_grad( A, value, grad, err );
     124 [ #  # ][ #  # ]:          0 :     if( MSQ_CHKERR( err ) || !valid ) return false;
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
     125                 :            : 
     126                 :            :     // do finite difference for each term of A
     127 [ #  # ][ #  # ]:          0 :     const double INITAL_STEP = std::max( 1e-6, fabs( 1e-14 * value ) );
     128                 :            :     double value2;
     129 [ #  # ][ #  # ]:          0 :     MsqMatrix< Dim, Dim > grad2;
     130 [ #  # ][ #  # ]:          0 :     for( unsigned r = 0; r < Dim; ++r )
     131                 :            :     {  // for each row of A
     132 [ #  # ][ #  # ]:          0 :         for( unsigned c = 0; c < Dim; ++c )
     133                 :            :         {  // for each column of A
     134 [ #  # ][ #  # ]:          0 :             const double in_val = A( r, c );
     135                 :            :             double step;
     136 [ #  # ][ #  # ]:          0 :             for( step = INITAL_STEP; step > std::numeric_limits< double >::epsilon(); step *= 0.1 )
     137                 :            :             {
     138 [ #  # ][ #  # ]:          0 :                 A( r, c ) = in_val + step;
     139 [ #  # ][ #  # ]:          0 :                 valid     = metric->evaluate_with_grad( A, value2, grad2, err );
     140 [ #  # ][ #  # ]:          0 :                 MSQ_ERRZERO( err );
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
     141 [ #  # ][ #  # ]:          0 :                 if( valid ) break;
     142                 :            :             }
     143                 :            : 
     144                 :            :             // if no valid step size, try step in other direction
     145 [ #  # ][ #  # ]:          0 :             if( !valid )
     146                 :            :             {
     147 [ #  # ][ #  # ]:          0 :                 for( step = -INITAL_STEP; step < -std::numeric_limits< double >::epsilon(); step *= 0.1 )
     148                 :            :                 {
     149 [ #  # ][ #  # ]:          0 :                     A( r, c ) = in_val + step;
     150 [ #  # ][ #  # ]:          0 :                     valid     = metric->evaluate_with_grad( A, value2, grad2, err );
     151 [ #  # ][ #  # ]:          0 :                     MSQ_ERRZERO( err );
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
     152 [ #  # ][ #  # ]:          0 :                     if( valid ) break;
     153                 :            :                 }
     154                 :            : 
     155                 :            :                 // if still no valid step size, give up.
     156 [ #  # ][ #  # ]:          0 :                 if( !valid )
     157                 :            :                 {
     158 [ #  # ][ #  # ]:          0 :                     MSQ_SETERR( err )
     159 [ #  # ][ #  # ]:          0 :                     ( "No valid step size for finite difference of 2D target metric.", MsqError::INTERNAL_ERROR );
     160                 :          0 :                     return false;
     161                 :            :                 }
     162                 :            :             }
     163                 :            : 
     164                 :            :             // restore A.
     165 [ #  # ][ #  # ]:          0 :             A( r, c ) = in_val;
     166                 :            : 
     167                 :            :             // add values into result matrix
     168                 :            :             // values of grad2, in row-major order, are a single 9-value row of the Hessian
     169 [ #  # ][ #  # ]:          0 :             grad2 -= grad;
     170 [ #  # ][ #  # ]:          0 :             grad2 /= step;
     171 [ #  # ][ #  # ]:          0 :             for( unsigned b = 0; b < r; ++b )
     172                 :            :             {
     173                 :          0 :                 const int idx = Dim * b - b * ( b + 1 ) / 2 + r;
     174 [ #  # ][ #  # ]:          0 :                 Hess[idx].add_column( c, transpose( grad2.row( b ) ) );
         [ #  # ][ #  # ]
         [ #  # ][ #  # ]
     175                 :            :             }
     176 [ #  # ][ #  # ]:          0 :             for( unsigned b = r; b < Dim; ++b )
     177                 :            :             {
     178                 :          0 :                 const int idx = Dim * r - r * ( r + 1 ) / 2 + b;
     179 [ #  # ][ #  # ]:          0 :                 Hess[idx].add_row( c, grad2.row( b ) );
         [ #  # ][ #  # ]
     180                 :            :             }
     181                 :            :         }  // for (c)
     182                 :            :     }      // for (r)
     183                 :            : 
     184                 :            :     // Values in non-diagonal blocks were added twice.
     185 [ #  # ][ #  # ]:          0 :     for( unsigned r = 0, h = 1; r < Dim - 1; ++r, ++h )
     186 [ #  # ][ #  # ]:          0 :         for( unsigned c = r + 1; c < Dim; ++c, ++h )
     187 [ #  # ][ #  # ]:          0 :             Hess[h] *= 0.5;
     188                 :            : 
     189                 :          0 :     return true;
     190                 :            : }
     191                 :            : 
     192         [ -  + ]:        300 : TMetric::~TMetric() {}
     193                 :            : 
     194                 :          0 : bool TMetric::evaluate( const MsqMatrix< 2, 2 >& /*T*/, double& /*result*/, MsqError& /*err*/ )
     195                 :            : {
     196                 :          0 :     return false;
     197                 :            : }
     198                 :            : 
     199                 :          0 : bool TMetric::evaluate( const MsqMatrix< 3, 3 >& /*T*/, double& /*result*/, MsqError& /*err*/ )
     200                 :            : {
     201                 :          0 :     return false;
     202                 :            : }
     203                 :            : 
     204                 :     109318 : bool TMetric::evaluate_with_grad( const MsqMatrix< 2, 2 >& T, double& result, MsqMatrix< 2, 2 >& wrt_T, MsqError& err )
     205                 :            : {
     206                 :     109318 :     return do_numerical_gradient( this, T, result, wrt_T, err );
     207                 :            : }
     208                 :            : 
     209                 :          0 : bool TMetric::evaluate_with_grad( const MsqMatrix< 3, 3 >& T, double& result, MsqMatrix< 3, 3 >& wrt_T, MsqError& err )
     210                 :            : {
     211                 :          0 :     return do_numerical_gradient( this, T, result, wrt_T, err );
     212                 :            : }
     213                 :            : 
     214                 :          0 : bool TMetric::evaluate_with_hess( const MsqMatrix< 2, 2 >& T, double& result, MsqMatrix< 2, 2 >& deriv_wrt_T,
     215                 :            :                                   MsqMatrix< 2, 2 > hess_wrt_T[3], MsqError& err )
     216                 :            : {
     217                 :          0 :     return do_numerical_hessian( this, T, result, deriv_wrt_T, hess_wrt_T, err );
     218                 :            : }
     219                 :            : 
     220                 :          0 : bool TMetric::evaluate_with_hess( const MsqMatrix< 3, 3 >& T, double& result, MsqMatrix< 3, 3 >& deriv_wrt_T,
     221                 :            :                                   MsqMatrix< 3, 3 > hess_wrt_T[6], MsqError& err )
     222                 :            : {
     223                 :          0 :     return do_numerical_hessian( this, T, result, deriv_wrt_T, hess_wrt_T, err );
     224                 :            : }
     225                 :            : 
     226         [ #  # ]:          0 : TMetric2D::~TMetric2D() {}
     227         [ #  # ]:          0 : TMetric3D::~TMetric3D() {}
     228                 :            : 
     229                 :          0 : bool TMetric2D::evaluate( const MsqMatrix< 3, 3 >&, double&, MsqError& err )
     230                 :            : {
     231                 :            :     MSQ_SETERR( err )
     232         [ #  # ]:          0 :     ( "2D target metric cannot be evaluated for volume elements", MsqError::UNSUPPORTED_ELEMENT );
     233                 :          0 :     return false;
     234                 :            : }
     235                 :            : 
     236                 :          0 : bool TMetric3D::evaluate( const MsqMatrix< 2, 2 >&, double&, MsqError& err )
     237                 :            : {
     238                 :            :     MSQ_SETERR( err )
     239         [ #  # ]:          0 :     ( "2D target metric cannot be evaluated for volume elements", MsqError::UNSUPPORTED_ELEMENT );
     240                 :          0 :     return false;
     241                 :            : }
     242                 :            : 
     243 [ +  - ][ +  - ]:        120 : }  // namespace MBMesquite

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