MOAB: Mesh Oriented datABase
(version 5.4.1)
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Calculates the L_p objective function raised to the pth power. That is, sums the p_th powers of (the absolute value of) the quality metric values. More...
#include <LPtoPTemplate.hpp>
Public Member Functions | |
MESQUITE_EXPORT | LPtoPTemplate (QualityMetric *, short, MsqError &) |
MESQUITE_EXPORT | LPtoPTemplate (short, QualityMetric *) |
virtual MESQUITE_EXPORT | ~LPtoPTemplate () |
virtual MESQUITE_EXPORT void | clear () |
virtual MESQUITE_EXPORT bool | evaluate (EvalType type, PatchData &pd, double &value_out, bool free, MsqError &err) |
Evaluate objective function for specified patch. | |
virtual MESQUITE_EXPORT bool | evaluate_with_gradient (EvalType type, PatchData &pd, double &value_out, std::vector< Vector3D > &grad_out, MsqError &err) |
Evaluate objective function and gradient for specified patch. | |
virtual MESQUITE_EXPORT bool | evaluate_with_Hessian_diagonal (EvalType type, PatchData &pd, double &value_out, std::vector< Vector3D > &grad_out, std::vector< SymMatrix3D > &hess_diag_out, MsqError &err) |
Evaluate objective function and diagonal blocks of Hessian for specified patch. | |
virtual MESQUITE_EXPORT bool | evaluate_with_Hessian (EvalType type, PatchData &pd, double &value_out, std::vector< Vector3D > &grad_out, MsqHessian &Hessian_out, MsqError &err) |
Evaluate objective function and Hessian for specified patch. | |
virtual MESQUITE_EXPORT ObjectiveFunction * | clone () const |
Create copy with same state. | |
MESQUITE_EXPORT void | set_dividing_by_n (bool d_bool) |
Private Member Functions | |
double | get_value (double power_sum, size_t count, EvalType type, size_t &global_count, MsqError &err) |
Private Attributes | |
short | pVal |
The metric value entries are raised to the pVal power. | |
bool | dividingByN |
size_t | mCount |
double | mPowSum |
size_t | saveCount |
double | savePowSum |
std::vector< size_t > | qmHandles |
std::vector< size_t > | mIndices |
std::vector< Vector3D > | mGradient |
std::vector< SymMatrix3D > | mDiag |
std::vector< Matrix3D > | mHessian |
Calculates the L_p objective function raised to the pth power. That is, sums the p_th powers of (the absolute value of) the quality metric values.
Definition at line 67 of file LPtoPTemplate.hpp.
LPtoPTemplate::LPtoPTemplate | ( | QualityMetric * | qualitymetric, |
short | Pinput, | ||
MsqError & | err | ||
) |
Definition at line 47 of file LPtoPTemplate.cpp.
References clear(), dividingByN, MBMesquite::MsqError::INVALID_ARG, MSQ_SETERR, and pVal.
Referenced by clone().
: ObjectiveFunctionTemplate( qualitymetric ) { pVal = Pinput; if( pVal < 1 ) { MSQ_SETERR( err )( "P_VALUE must be greater than 0.", MsqError::INVALID_ARG ); return; } dividingByN = false; clear(); }
LPtoPTemplate::LPtoPTemplate | ( | short | P, |
QualityMetric * | qm | ||
) |
Definition at line 62 of file LPtoPTemplate.cpp.
References clear().
: ObjectiveFunctionTemplate( qm ), pVal( P ), dividingByN( false ) { clear(); }
LPtoPTemplate::~LPtoPTemplate | ( | ) | [virtual] |
Definition at line 77 of file LPtoPTemplate.cpp.
{}
void LPtoPTemplate::clear | ( | ) | [virtual] |
Clear any values accumulated for BCD-related eval calls
Implements MBMesquite::ObjectiveFunction.
Definition at line 68 of file LPtoPTemplate.cpp.
References mCount, mPowSum, saveCount, and savePowSum.
Referenced by LPtoPTemplate().
{ mCount = 0; mPowSum = 0; saveCount = 0; savePowSum = 0; }
ObjectiveFunction * LPtoPTemplate::clone | ( | ) | const [virtual] |
Create copy with same state.
Create a new instance of the objective function that is a copy of the callee with the same accumulated values, parameters, etc.
Implements MBMesquite::ObjectiveFunction.
Definition at line 79 of file LPtoPTemplate.cpp.
References LPtoPTemplate().
{ return new LPtoPTemplate( *this ); }
bool LPtoPTemplate::evaluate | ( | EvalType | type, |
PatchData & | pd, | ||
double & | value_out, | ||
bool | free, | ||
MsqError & | err | ||
) | [virtual] |
Evaluate objective function for specified patch.
Either evaluate the objective function over the passed patch or update the accumulated, global objective function value for changes in the passed patch, depending on the value of the EvalType.
type | Evaluation type. |
pd | The patch. |
value_out | The passed-back value of the objective fuction. |
free | If true, incorporate the quality metric values only for those metric evaluations that depend on at least one free vertex |
Implements MBMesquite::ObjectiveFunction.
Definition at line 139 of file LPtoPTemplate.cpp.
References MBMesquite::ObjectiveFunction::ACCUMULATE, MBMesquite::QualityMetric::evaluate(), MBMesquite::QualityMetric::get_evaluations(), MBMesquite::QualityMetric::get_negate_flag(), MBMesquite::ObjectiveFunctionTemplate::get_quality_metric(), MBMesquite::QualityMetric::get_single_pass(), get_value(), MSQ_CHKERR, MSQ_ERRFALSE, pVal, qmHandles, and value().
{ QualityMetric* qm = get_quality_metric(); if( type == ObjectiveFunction::ACCUMULATE ) qm->get_single_pass( pd, qmHandles, free, err ); else qm->get_evaluations( pd, qmHandles, free, err ); MSQ_ERRFALSE( err ); // calculate OF value for just the patch std::vector< size_t >::const_iterator i; double value, working_sum = 0.0; for( i = qmHandles.begin(); i != qmHandles.end(); ++i ) { bool result = qm->evaluate( pd, *i, value, err ); if( MSQ_CHKERR( err ) || !result ) return false; double tmp_val = value; for( short j = 1; j < pVal; ++j ) tmp_val *= value; working_sum += fabs( tmp_val ); } // get overall OF value, update member data, etc. size_t global_count; value_out = qm->get_negate_flag() * get_value( working_sum, qmHandles.size(), type, global_count, err ); // if (!global_count) // return false; // invalid mesh // else return true; }
bool LPtoPTemplate::evaluate_with_gradient | ( | EvalType | eval_type, |
PatchData & | pd, | ||
double & | OF_val, | ||
std::vector< Vector3D > & | grad, | ||
MsqError & | err | ||
) | [virtual] |
Evaluate objective function and gradient for specified patch.
Either evaluate the objective function over the passed patch or update the accumulated, global objective function value for changes in the passed patch, depending on the value of the EvalType.
The default implementation of this function will use the value-only variation of the evaluate method and numerical approximation to calculate gradients. Whenever possible, objective function implementations should provide more efficient analyical gradient calculations.
type | Evaluation type. |
pd | The patch. |
value_out | The passed-back value of the objective fuction. |
grad_out | The gradient of the OF wrt the coordinates of each *free* vertex in the patch. |
Numerically Calculates the gradient of the ObjectiveFunction for the free vertices in the patch. Returns 'false' if the patch is outside of a required feasible region, returns 'ture' otherwise. The behavior of the function depends on the value of the boolean useLocalGradient. If useLocalGradient is set to 'true', compute_numerical_gradient creates a sub-patch around a free vertex, and then perturbs that vertex in one of the coordinate directions. Only the ObjectiveFunction value on the local sub-patch is used in the computation of the gradient. Therefore, useLocalGradient should only be set to 'true' for ObjectiveFunctions which can use this method. Unless the concrete ObjectiveFunction sets useLocalGradient to 'true' in its constructor, the value will be 'false'. In this case, the objective function value for the entire patch is used in the calculation of the gradient. This is computationally expensive, but it is numerically correct for all (C_1) functions.
pd | PatchData on which the gradient is taken. |
grad | Array of Vector3D of length the number of vertices used to store gradient. |
OF_val | will be set to the objective function value. |
Reimplemented from MBMesquite::ObjectiveFunction.
Definition at line 171 of file LPtoPTemplate.cpp.
References dividingByN, MBMesquite::QualityMetric::evaluate_with_gradient(), MBMesquite::QualityMetric::get_evaluations(), MBMesquite::QualityMetric::get_negate_flag(), MBMesquite::ObjectiveFunctionTemplate::get_quality_metric(), get_value(), mGradient, mIndices, MSQ_CHKERR, MSQ_ERRFALSE, MBMesquite::PatchData::num_free_vertices(), MBMesquite::OF_FREE_EVALS_ONLY, pVal, and qmHandles.
{ QualityMetric* qm = get_quality_metric(); qm->get_evaluations( pd, qmHandles, OF_FREE_EVALS_ONLY, err ); MSQ_ERRFALSE( err ); // zero gradient grad_out.clear(); grad_out.resize( pd.num_free_vertices(), Vector3D( 0.0, 0.0, 0.0 ) ); bool qm_bool = true; double QM_val; OF_val = 0.; int p1; // calculate OF value and gradient for just the patch std::vector< size_t >::const_iterator i; for( i = qmHandles.begin(); i != qmHandles.end(); ++i ) { qm_bool = qm->evaluate_with_gradient( pd, *i, QM_val, mIndices, mGradient, err ); if( MSQ_CHKERR( err ) || !qm_bool ) return false; QM_val = fabs( QM_val ); double QM_pow = 1.0; double factor = qm->get_negate_flag(); if( pVal == 1 ) QM_pow = 1.0; else { QM_pow = QM_val; for( p1 = 2; p1 < pVal; ++p1 ) QM_pow *= QM_val; factor *= QM_pow * pVal; } OF_val += QM_pow * QM_val; for( size_t j = 0; j < mIndices.size(); ++j ) { mGradient[j] *= factor; grad_out[mIndices[j]] += mGradient[j]; } } // get overall OF value, update member data, etc. size_t global_count; OF_val = qm->get_negate_flag() * get_value( OF_val, qmHandles.size(), type, global_count, err ); // if (!global_count) // return false; // invalid mesh if( dividingByN && global_count ) { const double inv_n = 1.0 / global_count; std::vector< Vector3D >::iterator g; for( g = grad_out.begin(); g != grad_out.end(); ++g ) *g *= inv_n; } return true; }
bool LPtoPTemplate::evaluate_with_Hessian | ( | EvalType | type, |
PatchData & | pd, | ||
double & | value_out, | ||
std::vector< Vector3D > & | grad_out, | ||
MsqHessian & | Hessian_out, | ||
MsqError & | err | ||
) | [virtual] |
Evaluate objective function and Hessian for specified patch.
Either evaluate the objective function over the passed patch or update the accumulated, global objective function value for changes in the passed patch, depending on the value of the EvalType.
The default implementation of this function will fail.
type | Evaluation type. |
pd | The patch. |
value_out | The passed-back value of the objective fuction. |
grad_out | The gradient of the OF wrt the coordinates of each *free* vertex in the patch. |
Hessian_out | The Hessian of the OF wrt the coordinates of each *free* vertex in the patch. |
Reimplemented from MBMesquite::ObjectiveFunction.
Definition at line 365 of file LPtoPTemplate.cpp.
References MBMesquite::MsqHessian::add(), dividingByN, MBMesquite::QualityMetric::evaluate_with_Hessian(), MBMesquite::QualityMetric::get_evaluations(), MBMesquite::QualityMetric::get_negate_flag(), MBMesquite::ObjectiveFunctionTemplate::get_quality_metric(), get_value(), MBMesquite::MsqError::INVALID_STATE, mGradient, mHessian, mIndices, MSQ_CHKERR, MSQ_ERRFALSE, MSQ_SETERR, n, MBMesquite::PatchData::num_free_vertices(), MBMesquite::OF_FREE_EVALS_ONLY, MBMesquite::Matrix3D::outer_product(), pVal, qmHandles, MBMesquite::MsqHessian::scale(), and MBMesquite::MsqHessian::zero_out().
Referenced by ObjectiveFunctionTest::test_compute_ana_hessian_tet(), and ObjectiveFunctionTest::test_compute_ana_hessian_tet_scaled().
{ QualityMetric* qm = get_quality_metric(); qm->get_evaluations( pd, qmHandles, OF_FREE_EVALS_ONLY, err ); MSQ_ERRFALSE( err ); double negate_flag = qm->get_negate_flag(); // zero gradient and hessian grad.clear(); grad.resize( pd.num_free_vertices(), 0.0 ); hessian.zero_out(); double QM_val, QM_pow = 1.0; double fac1, fac2; Matrix3D elem_outer_product; bool qm_bool; size_t i, j, n; short p; // Loops over all elements in the patch. OF_val = 0.0; std::vector< size_t >::const_iterator k; for( k = qmHandles.begin(); k != qmHandles.end(); ++k ) { // Computes \nabla^2 Q(e). Only the free vertices will have non-zero entries. qm_bool = qm->evaluate_with_Hessian( pd, *k, QM_val, mIndices, mGradient, mHessian, err ); if( MSQ_CHKERR( err ) || !qm_bool ) return false; QM_val = fabs( QM_val ); // **** Computes Hessian **** const size_t nve = mIndices.size(); if( pVal == 1 ) { QM_pow = 1.0; n = 0; for( i = 0; i < nve; ++i ) { for( j = i; j < nve; ++j ) { // negate if necessary mHessian[n] *= negate_flag; hessian.add( mIndices[i], mIndices[j], mHessian[n], err ); MSQ_ERRFALSE( err ); ++n; } } fac1 = 1; } else if( pVal >= 2 ) { // Computes the coefficients: QM_pow = 1.0; for( p = 0; p < pVal - 2; ++p ) QM_pow *= QM_val; // 1 - computes p(p-1)Q(e)^{p-2} fac2 = pVal * ( pVal - 1 ) * QM_pow; // 2 - computes pQ(e)^{p-1} QM_pow *= QM_val; fac1 = pVal * QM_pow; // fac1 *= qm->get_negate_flag(); // fac2 *= qm->get_negate_flag(); n = 0; for( i = 0; i < nve; ++i ) { for( j = i; j < nve; ++j ) { elem_outer_product.outer_product( mGradient[i], mGradient[j] ); elem_outer_product *= fac2; mHessian[n] *= fac1; mHessian[n] += elem_outer_product; mHessian[n] *= negate_flag; hessian.add( mIndices[i], mIndices[j], mHessian[n], err ); MSQ_ERRFALSE( err ); ++n; } } } else { MSQ_SETERR( err )( " invalid P value.", MsqError::INVALID_STATE ); return false; } // **** Computes Gradient **** // For each vertex in the element ... for( i = 0; i < nve; ++i ) { // ... computes p*q^{p-1}*grad(q) ... mGradient[i] *= fac1 * negate_flag; // ... and accumulates it in the objective function gradient. // also scale the gradient by the scaling factor assert( mIndices[i] < pd.num_free_vertices() ); grad[mIndices[i]] += mGradient[i]; } // **** computes Objective Function value \sum_{i=1}^{N_e} |q_i|^P **** OF_val += QM_pow * QM_val; } size_t global_count; OF_val = negate_flag * get_value( OF_val, qmHandles.size(), type, global_count, err ); // if (!global_count) // return false; // invalid mesh if( dividingByN && global_count ) { const double inv_n = 1.0 / global_count; std::vector< Vector3D >::iterator g; for( g = grad.begin(); g != grad.end(); ++g ) *g *= inv_n; hessian.scale( inv_n ); } return true; }
bool LPtoPTemplate::evaluate_with_Hessian_diagonal | ( | EvalType | type, |
PatchData & | pd, | ||
double & | value_out, | ||
std::vector< Vector3D > & | grad_out, | ||
std::vector< SymMatrix3D > & | hess_diag_out, | ||
MsqError & | err | ||
) | [virtual] |
Evaluate objective function and diagonal blocks of Hessian for specified patch.
Either evaluate the objective function over the passed patch or update the accumulated, global objective function value for changes in the passed patch, depending on the value of the EvalType.
The default implementation of this function evaluate the entire Hessian and discard non-diagonal portions. Concrete objective functions should provide a more efficient implementation that evaluates and accumulates only the required terms.
type | Evaluation type. |
pd | The patch. |
value_out | The passed-back value of the objective fuction. |
grad_out | The gradient of the OF wrt the coordinates of each *free* vertex in the patch. |
hess_diag_out | The diagonal blocks of a Hessian. I.e. Decompose the Hessian into 3x3 submatrices and return only the submatrices (blocks) along the diagonal. |
Reimplemented from MBMesquite::ObjectiveFunction.
Definition at line 234 of file LPtoPTemplate.cpp.
References dividingByN, MBMesquite::QualityMetric::evaluate_with_Hessian_diagonal(), MBMesquite::QualityMetric::get_evaluations(), MBMesquite::QualityMetric::get_negate_flag(), MBMesquite::ObjectiveFunctionTemplate::get_quality_metric(), get_value(), MBMesquite::MsqError::INVALID_STATE, mDiag, mGradient, mIndices, MSQ_CHKERR, MSQ_ERRFALSE, MSQ_SETERR, MBMesquite::PatchData::num_free_vertices(), MBMesquite::OF_FREE_EVALS_ONLY, pVal, and qmHandles.
{ QualityMetric* qm = get_quality_metric(); qm->get_evaluations( pd, qmHandles, OF_FREE_EVALS_ONLY, err ); MSQ_ERRFALSE( err ); // zero gradient and hessian grad.clear(); grad.resize( pd.num_free_vertices(), 0.0 ); hess_diag.clear(); hess_diag.resize( pd.num_free_vertices(), 0.0 ); double QM_val, QM_pow = 1.0; double fac1, fac2; const double negate_flag = qm->get_negate_flag(); bool qm_bool; size_t i; short p; // Loops over all elements in the patch. OF_val = 0.0; std::vector< size_t >::const_iterator k; for( k = qmHandles.begin(); k != qmHandles.end(); ++k ) { // Computes \nabla^2 Q(e). Only the free vertices will have non-zero entries. qm_bool = qm->evaluate_with_Hessian_diagonal( pd, *k, QM_val, mIndices, mGradient, mDiag, err ); if( MSQ_CHKERR( err ) || !qm_bool ) return false; QM_val = fabs( QM_val ); // **** Computes Hessian **** const size_t nve = mIndices.size(); if( pVal == 1 ) { QM_pow = 1.0; for( i = 0; i < nve; ++i ) { mDiag[i] *= negate_flag; hess_diag[mIndices[i]] += mDiag[i]; } fac1 = 1; } else if( pVal >= 2 ) { // Computes the coefficients: QM_pow = 1.0; for( p = 0; p < pVal - 2; ++p ) QM_pow *= QM_val; // 1 - computes p(p-1)Q(e)^{p-2} fac2 = pVal * ( pVal - 1 ) * QM_pow; // 2 - computes pQ(e)^{p-1} QM_pow *= QM_val; fac1 = pVal * QM_pow; // fac1 *= qm->get_negate_flag(); // fac2 *= qm->get_negate_flag(); for( i = 0; i < nve; ++i ) { SymMatrix3D op( mGradient[i] ); op *= fac2; mDiag[i] *= fac1; op += mDiag[i]; op *= negate_flag; hess_diag[mIndices[i]] += op; } } else { MSQ_SETERR( err )( " invalid P value.", MsqError::INVALID_STATE ); return false; } // **** Computes Gradient **** // For each vertex in the element ... for( i = 0; i < nve; ++i ) { // ... computes p*q^{p-1}*grad(q) ... mGradient[i] *= fac1 * negate_flag; // ... and accumulates it in the objective function gradient. // also scale the gradient by the scaling factor assert( mIndices[i] < pd.num_free_vertices() ); grad[mIndices[i]] += mGradient[i]; } // **** computes Objective Function value \sum_{i=1}^{N_e} |q_i|^P **** OF_val += QM_pow * QM_val; } size_t global_count; OF_val = negate_flag * get_value( OF_val, qmHandles.size(), type, global_count, err ); // if (!global_count) // return false; // invalid mesh if( dividingByN && global_count ) { const double inv_n = 1.0 / global_count; for( i = 0; i < pd.num_free_vertices(); ++i ) { grad[i] *= inv_n; hess_diag[i] *= inv_n; } } return true; }
double LPtoPTemplate::get_value | ( | double | power_sum, |
size_t | count, | ||
EvalType | type, | ||
size_t & | global_count, | ||
MsqError & | err | ||
) | [private] |
Definition at line 84 of file LPtoPTemplate.cpp.
References MBMesquite::ObjectiveFunction::ACCUMULATE, MBMesquite::ObjectiveFunction::CALCULATE, dividingByN, mCount, mPowSum, MBMesquite::ObjectiveFunction::SAVE, saveCount, savePowSum, MBMesquite::ObjectiveFunction::TEMPORARY, and MBMesquite::ObjectiveFunction::UPDATE.
Referenced by evaluate(), evaluate_with_gradient(), evaluate_with_Hessian(), and evaluate_with_Hessian_diagonal().
{ double result = 0; switch( type ) { default: case CALCULATE: result = power_sum; global_count = count; break; case ACCUMULATE: mPowSum += power_sum; mCount += count; result = mPowSum; global_count = mCount; break; case SAVE: savePowSum = power_sum; saveCount = count; result = mPowSum; global_count = mCount; break; case UPDATE: mPowSum -= savePowSum; mCount -= saveCount; savePowSum = power_sum; saveCount = count; mPowSum += savePowSum; mCount += saveCount; result = mPowSum; global_count = mCount; break; case TEMPORARY: result = mPowSum - savePowSum + power_sum; global_count = mCount + count - saveCount; break; } // if (!global_count) // { // MSQ_SETERR(err)(" global_count is zero, possibly due to an invalid mesh.", // MsqError::INVALID_MESH); return -1; // result is invalid // } if( dividingByN && global_count ) result /= global_count; return result; }
MESQUITE_EXPORT void MBMesquite::LPtoPTemplate::set_dividing_by_n | ( | bool | d_bool | ) | [inline] |
Use set_dividing_by_n to control whether this objective function divides it's final value by the number of metric values used to compute the objective function value. That is, if the associated metric is element based, the obejctive function value is divided by the number of elements. If it is vertex based, the objective function is divided by the number of vertices. If this function is passed 'true', the function value will be scale. If it is passed false, the function value will not be scaled.
Definition at line 121 of file LPtoPTemplate.hpp.
References dividingByN.
Referenced by ObjectiveFunctionTest::test_compute_ana_hessian_tet_scaled(), ObjectiveFunctionTest::test_compute_gradient_LPtoPTemplate_L2_scaled(), ObjectiveFunctionTest::test_diagonal_gradient_LPtoPTemplate_L2_scaled(), ObjectiveFunctionTest::test_hessian_diagonal_LPtoPTemplate_L2_scaled(), and ObjectiveFunctionTest::test_hessian_gradient_LPtoPTemplate_L2_scaled().
{ dividingByN = d_bool; }
bool MBMesquite::LPtoPTemplate::dividingByN [private] |
dividingByN is true if we are dividing the objective function by the number of metric values.
Definition at line 133 of file LPtoPTemplate.hpp.
Referenced by evaluate_with_gradient(), evaluate_with_Hessian(), evaluate_with_Hessian_diagonal(), get_value(), LPtoPTemplate(), and set_dividing_by_n().
size_t MBMesquite::LPtoPTemplate::mCount [private] |
The number of accumulated entires
Definition at line 135 of file LPtoPTemplate.hpp.
Referenced by clear(), and get_value().
std::vector< SymMatrix3D > MBMesquite::LPtoPTemplate::mDiag [mutable, private] |
Temporary storage for qm Hessian diagonal blocks
Definition at line 147 of file LPtoPTemplate.hpp.
Referenced by evaluate_with_Hessian_diagonal().
std::vector< Vector3D > MBMesquite::LPtoPTemplate::mGradient [mutable, private] |
Temporary storage for qm gradient
Definition at line 145 of file LPtoPTemplate.hpp.
Referenced by evaluate_with_gradient(), evaluate_with_Hessian(), and evaluate_with_Hessian_diagonal().
std::vector< Matrix3D > MBMesquite::LPtoPTemplate::mHessian [mutable, private] |
Temporary storage for qm Hessian
Definition at line 149 of file LPtoPTemplate.hpp.
Referenced by evaluate_with_Hessian().
std::vector< size_t > MBMesquite::LPtoPTemplate::mIndices [mutable, private] |
Temporary storage for qm vertex indices
Definition at line 143 of file LPtoPTemplate.hpp.
Referenced by evaluate_with_gradient(), evaluate_with_Hessian(), and evaluate_with_Hessian_diagonal().
double MBMesquite::LPtoPTemplate::mPowSum [private] |
The accumulated sum of values
Definition at line 136 of file LPtoPTemplate.hpp.
Referenced by clear(), and get_value().
short MBMesquite::LPtoPTemplate::pVal [private] |
The metric value entries are raised to the pVal power.
Definition at line 130 of file LPtoPTemplate.hpp.
Referenced by evaluate(), evaluate_with_gradient(), evaluate_with_Hessian(), evaluate_with_Hessian_diagonal(), and LPtoPTemplate().
std::vector< size_t > MBMesquite::LPtoPTemplate::qmHandles [mutable, private] |
Temporary storage for qm sample handles
Definition at line 141 of file LPtoPTemplate.hpp.
Referenced by evaluate(), evaluate_with_gradient(), evaluate_with_Hessian(), and evaluate_with_Hessian_diagonal().
size_t MBMesquite::LPtoPTemplate::saveCount [private] |
Saved count from previous patch
Definition at line 137 of file LPtoPTemplate.hpp.
Referenced by clear(), and get_value().
double MBMesquite::LPtoPTemplate::savePowSum [private] |
Saved sum from previous patch
Definition at line 138 of file LPtoPTemplate.hpp.
Referenced by clear(), and get_value().