FEBio/FEBioOpt/FEObjectiveFunction.cpp at develop · febiosoftware/FEBio · GitHub

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/*This file is part of the FEBio source code and is licensed under the MIT license

listed below.

See Copyright-FEBio.txt for details.

the City of New York, and others.

Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.*/

#include "stdafx.h"

#include "FEObjectiveFunction.h"

#include <FECore/FEModel.h>

#include <FECore/log.h>

//=============================================================================

FEObjectiveFunction::FEObjectiveFunction(FEModel* fem) : m_fem(fem)

{

m_verbose = false;

}

FEObjectiveFunction::~FEObjectiveFunction()

{

}

bool FEObjectiveFunction::Init()

{

// make sure we have a model

if (m_fem == 0) return false;

return true;

}

void FEObjectiveFunction::Reset()

{

}

double FEObjectiveFunction::Evaluate()

{

vector<double> dummy(Measurements());

return Evaluate(dummy);

}

double FEObjectiveFunction::Evaluate(vector<double>& y)

{

// get the number of measurements

int ndata = Measurements();

y.resize(ndata);

// evaluate the functions

EvaluateFunctions(y);

// get the measurement vector

vector<double> y0(ndata);

GetMeasurements(y0);

vector<double> x(ndata);

for (int i = 0; i < ndata; ++i) x[i] = i + 1;

GetXValues(x);

// evaluate regression coefficient R^2

double rsq = RegressionCoefficient(y0, y);

double chisq = 0.0;

if (m_verbose) feLog(" CURRENT REQUIRED DIFFERENCE\n");

for (int i = 0; i<ndata; ++i)

{

double dy = (y[i] - y0[i]);

chisq += dy*dy;

if (m_verbose) feLog("%15.10lg %15.10lg %15.10lg %15lg\n", x[i], y[i], y0[i], fabs(y[i] - y0[i]));

}

feLog("objective value: %lg\n", chisq);

feLog("regression coef: %lg\n", rsq);

return chisq;

}

double FEObjectiveFunction::RegressionCoefficient(const std::vector<double>& y0, const std::vector<double>& y)

{

int ndata = (int)y0.size();

double xb = 0, yb = 0, xyb = 0, x2b = 0, y2b = 0;

for (int i = 0; i < ndata; ++i)

{

xb += y0[i]; yb += y[i];

xyb += y0[i] * y[i];

x2b += pow(y0[i], 2); y2b += pow(y[i], 2);

}

xb /= ndata; yb /= ndata;

xyb /= ndata;

x2b /= ndata; y2b /= ndata;

double D = (x2b - xb * xb) * (y2b - yb * yb);

double rsq = (D != 0 ? pow(xyb - xb * yb, 2) / D : 0);

return rsq;

}

//=============================================================================

//----------------------------------------------------------------------------

FEDataFitObjective::FEDataFitObjective(FEModel* fem) : FEObjectiveFunction(fem)

{

m_src = 0;

}

FEDataFitObjective::~FEDataFitObjective()

{

if (m_src) delete m_src;

m_src = 0;

}

//----------------------------------------------------------------------------

bool FEDataFitObjective::Init()

{

if (FEObjectiveFunction::Init() == false) return false;

// get the FE model

FEModel& fem = *GetFEModel();

// initialize data source

if (m_src == 0) return false;

if (m_src->Init() == false) return false;

return true;

}

//----------------------------------------------------------------------------

// set the data source

void FEDataFitObjective::SetDataSource(FEDataSource* src)

{

if (m_src) delete m_src;

m_src = src;

}

//----------------------------------------------------------------------------

// set the data measurements

void FEDataFitObjective::SetMeasurements(const vector<pair<double, double> >& data)

{

m_lc.Clear();

int n = (int)data.size();

for (int i=0; i<n; ++i)

{

const pair<double,double>& pt = data[i];

m_lc.Add(pt.first, pt.second);

}

//----------------------------------------------------------------------------

void FEDataFitObjective::Reset()

{

// call base class first

FEObjectiveFunction::Reset();

m_src->Reset();

}

//----------------------------------------------------------------------------

// return the number of measurements. I.e. the size of the measurement vector

int FEDataFitObjective::Measurements()

{

return m_lc.Points();

}

//----------------------------------------------------------------------------

// Evaluate the measurement vector and return in y0

void FEDataFitObjective::GetMeasurements(vector<double>& y0)

{

int ndata = m_lc.Points();

y0.resize(ndata);

for (int i = 0; i<ndata; ++i) y0[i] = m_lc.Point(i).y;

}

void FEDataFitObjective::GetXValues(std::vector<double>& x)

{

x = m_x;

}

//----------------------------------------------------------------------------

void FEDataFitObjective::EvaluateFunctions(vector<double>& f)

{

int ndata = m_lc.Points();

m_x.resize(ndata);

for (int i = 0; i<ndata; ++i)

{

double xi = m_lc.Point(i).x;

m_x[i] = xi;

f[i] = m_src->Evaluate(xi);

}

//=============================================================================

bool FEMinimizeObjective::ParamFunction::Init()

{

if (!Function::Init()) return false;

FEParamValue val = m_fem->GetParameterValue(ParamString(m_name.c_str()));

if (val.isValid() == false) return false;

if (val.type() != FE_PARAM_DOUBLE) return false;

m_var = (double*)val.data_ptr();

if (m_var == nullptr) return false;

return true;

}

FEMinimizeObjective::FilterAvgFunction::FilterAvgFunction(FEModel* fem, FELogElemSource* pd, FEElementSet* elemSet, double trg) : Function(fem)

{

m_pd = pd;

m_elemSet = elemSet;

m_y0 = trg;

}

bool FEMinimizeObjective::FilterAvgFunction::Init()

{

if (!Function::Init()) return false;

if (m_pd == nullptr) return false;

if (m_elemSet == nullptr) return false;

return true;

}

double FEMinimizeObjective::FilterAvgFunction::Value() const

{

int NE = m_elemSet->Elements();

double sum = 0.0;

for (int i = 0; i < NE; ++i)

{

sum += m_pd->value(m_elemSet->Element(i));

}

sum /= (double)NE;

return sum;

}

FEMinimizeObjective::FEMinimizeObjective(FEModel* fem) : FEObjectiveFunction(fem)

{

}

FEMinimizeObjective::~FEMinimizeObjective()

{

for (Function* f : m_Func) delete f;

m_Func.clear();

}

void FEMinimizeObjective::AddFunction(FEMinimizeObjective::Function* func)

{

m_Func.push_back(func);

}

bool FEMinimizeObjective::Init()

{

if (FEObjectiveFunction::Init() == false) return false;

FEModel* fem = GetFEModel();

if (fem == nullptr) return false;

int N = (int) m_Func.size();

for (int i=0; i<N; ++i)

{

Function& Fi = *m_Func[i];

if (Fi.Init() == false) return false;

}

return true;

}

int FEMinimizeObjective::Measurements()

{

return (int) m_Func.size();

}

void FEMinimizeObjective::EvaluateFunctions(vector<double>& f)

{

int N = (int)m_Func.size();

f.resize(N);

for (int i=0; i<N; ++i)

{

Function& Fi = *m_Func[i];

f[i] = Fi.Value();

}

void FEMinimizeObjective::GetMeasurements(vector<double>& y)

{

int N = (int) m_Func.size();

y.resize(N);

for (int i=0; i<N; ++i)

{

y[i] = m_Func[i]->Target();

}

//=============================================================================

FEElementDataTable::FEElementDataTable(FEModel* fem) : FEObjectiveFunction(fem)

{

m_var = nullptr;

}

void FEElementDataTable::AddValue(int elemID, double v)

{

Entry d;

d.elemId = elemID;

d.target = v;

d.pe = nullptr;

m_Data.push_back(d);

}

void FEElementDataTable::SetVariable(FELogElemSource* var)

{

m_var = var;

}

bool FEElementDataTable::Init()

{

FEModel& fem = *GetFEModel();

FEMesh& mesh = fem.GetMesh();

int N = (int)m_Data.size();

if (N == 0) return false;

for (int i = 0; i < N; ++i)

{

Entry& di = m_Data[i];

FEElement* el = mesh.FindElementFromID(di.elemId);

if (el == nullptr) return false;

di.pe = el;

}

return true;

}

// return number of measurements (i.e. nr of terms in objective function)

int FEElementDataTable::Measurements()

{

return (int)m_Data.size();

}

// evaluate the function values (i.e. the f_i above)

void FEElementDataTable::EvaluateFunctions(vector<double>& f)

{

assert(m_var);

int N = (int)m_Data.size();

f.resize(N);

FEModel& fem = *GetFEModel();

FEMesh& mesh = fem.GetMesh();

for (int i = 0; i < N; ++i)

{

FEElement* pe = m_Data[i].pe;

// calculate element average measure

double val = m_var->value(*pe);

// store result

f[i] = val;

}

// get the measurement vector (i.e. the y_i above)

void FEElementDataTable::GetMeasurements(vector<double>& y)

{

int N = (int)m_Data.size();

y.resize(N);

for (int i = 0; i < N; ++i)

{

y[i] = m_Data[i].target;

}

//=============================================================================

FENodeDataTable::FENodeDataTable(FEModel* fem) : FEObjectiveFunction(fem)

{

}

bool FENodeDataTable::AddValue(int nodeID, vector<double>& v)

{

if (v.size() != m_var.size()) return false;

for (int i = 0; i < v.size(); ++i)

{

Entry d;

d.nodeId = nodeID;

d.target = v[i];

d.ivar = i;

d.index = -1;

m_Data.push_back(d);

}

return true;

}

void FENodeDataTable::AddVariable(FELogNodeData* var)

{

m_var.push_back(var);

}

bool FENodeDataTable::Init()

{

FEModel& fem = *GetFEModel();

FEMesh& mesh = fem.GetMesh();

int N = (int)m_Data.size();

if (N == 0) return false;

for (int i = 0; i < N; ++i)

{

Entry& di = m_Data[i];

FENode* node = mesh.FindNodeFromID(di.nodeId);

if (node == nullptr) return false;

di.index = di.nodeId - 1; // NOTE: This assumes one-based indexing of node IDs.

}

return true;

}

// return number of measurements (i.e. nr of terms in objective function)

int FENodeDataTable::Measurements()

{

return (int)m_Data.size();

}

// evaluate the function values (i.e. the f_i above)

void FENodeDataTable::EvaluateFunctions(vector<double>& f)

{

assert(m_var.size() > 0);

int N = (int)m_Data.size();

f.resize(N);

FEModel& fem = *GetFEModel();

FEMesh& mesh = fem.GetMesh();

for (int i = 0; i < N; ++i)

{

int n = m_Data[i].index;

int v = m_Data[i].ivar;

// calculate node value

double val = m_var[v]->value(mesh.Node(n));

// store result

f[i] = val;

}

// get the measurement vector (i.e. the y_i above)

void FENodeDataTable::GetMeasurements(vector<double>& y)

{

int N = (int)m_Data.size();

y.resize(N);

for (int i = 0; i < N; ++i)

{

y[i] = m_Data[i].target;

}

FEBio/FEBioOpt/FEObjectiveFunction.cpp at develop · febiosoftware/FEBio · GitHub

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