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mirror of https://github.com/aportelli/LatAnalyze.git synced 2024-11-10 00:45:36 +00:00

XY*Data: helper methods for unidimensional data

This commit is contained in:
Antonin Portelli 2016-04-05 14:29:57 +01:00
parent 2fca987e8f
commit 3d86708e6f
2 changed files with 42 additions and 0 deletions

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@ -80,6 +80,9 @@ public:
const DMatSample & x(const Index k); const DMatSample & x(const Index k);
DSample & y(const Index k, const Index j); DSample & y(const Index k, const Index j);
const DSample & y(const Index k, const Index j) const; const DSample & y(const Index k, const Index j) const;
template <typename... Ts>
void setUnidimData(const DMatSample &xData,
const Ts & ...yDatas);
const DMat & getXXVar(const Index i1, const Index i2); const DMat & getXXVar(const Index i1, const Index i2);
const DMat & getYYVar(const Index j1, const Index j2); const DMat & getYYVar(const Index j1, const Index j2);
const DMat & getXYVar(const Index i, const Index j); const DMat & getXYVar(const Index i, const Index j);
@ -132,6 +135,25 @@ private:
/****************************************************************************** /******************************************************************************
* XYSampleData template implementation * * XYSampleData template implementation *
******************************************************************************/ ******************************************************************************/
template <typename... Ts>
void XYSampleData::setUnidimData(const DMatSample &xData, const Ts & ...yDatas)
{
static_assert(static_or<std::is_assignable<DMatSample, Ts>::value...>::value,
"y data arguments are not compatible with DMatSample");
std::vector<const DMatSample *> yData{&yDatas...};
FOR_STAT_ARRAY(xData, s)
FOR_VEC(xData[central], r)
{
x(r, 0)[s] = xData[s](r);
for (unsigned int j = 0; j < yData.size(); ++j)
{
y(r, j)[s] = (*(yData[j]))[s](r);
}
}
}
template <typename... Ts> template <typename... Ts>
SampleFitResult XYSampleData::fit(std::vector<Minimizer *> &minimizer, SampleFitResult XYSampleData::fit(std::vector<Minimizer *> &minimizer,
const DVec &init, const DVec &init,

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@ -79,6 +79,8 @@ public:
void setXYVar(const Index i, const Index j, const DMat &m); void setXYVar(const Index i, const Index j, const DMat &m);
void setXError(const Index i, const DVec &err); void setXError(const Index i, const DVec &err);
void setYError(const Index j, const DVec &err); void setYError(const Index j, const DVec &err);
template <typename... Ts>
void setUnidimData(const DMat &xData, const Ts & ...yDatas);
const DMat & getXXVar(const Index i1, const Index i2) const; const DMat & getXXVar(const Index i1, const Index i2) const;
const DMat & getYYVar(const Index j1, const Index j2) const; const DMat & getYYVar(const Index j1, const Index j2) const;
const DMat & getXYVar(const Index i, const Index j) const; const DMat & getXYVar(const Index i, const Index j) const;
@ -135,6 +137,24 @@ private:
/****************************************************************************** /******************************************************************************
* XYStatData template implementation * * XYStatData template implementation *
******************************************************************************/ ******************************************************************************/
template <typename... Ts>
void XYStatData::setUnidimData(const DMat &xData, const Ts & ...yDatas)
{
static_assert(static_or<std::is_assignable<DMat, Ts>::value...>::value,
"y data arguments are not compatible with DMat");
std::vector<const DMat *> yData{&yDatas...};
FOR_VEC(xData, r)
{
x(r, 0) = xData(r);
for (unsigned int j = 0; j < yData.size(); ++j)
{
y(r, j) = (*(yData[j]))(r);
}
}
}
template <typename... Ts> template <typename... Ts>
FitResult XYStatData::fit(std::vector<Minimizer *> &minimizer, const DVec &init, FitResult XYStatData::fit(std::vector<Minimizer *> &minimizer, const DVec &init,
const DoubleModel &model, const Ts... models) const DoubleModel &model, const Ts... models)