// RooPolynomial implements a polynomial p.d.f of the form
// <pre>
// f(x) = sum_i a_i * x^i
//</pre>
// By default coefficient a_0 is chosen to be 1, as polynomial
// probability density functions have one degree of freedome
// less than polynomial functions due to the normalization condition
// END_HTML
#include <cmath>
#include "TError.h"
#include "RooPolynomial.h"
#include "RooAbsReal.h"
#include "RooArgList.h"
#include "RooMsgService.h"
using namespace std;
ClassImp(RooPolynomial)
;
RooPolynomial::RooPolynomial()
{
}
RooPolynomial::RooPolynomial(const char* name, const char* title,
RooAbsReal& x, const RooArgList& coefList, Int_t lowestOrder) :
RooAbsPdf(name, title),
_x("x", "Dependent", this, x),
_coefList("coefList","List of coefficients",this),
_lowestOrder(lowestOrder)
{
if (_lowestOrder<0) {
coutE(InputArguments) << "RooPolynomial::ctor(" << GetName()
<< ") WARNING: lowestOrder must be >=0, setting value to 0" << endl ;
_lowestOrder=0 ;
}
RooFIter coefIter = coefList.fwdIterator() ;
RooAbsArg* coef ;
while((coef = (RooAbsArg*)coefIter.next())) {
if (!dynamic_cast<RooAbsReal*>(coef)) {
coutE(InputArguments) << "RooPolynomial::ctor(" << GetName() << ") ERROR: coefficient " << coef->GetName()
<< " is not of type RooAbsReal" << endl ;
R__ASSERT(0) ;
}
_coefList.add(*coef) ;
}
}
RooPolynomial::RooPolynomial(const char* name, const char* title,
RooAbsReal& x) :
RooAbsPdf(name, title),
_x("x", "Dependent", this, x),
_coefList("coefList","List of coefficients",this),
_lowestOrder(1)
{ }
RooPolynomial::RooPolynomial(const RooPolynomial& other, const char* name) :
RooAbsPdf(other, name),
_x("x", this, other._x),
_coefList("coefList",this,other._coefList),
_lowestOrder(other._lowestOrder)
{
}
RooPolynomial::~RooPolynomial()
{
}
Double_t RooPolynomial::evaluate() const
{
const unsigned sz = _coefList.getSize();
const int lowestOrder = _lowestOrder;
if (!sz) return lowestOrder ? 1. : 0.;
_wksp.clear();
_wksp.reserve(sz);
{
const RooArgSet* nset = _coefList.nset();
RooFIter it = _coefList.fwdIterator();
RooAbsReal* c;
while ((c = (RooAbsReal*) it.next())) _wksp.push_back(c->getVal(nset));
}
const Double_t x = _x;
Double_t retVal = _wksp[sz - 1];
for (unsigned i = sz - 1; i--; ) retVal = _wksp[i] + x * retVal;
return retVal * std::pow(x, lowestOrder) + (lowestOrder ? 1.0 : 0.0);
}
Int_t RooPolynomial::getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* ) const
{
if (matchArgs(allVars, analVars, _x)) return 1;
return 0;
}
Double_t RooPolynomial::analyticalIntegral(Int_t code, const char* rangeName) const
{
(void)code;
R__ASSERT(1 == code);
const Double_t xmin = _x.min(rangeName), xmax = _x.max(rangeName);
const int lowestOrder = _lowestOrder;
const unsigned sz = _coefList.getSize();
if (!sz) return xmax - xmin;
_wksp.clear();
_wksp.reserve(sz);
{
const RooArgSet* nset = _coefList.nset();
RooFIter it = _coefList.fwdIterator();
unsigned i = 1 + lowestOrder;
RooAbsReal* c;
while ((c = (RooAbsReal*) it.next())) {
_wksp.push_back(c->getVal(nset) / Double_t(i));
++i;
}
}
Double_t min = _wksp[sz - 1], max = _wksp[sz - 1];
for (unsigned i = sz - 1; i--; )
min = _wksp[i] + xmin * min, max = _wksp[i] + xmax * max;
return max * std::pow(xmax, 1 + lowestOrder) - min * std::pow(xmin, 1 + lowestOrder) +
(lowestOrder ? (xmax - xmin) : 0.);
}