npstat::EquidistantInLogSpace Class Reference

#include <EquidistantSequence.h>

Inheritance diagram for npstat::EquidistantInLogSpace:

Public Member Functions
	EquidistantInLogSpace (double minScale, double maxScale, unsigned nScales)
virtual	~EquidistantInLogSpace ()

Private Member Functions
	EquidistantInLogSpace ()=delete

Detailed Description

A sequence of points equidistant in log space. Note that std::vector destructor is not virtual, so do not destroy this class by base pointer or reference.

Definition at line 36 of file EquidistantSequence.h.

Constructor & Destructor Documentation

npstat::EquidistantInLogSpace::EquidistantInLogSpace	(	double	minScale,
		double	maxScale,
		unsigned	nScales
	)

Definition at line 32 of file EquidistantSequence.cc.

References JetChargeProducer_cfi::exp, mps_fire::i, dqm-mbProfile::log, SimDataFormats::CaloAnalysis::sc, and mathSSE::sqrt().

      : std::vector<double>() {
    if (nScales)
      if (!(minScale > 0.0 && maxScale > 0.0))
        throw npstat::NpstatInvalidArgument(
            "In npstat::EquidistantInLogSpace constructor: "
            "minimum and maximum scales must be positive");
    switch (nScales) {
      case 0:
        break;

      case 1: {
        this->reserve(nScales);
        const double sc = (minScale == maxScale ? minScale : sqrt(minScale * maxScale));
        push_back(sc);
      } break;

      default: {
        this->reserve(nScales);
        const double logmax = log(maxScale);
        const double logmin = log(minScale);
        const double logstep = (logmax - logmin) / (nScales - 1);
        push_back(minScale);
        for (unsigned i = 1; i < nScales - 1; ++i)
          push_back(exp(logmin + i * logstep));
        push_back(maxScale);
      } break;
    }
  }

virtual npstat::EquidistantInLogSpace::~EquidistantInLogSpace ( )

inlinevirtual

Definition at line 39 of file EquidistantSequence.h.

{}

npstat::EquidistantInLogSpace::EquidistantInLogSpace ( )

privatedelete