Geant4 Cross Reference

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Geant4/externals/clhep/include/CLHEP/Random/Stat.h

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  1 // -*- C++ -*-
  2 //
  3 // -----------------------------------------------------------------------
  4 //                             HEP Random
  5 //                          --- HepStat ---
  6 //          Purely static class containing useful statistics methods
  7 
  8 // -----------------------------------------------------------------------
  9 
 10 // HepStat is a substitute for using a namespace.
 11 // One would never instantiate a HepStat object;
 12 // usage of any of these methods looks like --
 13 // 
 14 // double x = HepStat::erf ( .1 );
 15 //
 16 // A user may wish to improve the readability of algortihm code which uses 
 17 // one method many times by lines like using HepStat::erf
 18 //
 19 // and later, x = erf(u); will work.
 20 //
 21 
 22 // These methods are implemented in separate .cc files so that 
 23 // user code need pull in only the code that is necessary.  Time
 24 // (ROUGH estimates in cycles) and table footprint info is provided
 25 // in this header.
 26 
 27 
 28 // =======================================================================
 29 // M. Fischler    - Created: 1/25/00
 30 //
 31 // M. Fischler    - Inserted flatToGaussian 1/25/00
 32 //          From code of an attempt to speed up RandGauss
 33 //          by use of tables and splines.  The code was not
 34 //              significantly faster than Box-Mueller, so that
 35 //              algorithm is left as the RandGauss implementation.
 36 //      - Inserted inverseErf
 37 // M. Fischler    - Inserted gammln 2/4/00
 38 // M. Fischler    - Made constructor private; removed private destructor 4/17/00
 39 // =======================================================================
 40 
 41 #ifndef HepStat_h
 42 #define HepStat_h 1
 43 
 44 namespace CLHEP {
 45 
 46 /**
 47  * @author
 48  * @ingroup random
 49  */
 50 class HepStat {
 51 
 52 private:
 53   HepStat();  
 54   // You CANNOT instantiate a HepStat object.
 55 
 56 public:
 57 
 58   static double flatToGaussian (double r);
 59    // This is defined by the satement that if e() provides a uniform random
 60    // on (0,1) then flatToGaussian(e()) is distributed as a unit normal
 61    // Gaussian.  That is, flatToGaussian is the inverse of the c.d.f. of
 62    // a Gaussian.
 63     // Footprint:  30 K     // Time:  150 cycles
 64 
 65   static double inverseErf (double t);
 66   static double erf (double x);
 67         // defined in flatToGaussian.cc
 68 
 69   static double erfQ (double x);
 70   // Quicker, and with less footprint, than erf and gaussianCDF
 71   // but only accurate to 7 digits.
 72     // Footprint:  0    // Time:  
 73 
 74   static double gammln (double x);
 75   // ln (gamma(x))
 76 
 77 };
 78 
 79 }  // namespace CLHEP
 80 
 81 #endif
 82