# HG changeset patch
# User Alpar Juttner <alpar@cs.elte.hu>
# Date 1225205358 0
# Node ID 3e906e6c08a9621adf2dcb63610f911637d81c78
# Parent  f8832dc16d459684b1740edb6b2b1840edaf4a7a# Parent  0badf3bb38c2a0ef9cb4c0dc1c2bd994979d043a
Merge

diff -r f8832dc16d45 -r 3e906e6c08a9 lemon/random.h
--- a/lemon/random.h	Tue Oct 28 15:37:46 2008 +0100
+++ b/lemon/random.h	Tue Oct 28 14:49:18 2008 +0000
@@ -540,10 +540,6 @@
     ///
     /// @{
 
-    ///\name Initialization
-    ///
-    /// @{
-
     /// \brief Default constructor
     ///
     /// Constructor with constant seeding.
@@ -708,12 +704,6 @@
       return real<Number>() * (b - a) + a;
     }
 
-    /// @}
-
-    ///\name Uniform distributions
-    ///
-    /// @{
-
     /// \brief Returns a random real number from the range [0, 1)
     ///
     /// It returns a random double from the range [0, 1).
@@ -771,8 +761,6 @@
       return _random_bits::IntConversion<Number, Word>::convert(core);
     }
 
-    /// @}
-
     unsigned int uinteger() {
       return uinteger<unsigned int>();
     }
@@ -806,19 +794,18 @@
 
     ///\name Non-uniform distributions
     ///
-
     ///@{
 
-    /// \brief Returns a random bool
+    /// \brief Returns a random bool with given probability of true result.
     ///
     /// It returns a random bool with given probability of true result.
     bool boolean(double p) {
       return operator()() < p;
     }
 
-    /// Standard Gauss distribution
+    /// Standard normal (Gauss) distribution
 
-    /// Standard Gauss distribution.
+    /// Standard normal (Gauss) distribution.
     /// \note The Cartesian form of the Box-Muller
     /// transformation is used to generate a random normal distribution.
     double gauss()
@@ -831,9 +818,9 @@
       } while(S>=1);
       return std::sqrt(-2*std::log(S)/S)*V1;
     }
-    /// Gauss distribution with given mean and standard deviation
+    /// Normal (Gauss) distribution with given mean and standard deviation
 
-    /// Gauss distribution with given mean and standard deviation.
+    /// Normal (Gauss) distribution with given mean and standard deviation.
     /// \sa gauss()
     double gauss(double mean,double std_dev)
     {
@@ -864,7 +851,7 @@
     /// standard deviation. The return value can direcly be passed to
     /// lognormal().
     std::pair<double,double> lognormalParamsFromMD(double mean,
-						   double std_dev)
+                                                   double std_dev)
     {
       double fr=std_dev/mean;
       fr*=fr;
@@ -872,14 +859,14 @@
       return std::pair<double,double>(std::log(mean)-lg/2.0,std::sqrt(lg));
     }
     /// Lognormal distribution with given mean and standard deviation
-    
+
     /// Lognormal distribution with given mean and standard deviation.
     ///
     double lognormalMD(double mean,double std_dev)
     {
       return lognormal(lognormalParamsFromMD(mean,std_dev));
     }
-    
+
     /// Exponential distribution with given mean
 
     /// This function generates an exponential distribution random number
@@ -983,7 +970,6 @@
 
     ///\name Two dimensional distributions
     ///
-
     ///@{
 
     /// Uniform distribution on the full unit circle
@@ -1000,7 +986,7 @@
       } while(V1*V1+V2*V2>=1);
       return dim2::Point<double>(V1,V2);
     }
-    /// A kind of two dimensional Gauss distribution
+    /// A kind of two dimensional normal (Gauss) distribution
 
     /// This function provides a turning symmetric two-dimensional distribution.
     /// Both coordinates are of standard normal distribution, but they are not