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simplex_monte_carlo.cpp
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# include <cstdlib>
# include <iostream>
# include <iomanip>
# include <cmath>
# include <ctime>
# include <cstring>
using namespace std;
# include "simplex_monte_carlo.hpp"
//****************************************************************************80
double *monomial_value ( int m, int n, int e[], double x[] )
//****************************************************************************80
//
// Purpose:
//
// MONOMIAL_VALUE evaluates a monomial.
//
// Discussion:
//
// This routine evaluates a monomial of the form
//
// product ( 1 <= i <= m ) x(i)^e(i)
//
// where the exponents are nonnegative integers. Note that
// if the combination 0^0 is encountered, it should be treated
// as 1.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 05 May 2007
//
// Author:
//
// John Burkardt
//
// Parameters:
//
// Input, int M, the spatial dimension.
//
// Input, int POINT_NUM, the number of points at which the
// monomial is to be evaluated.
//
// Input, int E[M], the exponents.
//
// Input, double X[M*N], the point coordinates.
//
// Output, double MONOMIAL_VALUE[N], the value of the monomial.
//
{
int i;
int j;
double *v;
v = new double[n];
for ( j = 0; j < n; j++ )
{
v[j] = 1.0;
}
for ( i = 0; i < m; i++ )
{
if ( 0 != e[i] )
{
for ( j = 0; j < n; j++ )
{
v[j] = v[j] * pow ( x[i+j*m], e[i] );
}
}
}
return v;
}
//****************************************************************************80
double r8vec_sum ( int n, double a[] )
//****************************************************************************80
//
// Purpose:
//
// R8VEC_SUM returns the sum of an R8VEC.
//
// Discussion:
//
// An R8VEC is a vector of R8's.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 15 October 2004
//
// Author:
//
// John Burkardt
//
// Parameters:
//
// Input, int N, the number of entries in the vector.
//
// Input, double A[N], the vector.
//
// Output, double R8VEC_SUM, the sum of the vector.
//
{
int i;
double value;
value = 0.0;
for ( i = 0; i < n; i++ )
{
value = value + a[i];
}
return value;
}
//****************************************************************************80
double *r8vec_uniform_01_new ( int n, int &seed )
//****************************************************************************80
//
// Purpose:
//
// R8VEC_UNIFORM_01_NEW returns a new unit pseudorandom R8VEC.
//
// Discussion:
//
// This routine implements the recursion
//
// seed = ( 16807 * seed ) mod ( 2^31 - 1 )
// u = seed / ( 2^31 - 1 )
//
// The integer arithmetic never requires more than 32 bits,
// including a sign bit.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 19 August 2004
//
// Author:
//
// John Burkardt
//
// Reference:
//
// Paul Bratley, Bennett Fox, Linus Schrage,
// A Guide to Simulation,
// Second Edition,
// Springer, 1987,
// ISBN: 0387964673,
// LC: QA76.9.C65.B73.
//
// Bennett Fox,
// Algorithm 647:
// Implementation and Relative Efficiency of Quasirandom
// Sequence Generators,
// ACM Transactions on Mathematical Software,
// Volume 12, Number 4, December 1986, pages 362-376.
//
// Pierre L'Ecuyer,
// Random Number Generation,
// in Handbook of Simulation,
// edited by Jerry Banks,
// Wiley, 1998,
// ISBN: 0471134031,
// LC: T57.62.H37.
//
// Peter Lewis, Allen Goodman, James Miller,
// A Pseudo-Random Number Generator for the System/360,
// IBM Systems Journal,
// Volume 8, Number 2, 1969, pages 136-143.
//
// Parameters:
//
// Input, int N, the number of entries in the vector.
//
// Input/output, int &SEED, a seed for the random number generator.
//
// Output, double R8VEC_UNIFORM_01_NEW[N], the vector of pseudorandom values.
//
{
int i;
int i4_huge = 2147483647;
int k;
double *r;
if ( seed == 0 )
{
cerr << "\n";
cerr << "R8VEC_UNIFORM_01_NEW - Fatal error!\n";
cerr << " Input value of SEED = 0.\n";
exit ( 1 );
}
r = new double[n];
for ( i = 0; i < n; i++ )
{
k = seed / 127773;
seed = 16807 * ( seed - k * 127773 ) - k * 2836;
if ( seed < 0 )
{
seed = seed + i4_huge;
}
r[i] = ( double ) ( seed ) * 4.656612875E-10;
}
return r;
}
//****************************************************************************80
double simplex01_monomial_integral ( int m, int e[] )
//****************************************************************************80
//
// Purpose:
//
// SIMPLEX01_MONOMIAL_INTEGRAL: integrals in the unit simplex in M dimensions.
//
// Discussion:
//
// The monomial is F(X) = product ( 1 <= I <= M ) X(I)^E(I).
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 16 January 2014
//
// Author:
//
// John Burkardt
//
// Parameters:
//
// Input, int M, the spatial dimension.
//
// Input, int E[M], the exponents.
// Each exponent must be nonnegative.
//
// Output, double SIMPLEX01_MONOMIAL_INTEGRAL, the integral.
//
{
int i;
double integral;
int j;
int k;
for ( i = 0; i < m; i++ )
{
if ( e[i] < 0 )
{
cerr << "\n";
cerr << "SIMPLEX01_MONOMIAL_INTEGRAL - Fatal error!\n";
cerr << " All exponents must be nonnegative.\n";
exit ( 1 );
}
}
k = 0;
integral = 1.0;
for ( i = 0; i < m; i++ )
{
for ( j = 1; j <= e[i]; j++ )
{
k = k + 1;
integral = integral * ( double ) ( j ) / ( double ) ( k );
}
}
for ( i = 0; i < m; i++ )
{
k = k + 1;
integral = integral / ( double ) ( k );
}
return integral;
}
//****************************************************************************80
double *simplex01_sample ( int m, int n, int &seed )
//****************************************************************************80
//
// Purpose:
//
// SIMPLEX01_SAMPLE samples the unit simplex in M dimensions.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 16 January 2015
//
// Author:
//
// John Burkardt
//
// Reference:
//
// Reuven Rubinstein,
// Monte Carlo Optimization, Simulation, and Sensitivity
// of Queueing Networks,
// Krieger, 1992,
// ISBN: 0894647644,
// LC: QA298.R79.
//
// Parameters:
//
// Input, int M, the spatial dimension.
//
// Input, int N, the number of points.
//
// Input/output, int &SEED, a seed for the random
// number generator.
//
// Output, double SIMPLEX01_SAMPLE_01[M*N], the points.
//
{
double *e;
double e_sum;
int i;
int j;
double *x;
x = new double[m*n];
for ( j = 0; j < n; j++ )
{
e = r8vec_uniform_01_new ( m + 1, seed );
for ( i = 0; i < m + 1; i++ )
{
e[i] = - log ( e[i] );
}
e_sum = r8vec_sum ( m + 1, e );
for ( i = 0; i < m; i++ )
{
x[i+j*m] = e[i] / e_sum;
}
delete [] e;
}
return x;
}
//****************************************************************************80
double simplex01_volume ( int m )
//****************************************************************************80
//
// Purpose:
//
// SIMPLEX01_VOLUME returns the volume of the unit simplex in M dimensions.
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 16 January 2014
//
// Author:
//
// John Burkardt
//
// Parameters:
//
// Input, int M, the spatial dimension.
//
// Output, double SIMPLEX01_VOLUME, the volume.
//
{
int i;
double volume;
volume = 1.0;
for ( i = 1; i <= m; i++ )
{
volume = volume / ( double ) ( i );
}
return volume;
}
//****************************************************************************80
void timestamp ( )
//****************************************************************************80
//
// Purpose:
//
// TIMESTAMP prints the current YMDHMS date as a time stamp.
//
// Example:
//
// 31 May 2001 09:45:54 AM
//
// Licensing:
//
// This code is distributed under the GNU LGPL license.
//
// Modified:
//
// 08 July 2009
//
// Author:
//
// John Burkardt
//
// Parameters:
//
// None
//
{
# define TIME_SIZE 40
static char time_buffer[TIME_SIZE];
const struct std::tm *tm_ptr;
size_t len;
std::time_t now;
now = std::time ( NULL );
tm_ptr = std::localtime ( &now );
len = std::strftime ( time_buffer, TIME_SIZE, "%d %B %Y %I:%M:%S %p", tm_ptr );
std::cout << time_buffer << "\n";
return;
# undef TIME_SIZE
}