view liboctave/oct-rand.h @ 8987:542015fada9e

Eliminate the workspace in sparse transpose. The output's cidx (column start offset array) can serve as the workspace, so the routines operate in the space of their output.
author Jason Riedy <jason@acm.org>
date Mon, 16 Mar 2009 17:03:07 -0400
parents eb63fbe60fab
children 4c0cdbe0acca
line wrap: on
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/*

Copyright (C) 2003, 2005, 2006, 2007, 2008 John W. Eaton

This file is part of Octave.

Octave is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation; either version 3 of the License, or (at your
option) any later version.

Octave is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
for more details.

You should have received a copy of the GNU General Public License
along with Octave; see the file COPYING.  If not, see
<http://www.gnu.org/licenses/>.

*/

#if !defined (octave_rand_h)
#define octave_rand_h 1

#include <map>
#include <string>

#include "dColVector.h"
#include "dMatrix.h"
#include "dNDArray.h"
#include "lo-ieee.h"

class
OCTAVE_API
octave_rand
{
protected:

  octave_rand (void);

public:

  ~octave_rand (void) { }

  static bool instance_ok (void);

  // Return the current seed.
  static double seed (void)
  {
    return instance_ok () ? instance->do_seed () : octave_NaN;
  }

  // Set the seed.
  static void seed (double s)
  {
    if (instance_ok ())
      instance->do_seed (s);
  }

  // Return the current state.
  static ColumnVector state (const std::string& d = std::string ())
  {
    return instance_ok () ? instance->do_state (d) : ColumnVector ();
  }

  // Set the current state/
  static void state (const ColumnVector &s,
		     const std::string& d = std::string ())
  {
    if (instance_ok ())
      instance->do_state (s, d);
  }
  
  // Return the current distribution.
  static std::string distribution (void)
  {
    return instance_ok () ? instance->do_distribution () : std::string ();
  }

  // Set the current distribution.  May be either "uniform" (the
  // default), "normal", "exponential", "poisson", or "gamma".
  static void distribution (const std::string& d)
  {
    if (instance_ok ())
      instance->do_distribution (d);
  }

  static void uniform_distribution (void)
  {
    if (instance_ok ())
      instance->do_uniform_distribution ();
  }

  static void normal_distribution (void)
  {
    if (instance_ok ())
      instance->do_normal_distribution ();
  }

  static void exponential_distribution (void)
  {
    if (instance_ok ())
      instance->do_exponential_distribution ();
  }

  static void poisson_distribution (void)
  {
    if (instance_ok ())
      instance->do_poisson_distribution ();
  }

  static void gamma_distribution (void)
  {
    if (instance_ok ())
      instance->do_gamma_distribution ();
  }

  // Return the next number from the sequence.
  static double scalar (double a = 1.0)
  {
    return instance_ok () ? instance->do_scalar (a) : octave_NaN;
  }

  // Return a matrix of numbers from the sequence, filled in column
  // major order.
  static Matrix matrix (octave_idx_type r, octave_idx_type c, double a = 1.0)
  {
    return instance_ok () ? instance->do_matrix (r, c, a) : Matrix ();
  }

  // Return an N-dimensional array of numbers from the sequence,
  // filled in column major order.
  static NDArray nd_array (const dim_vector& dims, double a = 1.0)
  {
    return instance_ok () ? instance->do_nd_array (dims, a) : NDArray ();
  }

  // Return an array of numbers from the sequence.
  static Array<double> vector (octave_idx_type n, double a = 1.0)
  {
    return instance_ok () ? instance->do_vector (n, a) : Array<double> ();
  }

private:

  static octave_rand *instance;

  enum
  {
    unknown_dist,
    uniform_dist,
    normal_dist,
    expon_dist,
    poisson_dist,
    gamma_dist
  };

  // Current distribution of random numbers.
  int current_distribution;

  // If TRUE, use old RANLIB generators.  Otherwise, use Mersenne
  // Twister generator.
  bool use_old_generators;

  // Saved MT states.
  std::map<int, ColumnVector> rand_states;

  // Return the current seed.
  double do_seed (void);

  // Set the seed.
  void do_seed (double s);

  // Return the current state.
  ColumnVector do_state (const std::string& d);

  // Set the current state/
  void do_state (const ColumnVector &s, const std::string& d);
  
  // Return the current distribution.
  std::string do_distribution (void);

  // Set the current distribution.  May be either "uniform" (the
  // default), "normal", "exponential", "poisson", or "gamma".
  void do_distribution (const std::string& d);

  void do_uniform_distribution (void);

  void do_normal_distribution (void);

  void do_exponential_distribution (void);

  void do_poisson_distribution (void);

  void do_gamma_distribution (void);

  // Return the next number from the sequence.
  double do_scalar (double a = 1.);

  // Return a matrix of numbers from the sequence, filled in column
  // major order.
  Matrix do_matrix (octave_idx_type r, octave_idx_type c, double a = 1.);

  // Return an N-dimensional array of numbers from the sequence,
  // filled in column major order.
  NDArray do_nd_array (const dim_vector& dims, double a = 1.);

  // Return an array of numbers from the sequence.
  Array<double> do_vector (octave_idx_type n, double a = 1.);

  // Some helper functions.

  void initialize_ranlib_generators (void);

  void initialize_mersenne_twister (void);

  ColumnVector get_internal_state (void);

  void save_state (void);

  int get_dist_id (const std::string& d);

  void set_internal_state (const ColumnVector& s);

  void switch_to_generator (int dist);

  void fill (octave_idx_type len, double *v, double a);
};

#endif

/*
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;;; mode: C++ ***
;;; End: ***
*/