132 lines
5 KiB
C
132 lines
5 KiB
C
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//----------------------------------------------------------------------
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// File: rand.h
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// Programmer: Sunil Arya and David Mount
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// Description: Basic include file for random point generators
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// Last modified: 08/04/06 (Version 1.1.1)
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//----------------------------------------------------------------------
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// Copyright (c) 1997-2005 University of Maryland and Sunil Arya and
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// David Mount. All Rights Reserved.
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//
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// This software and related documentation is part of the Approximate
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// Nearest Neighbor Library (ANN). This software is provided under
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// the provisions of the Lesser GNU Public License (LGPL). See the
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// file ../ReadMe.txt for further information.
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//
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// The University of Maryland (U.M.) and the authors make no
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// representations about the suitability or fitness of this software for
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// any purpose. It is provided "as is" without express or implied
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// warranty.
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//----------------------------------------------------------------------
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// History:
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// Revision 0.1 03/04/98
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// Initial release
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// Revision 1.0 04/01/05
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// Added annClusOrthFlats distribution
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// Changed procedure names to avoid namespace conflicts
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// Added annClusFlats distribution
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// Revision 1.1.1 08/04/06
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// Added planted distribution
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//----------------------------------------------------------------------
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#ifndef rand_H
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#define rand_H
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//----------------------------------------------------------------------
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// Basic includes
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//----------------------------------------------------------------------
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#include <cstdlib> // standard includes (rand/random)
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#include <cmath> // math routines
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#include <ANN/ANN.h> // basic ANN includes
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//----------------------------------------------------------------------
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// Although random/srandom is a more reliable random number generator,
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// many systems do not have it. If it is not available, set the
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// preprocessor symbol ANN_NO_RANDOM, and this will substitute the use
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// of rand/srand for them.
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//----------------------------------------------------------------------
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#ifdef ANN_NO_RANDOM // for systems not having random()
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#define ANN_RAND rand
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#define ANN_SRAND srand
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#define ANN_RAND_MAX RAND_MAX
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#else // otherwise use rand()
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#define ANN_RAND random
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#define ANN_SRAND srandom
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#define ANN_RAND_MAX 2147483647UL // 2**{31} - 1
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// #define ANN_RAND_MAX 1073741824UL // 2**{30}
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#endif
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//----------------------------------------------------------------------
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// Globals
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//----------------------------------------------------------------------
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extern int annIdum; // random number seed
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//----------------------------------------------------------------------
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// External entry points
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//----------------------------------------------------------------------
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void annUniformPts( // uniform distribution
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim); // dimension
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void annGaussPts( // Gaussian distribution
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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double std_dev); // standard deviation
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void annCoGaussPts( // correlated-Gaussian distribution
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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double correlation); // correlation
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void annLaplacePts( // Laplacian distribution
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim); // dimension
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void annCoLaplacePts( // correlated-Laplacian distribution
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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double correlation); // correlation
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void annClusGaussPts( // clustered-Gaussian distribution
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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int n_clus, // number of colors (clusters)
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ANNbool new_clust, // generate new cluster centers
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double std_dev); // standard deviation within clusters
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void annClusOrthFlats( // clustered along orthogonal flats
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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int n_clus, // number of colors
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ANNbool new_clust, // generate new clusters.
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double std_dev, // standard deviation within clusters
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int max_dim); // maximum dimension of the flats
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void annClusEllipsoids( // clustered around ellipsoids
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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int n_clus, // number of colors
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ANNbool new_clust, // generate new clusters.
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double std_dev_small, // small standard deviation
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double std_dev_lo, // low standard deviation for ellipses
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double std_dev_hi, // high standard deviation for ellipses
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int max_dim); // maximum dimension of the flats
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void annPlanted( // planted nearest neighbors
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ANNpointArray pa, // point array (modified)
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int n, // number of points
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int dim, // dimension
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ANNpointArray src, // source point array
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int n_src, // source size
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double std_dev); // standard deviation about source
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#endif
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