#!/usr/bin/env python def r4mat_uniform_01 ( m, n, seed ): #*****************************************************************************80 # ## R4MAT_UNIFORM_01 returns a unit pseudorandom R4MAT. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 08 April 2013 # # 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, integer M, N, the number of rows and columns in the array. # # Input, integer SEED, the integer "seed" used to generate # the output random number. # # Output, real R(M,N), an array of random values between 0 and 1. # # Output, integer SEED, the updated seed. This would # normally be used as the input seed on the next call. # import numpy from sys import exit i4_huge = 2147483647 if ( seed < 0 ): seed = seed + i4_huge if ( seed == 0 ): print '' print 'R4MAT_UNIFORM_01 - Fatal error!' print ' Input SEED = 0!' exit ( 'R4MAT_UNIFORM_01 - Fatal error!' ) r = numpy.zeros ( ( m, n ) ) for j in range ( 0, n ): for i in range ( 0, m ): k = ( seed // 127773 ) seed = 16807 * ( seed - k * 127773 ) - k * 2836 seed = ( seed % i4_huge ) if ( seed < 0 ): seed = seed + i4_huge r[i][j] = seed * 4.656612875E-10 return r, seed def r4mat_uniform_01_test ( ): #*****************************************************************************80 # ## R4MAT_UNIFORM_01_TEST tests R4MAT_UNIFORM_01. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 31 October 2014 # # Author: # # John Burkardt # from r4mat_print import r4mat_print import numpy as np m = 5 n = 4 seed = 123456789 print '' print 'R4MAT_UNIFORM_01_TEST' print ' R4MAT_UNIFORM_01 computes a random R4MAT.' print '' print ' 0 <= X <= 1' print ' Initial seed is %d' % ( seed ) v, seed = r4mat_uniform_01 ( m, n, seed ) r4mat_print ( m, n, v, ' Random R4MAT:' ) print '' print 'R4MAT_UNIFORM_01_TEST:' print ' Normal end of execution.' return if ( __name__ == '__main__' ): from timestamp import timestamp timestamp ( ) r4mat_uniform_01_test ( ) timestamp ( )