📄 r8mat_normal.m
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function [ r, seed ] = r8mat_normal ( m, n, a, b, seed )%% R8MAT_NORMAL returns a scaled pseudonormal R8MAT.%% Modified:%% 17 July 2006%% Author:%% John Burkardt%% Reference:%% Paul Bratley, Bennett Fox, Linus Schrage,% A Guide to Simulation,% Springer Verlag, pages 201-202, 1983.%% Bennett Fox,% Algorithm 647:% Implementation and Relative Efficiency of Quasirandom% Sequence Generators,% ACM Transactions on Mathematical Software,% Volume 12, Number 4, pages 362-376, 1986.%% Peter Lewis, Allen Goodman, James Miller,% A Pseudo-Random Number Generator for the System/360,% IBM Systems Journal,% Volume 8, pages 136-143, 1969.%% Parameters:%% Input, integer M, N, the number of rows and columns in the array.%% Input, real A, B, the mean and standard deviation.%% Input/output, integer SEED, the "seed" value, which should NOT be 0.% On output, SEED has been updated.%% Output, real R(M,N), the array of pseudonormal values.% for j = 1 : n [ v, seed ] = r8vec_normal ( m, a, b, seed ); r(1:m,j), seed ] = v(1:m)'; end
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