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www.eeworm.com/read/453496/7418494

c puttext.c

#include #include #include #include #include #include void main(void) { char buffer[128]; int row, column; clr
www.eeworm.com/read/452774/7433151

dat rand_01_one.dat

random = 0.571930 random = 0.383469 random = 0.472412 random = 0.073380 random = 0.859467 random = 0.696152 random = 0.410828 random = 0.640457 random = 0.069855 random = 0.623093
www.eeworm.com/read/451329/7467277

c puttext.c

#include #include #include #include #include #include void main(void) { char buffer[128]; int row, column; clr
www.eeworm.com/read/450608/7480375

m prex_matchlab.m

%PREX_MATCHLAB PRTools example on K-MEANS clustering and matching labels % % Illustrates the use of K-MEANS clustering and the match of labels. help prex_matchlab echo on rand('state',5); %
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c puttext.c

#include #include #include #include #include #include void main(void) { char buffer[128]; int row, column; clr
www.eeworm.com/read/449790/7496391

readme

This code implements the random-number generator described in the NAS Parallel Benchmark document RNR Technical Report RNR-94-007. The code is "embarrassingly" parallel in that no communication is req
www.eeworm.com/read/449504/7501960

m wish_rnd.m

function w = wish_rnd(sigma,v) % PURPOSE: generate random wishart matrix %------------------------------------------------ % USAGE: w = wish_rnd(sigma,n) % Where: sigma = symmetric pds input m
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m fdis_rnd.m

function x = fdis_rnd(n,a,b) % PURPOSE: returns random draws from the F(a,b) distribution %--------------------------------------------------- % USAGE: rnd = fdis_rnd(n,a,b) % where: n = size of v
www.eeworm.com/read/449504/7502038

m tdis_rnd.m

function t = tdis_rnd (n,df) % PURPOSE: returns random draws from the t(n) distribution %--------------------------------------------------- % USAGE: rnd = tdis_rnd(n,df) % where: n = size of vect
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