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depcomp

#! /bin/sh # depcomp - compile a program generating dependencies as side-effects # Copyright 1999, 2000 Free Software Foundation, Inc. # This program is free software; you can redistribute it and/or
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texi qrng.texi

@cindex quasi-random sequences @cindex low discrepancy sequences @cindex Sobol sequence @cindex Niederreiter sequence This chapter describes functions for generating quasi-random sequences in arbitrar
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depcomp

#! /bin/sh # depcomp - compile a program generating dependencies as side-effects # Copyright 1999, 2000 Free Software Foundation, Inc. # This program is free software; you can redistribute it and/or
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www.eeworm.com/read/101155/15849530

depcomp

#! /bin/sh # depcomp - compile a program generating dependencies as side-effects # Copyright 1999, 2000 Free Software Foundation, Inc. # This program is free software; you can redistribute it and/or
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www.eeworm.com/read/191802/8421695

depcomp

#! /bin/sh # depcomp - compile a program generating dependencies as side-effects # Copyright 1999, 2000, 2003 Free Software Foundation, Inc. # This program is free software; you can redistribute it
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www.eeworm.com/read/389692/8507750

m nwfisdlg.m

function mfdlg(action) %MFDLG Create dialog for generating new fis with data. % MFDLG(action,fisMatrix,varType,varIndex) will open a dialog % box for fisMatrix using the default MF type 'trimf'
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m trndtdlg.m

function trndtdlg(action) %MFDLG Create dialog for generating new fis with data. % MFDLG(action,fisMatrix,varType,varIndex) will open a dialog % box for fisMatrix using the default MF type 'tri
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depcomp

#! /bin/sh # depcomp - compile a program generating dependencies as side-effects # Copyright 1999, 2000, 2003 Free Software Foundation, Inc. # This program is free software; you can redistribute it
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www.eeworm.com/read/388876/8569748

depcomp

#! /bin/sh # depcomp - compile a program generating dependencies as side-effects # Copyright 1999, 2000, 2003 Free Software Foundation, Inc. # This program is free software; you can redistribute it
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www.eeworm.com/read/286985/8733792

m km_demo.m

% Demo for the kmeans algorithm % First, generate sample data % We will test with 4 clusters in 3 dimensions, % by generating random data with gaussian density, variance 1, % with means (0,0,0)
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