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cowboy823

2014.03.08

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%RANDI Pseudorandom integers from a uniform discrete distribution.

% R = RANDI(IMAX,N) returns an N-by-N matrix containing pseudorandom

% integer values drawn from the discrete uniform distribution on 1:IMAX.

% RANDI(IMAX,M,N) or RANDI(IMAX,[M,N]) returns an M-by-N matrix.

% RANDI(IMAX,M,N,P,...) or RANDI(IMAX,[M,N,P,...]) returns an

% M-by-N-by-P-by-... array. RANDI(IMAX) returns a scalar.

% RANDI(IMAX,SIZE(A)) returns an array the same size as A.

%

% R = RANDI([IMIN,IMAX],...) returns an array containing integer

% values drawn from the discrete uniform distribution on IMIN:IMAX.

%

% Note: The size inputs M, N, P, ... should be nonnegative integers.

% Negative integers are treated as 0.

%

% R = RANDI(..., CLASSNAME) returns an array of integer values of class

% CLASSNAME.

%

% The sequence of numbers produced by RANDI is determined by the internal

% state of the uniform pseudorandom number generator that underlies RAND,

% RANDI, and RANDN. RANDI uses one uniform value from that default

% stream to generate each integer value. Control the default stream using

% its properties and methods. See RANDSTREAM for details about the

% default stream.

%

% Resetting the default stream to the same fixed state allows computations

% to be repeated. Setting the stream to different states leads to unique

% computations, however, it does not improve any statistical properties.

% Since MATLAB uses the same state each time it starts up, RAND, RANDN, and

% RANDI will generate the same sequence of numbers in each session unless

% the state is changed.

%

% Examples:

%

% Generate integer values from the uniform distribution on the set 1:10.

% r = randi(10,100,1);

%

% Generate an integer array of integers drawn uniformly from 1:10.

% r = randi(10,100,1,'uint32');

%

% Generate integer values drawn uniformly from -10:10.

% r = randi([-10 10],100,1);

%

% Save the current state of the default stream, generate 5 integer

% values, restore the state, and repeat the sequence.

% defaultStream = RandStream.getDefaultStream;

% savedState = defaultStream.State;

% i1 = randi(10,1,5)

% defaultStream.State = savedState;

% i2 = randi(10,1,5) % contains exactly the same values as i1

%

% Replace the default stream with a stream whose seed is based on CLOCK, so

% RANDI will return different values in different MATLAB sessions. NOTE: It

% is usually not desirable to do this more than once per MATLAB session.

% RandStream.setDefaultStream(RandStream('mt19937ar','seed',sum(100*clock)));

% randi(10,1,5)

%

% See also RAND, RANDN, RANDSTREAM, RANDSTREAM/RANDI, RANDSTREAM.GETDEFAULTSTREAM.

% Copyright 2008 The MathWorks, Inc.

% $Revision: 1.1.6.2 $ $Date: 2008/09/13 06:57:04 $

% Built-in function.

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