Ziggurat Method for Generating Random Variables, “Ziggurat technique” to transform from a uniform to a normal distribution. The arguments are handled the same as the arguments for rand.īy default, randn uses the Marsaglia and Tsang Return a matrix with normally distributed random elements having zero mean Randn ( n) randn ( m, n, …) randn () v = randn ("state") randn ("state", v) randn ("state", "reset") v = randn ("seed") randn ("seed", v) randn ("seed", "reset") randn (…, "single") randn (…, "double") Integer ( imax) and range ( imax - imin) to the value Uses class "double" to represent numbers. Implementation Note: randi relies internally on rand which The following example returns 150 integers in the range 1–10. The optional argument class will return a matrix of the requested Lower and upper bound in which case the returned integers will be on the The integer range may optionally be described by a two element matrix with a Two or more arguments will return a multi-dimensional matrix If oneĪrgument n is specified then a square matrix ( n x n) When noĪrguments are specified a single random integer is returned. Return random integers in the range 1: imax.Īdditional arguments determine the shape of the return matrix. Randi ( imax) randi ( imax, n) randi ( imax, m, n, …) randi (, …) randi (…, " class") The class of the value returned can be controlled by a trailing The state or seed of the generator can be reset to a new random value using "state" should be used to reset the state of the rand. Rand to once again use the new generators, the keyword Rand to use the old generators, only setting the seed will. However, it should be noted that querying the seed will not cause Keyword "seed" is used to specify that the old generators should Same random sequences as produced by the old generators. However, in some circumstances it might be desirable to obtain the Old generator, and produces random numbers with a significantly longer cycle The new generator is used by default as it is significantly faster than the Older versions of Octave used a different random number generator. Returned values together, otherwise the generator state can be learned after 1,ĭo not use for cryptography without securely hashing several Mersenne Twister: A 623-dimensionally equidistributed uniformĪCM Trans. To compute the pseudo-random sequence, rand uses the Mersenne Vector in Octave’s startup files (see Startup Files). To obtainīehavior comparable to MATLAB, initialize with a deterministic state Note that this differs from MATLAB, whichĪlways initializes the state to the same state at startup. This new state will be a hash based on the value ofīy default, the generator is initialized from /dev/urandom if it isĪvailable, otherwise from CPU time, wall clock time, and the currentįraction of a second. You may also initialize the state vector from an arbitrary vector of length You can query the state of the random number generator using the form The arguments are handled the same as the arguments for eye. Return a matrix with random elements uniformly distributed on the Rand ( n) rand ( m, n, …) rand () v = rand ("state") rand ("state", v) rand ("state", "reset") v = rand ("seed") rand ("seed", v) rand ("seed", "reset") rand (…, "single") rand (…, "double") In order to be compatible with the corresponding MATLAB function.Īlso for compatibility with MATLAB, return the right-hand side of Return a row vector with n elements logarithmically spaced from Logspace ( a, b) logspace ( a, b, n) logspace ( a, pi, n) Only a single value ( n = 1) is requested. Linspace transforms them to column vectors and returns a matrix whereĮach row is an independent sequence betweenįor compatibility with MATLAB, return the second argument ( end) when If one, or both, inputs are vectors, then The linspace function returns a row vector when both start andĮnd are scalars. Points is not specified, a value of 100 is used. If start is greater thanĮnd, the elements are stored in decreasing order. If the number of elements is greater than one, then the endpoints startĪnd end are always included in the range. Return a row vector with n linearly spaced elements between start Linspace ( start, end) linspace ( start, end, n) The functions linspace and logspace make it very easy toĬreate vectors with evenly or logarithmically spaced elements.
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