s = rng; r = random('Poisson',5) r = 5 Restore the state of the random number generator to s, and then create a new random number. The value is the same as before. rng(s); r1 = random('Poisson',5) r1 = 5 Create
29、esgeometricrandomnumberswithprobabilityparameterP.Pcanbeavector,amatrix,oramultidimensionalarray.ThesizeofRisthesizeofP.Thegeometricdistributionisusefulwhenyouwanttomodelthenumberofsuccessivefailuresprecedingasuccess,wheretheprobabilityofsuccessinanygiventrialistheconstantP.TheparametersinPmustliein 30、theinterval...
Complex Number Support: Yes s— Random number stream RandStream object Random number stream, specified as a RandStream object. Example: s = RandStream("dsfmt19937"); randn(s,[3 1]) Output Arguments collapse all X— Output array scalar | vector | matrix | multidimensional array Output array...
Complex Number Support:Yes Random number stream, specified as aRandStreamobject. Example:s = RandStream("dsfmt19937"); rand(s,[3 1]) Output Arguments collapse all Output array, returned as a scalar, vector, matrix, or multidimensional array. ...
R = geornd(P) generates geometric random numbers with probability parameter P. P can be a vector, a matrix, or a multidimensional array. The size of R is the size of P. The geometric distribution is useful when you want to model the number of successive failures preceding a success, wher...
Output array, returned as a scalar, vector, matrix, or multidimensional array. More About collapse all Pseudorandom Number Generator The underlying number generator for rand is a pseudorandom number generator, which creates a deterministic sequence of numbers that appear random. These numbers are pred...
In this case, the random number generator is using the Mersenne Twister algorithm with seed 0. Get s = rng s = struct with fields: Type: 'twister' Seed: 0 State: [625×1 uint32] Create a 4-by-4 matrix of uniformly distributed random numbers between 0 and 1. Get r = rand(4...
In this case, the random number generator is using the Mersenne Twister algorithm with seed 0. Get s = rng s = struct with fields: Type: 'twister' Seed: 0 State: [625×1 uint32] Create a 4-by-4 matrix of uniformly distributed random numbers between 0 and 1. Get r = rand(4...
Exponential random numbers, returned as a nonnegative scalar value or an array of nonnegative scalar values with the dimensions specified by sz1,...,szN or sz. Each element in r is the random number generated from the distribution specified by the corresponding element in mu. ...
In this case, the random number generator is using the Mersenne Twister algorithm with seed 0. Get s = rng s = struct with fields: Type: 'twister' Seed: 0 State: [625×1 uint32] Create a 4-by-4 matrix of uniformly distributed random numbers between 0 and 1. Get r = rand(4...