@stdlib/random-iter-logistic
Create an iterator for generating pseudorandom numbers drawn from a logistic distribution.
Found 2034 results for stdmath
Create an iterator for generating pseudorandom numbers drawn from a logistic distribution.
Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Fill a strided array with pseudorandom numbers drawn from a Student's t distribution.
Exponential distribution cumulative distribution function (CDF).
Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Create an iterator which computes the multiplicative inverse of each iterated value.
Evaluate the ramp function for each element in a single-precision floating-point strided array.
Create an array containing pseudorandom numbers drawn from Kumaraswamy's double bounded distribution.
Create an array containing pseudorandom numbers drawn from a hypergeometric distribution.
Create an iterator which iteratively computes a cumulative range.
Create an iterator for generating pseudorandom numbers drawn from an exponential distribution.
Compute the squared absolute value for each element in a double-precision floating-point strided array according to a strided mask array.
Create an array containing pseudorandom numbers drawn from a Weibull distribution.
Create an iterator which generates a sequence of fourth powers.
Create a readable stream for generating pseudorandom numbers drawn from an Erlang distribution.
Create an iterator which performs element-wise multiplication of two or more iterators.
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
Create an iterator which evaluates Spence's function for each iterated value.
Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.
Create an iterator which generates a sequence of composite numbers.
Create an iterator which evaluates the natural exponential function for each iterated value.
Fill a strided array with pseudorandom numbers drawn from an arcsine distribution.
Create an array containing pseudorandom numbers drawn from a logistic distribution.
Create a factory function for filling strided arrays with pseudorandom values drawn from a binary PRNG.
Create an array containing pseudorandom numbers drawn from a beta distribution.
Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.
Create a factory function for filling strided arrays with pseudorandom values drawn from a ternary PRNG.
Create an iterator which evaluates the beta function.
8-bit unsigned integer mathematical constants.
Create an array containing pseudorandom numbers drawn from an exponential distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.
Convert each element in a single-precision floating-point strided array from degrees to radians.
Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.
Create an array containing pseudorandom numbers drawn from an arcsine distribution.
Create a readable stream for generating pseudorandom numbers drawn from an exponential distribution.
Create an array containing pseudorandom numbers drawn from an inverse gamma distribution.
Convert each element in a double-precision floating-point strided array from degrees to radians.
Compute the maximum value of all iterated values.
Create an iterator which evaluates the error function for each iterated value.
Create an iterator which evaluates the Bessel function of the first kind of order zero for each iterated value.
Math operator iterators.
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
Compute the reciprocal square root for each element in a double-precision floating-point strided array.
Fill a strided array with pseudorandom numbers drawn from a Weibull distribution.
Create an array containing pseudorandom numbers drawn from a geometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.
Create an iterator which iteratively computes a moving arithmetic mean of absolute values.
Create an iterator which iteratively computes a moving sum of squared absolute values.
Create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.
Fill a strided array with pseudorandom numbers drawn from a Poisson distribution.
Create an array containing pseudorandom numbers drawn from a Student's t-distribution.
Create an array containing pseudorandom numbers drawn from a beta prime distribution.
Fill a strided array with pseudorandom numbers drawn from a raised cosine distribution.
Create a readable stream for generating pseudorandom numbers drawn from a discrete uniform distribution.
Compute the absolute value for each element in a single-precision floating-point strided array.
Create an iterator which computes the base `b` logarithm.
Create a readable stream for generating pseudorandom numbers drawn from an Erlang distribution.
Create an iterator for generating pseudorandom numbers drawn from a Poisson distribution.
Create an iterator for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Fill a strided array with pseudorandom numbers drawn from a beta distribution.
Fill a strided array with pseudorandom numbers drawn from an exponential distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.
Create an iterator for generating pseudorandom numbers drawn from a geometric distribution.
Statistical function iterators.
Create an iterator which evaluates the natural logarithm for each iterated value.
Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.
Create an iterator which computes the complete elliptic integral of the first kind for each iterated value.
Evaluate the ramp function for each element in a strided array.
Generate an array of linearly spaced dates.
Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.
Convert each element in a single-precision floating-point strided array from degrees to radians according to a strided mask array.
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant and add the result to a single-precision complex floating-point vector.
Compute the cube root of each element retrieved from a double-precision floating-point strided array via a callback function.
Create an iterator which computes the complete elliptic integral of the second kind for each iterated value.
Element-wise addition of two strided arrays via a callback function.
Fill a strided array with pseudorandom numbers drawn from a gamma distribution.
Create an iterator for generating pseudorandom numbers drawn from a gamma distribution.
Math iterators for generating sequences.
Create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.
Create a readable stream for generating pseudorandom numbers drawn from a negative binomial distribution.
Create a readable stream for generating pseudorandom numbers drawn from a geometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.
Create an iterator which evaluates the Bessel function of the second kind of order zero for each iterated value.
Create an array containing pseudorandom numbers drawn from a chi distribution.
Compute the mid-range of all iterated values.
Compute the sum of absolute values for all iterated values.
Create an iterator which iteratively computes a cumulative maximum absolute value.
Create an iterator which generates a sequence of squared triangular numbers.
Create an array containing pseudorandom numbers drawn from a raised cosine distribution.
Create an iterator which computes the squared absolute value of each iterated value.
Create an iterator for generating pseudorandom numbers drawn from a Fréchet distribution.
Fill a strided array with pseudorandom numbers drawn from a geometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.
Convert each element in a double-precision floating-point strided array from degrees to radians according to a strided mask array.
Create an iterator which generates a sequence of fifth powers.
Create an iterator for generating pseudorandom numbers drawn from a Rayleigh distribution.
Evaluate the ramp function for each element in a double-precision floating-point strided array.
Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Fill a strided array with pseudorandom numbers drawn from a Bernoulli distribution.
Create an iterator which converts an angle from degrees to radians for each iterated value.
16-bit unsigned integer mathematical constants.
16-bit signed integer mathematical constants.
Round each element in a strided array toward negative infinity.
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.
Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.
Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.
Special math functions.
Create an array containing pseudorandom numbers drawn from a Poisson distribution.
Create an iterator which evaluates the Bessel function of the second kind of order one for each iterated value.
Create an iterator which invokes a ternary function accepting numeric arguments for each iterated value.
32-bit unsigned integer mathematical constants.
Math iterators.
Create a readable stream for generating pseudorandom numbers drawn from a discrete uniform distribution.