@stdlib/random-strided-minstd-shuffle
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Fill a strided array with pseudorandom numbers drawn from a normal distribution.
Fill a strided array with pseudorandom numbers drawn from a Poisson distribution.
Fill a strided array with uniformly distributed pseudorandom numbers between 0 and 1.
Fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution.
Fill a strided array with pseudorandom numbers drawn from a Student's t distribution.
Pseudorandom number generator strided array function tools.
Apply a function to each element in an array and assign the result to an element in an output array.
Perform a single-pass map-reduce operation against each element in an array and return the accumulated result.
Perform a single-pass map-reduce operation against each element in an array while iterating from right to left and return the accumulated result.
Apply a function to each element in an array and assign the result to an element in an output array, iterating from right to left.
Apply a function to elements in two input arrays and assign the results to an output array.
Apply a function to elements in two input arrays while iterating from right to left and assign the results to an output array.
Test if a value is a 1-dimensional ndarray-like object containing single-precision floating-point numbers.
Test if a value is a 1-dimensional ndarray-like object containing double-precision floating-point numbers.
Base (i.e., lower-level) basic linear algebra subprograms (BLAS).
Base BLAS assertion utilities.
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.
Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.