Pseudorandom number generator strided array functions.
JavaScript
1
0
Apache License 2.0
stdlib-js/random-strided provides high-performance functions to fill strided arrays with pseudorandom numbers from various statistical distributions (e.g., normal, uniform, exponential). It is designed for developers and researchers performing numerical and scientific computing in JavaScript or Node.js, particularly when working with non-contiguous memory layouts for efficiency.
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Fill a strided array with pseudorandom numbers drawn from an arcsine distribution.
Fill a strided array with pseudorandom numbers drawn from a Bernoulli distribution.
Fill a strided array with pseudorandom numbers drawn from a beta distribution.
Fill a strided array with pseudorandom numbers drawn from a beta prime distribution.
Fill a strided array with pseudorandom numbers drawn from a chi distribution.
Fill a strided array with pseudorandom numbers drawn from a chi-square distribution.
Fill a strided array with pseudorandom numbers drawn from a raised cosine distribution.
Fill a strided array with pseudorandom numbers drawn from a discrete uniform distribution.
Fill a strided array with pseudorandom numbers drawn from an exponential distribution.
Fill a strided array with pseudorandom numbers drawn from a gamma distribution.
Fill a strided array with pseudorandom numbers drawn from a geometric distribution.
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
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.
Fill a strided array with pseudorandom numbers drawn from a continuous uniform distribution.
Fill a strided array with pseudorandom numbers drawn from a Weibull distribution.
Define a read-only property.
Test if an array-like object supports the accessor (get/set) protocol.
Return the last element of an array-like object.
Generate a linearly spaced numeric array.
Convert an array-like object to a minimal array-like object supporting the accessor protocol.
Generate a linearly spaced numeric array whose elements increment by 1 starting from zero.
Create a filled array.
Create a filled array according to a provided callback function.
Float64Array.
Generate a linearly spaced numeric array whose elements increment by 1 starting from zero.
Create a zero-filled array having a specified length.
Test if a value is a function.
Test if an object has a specified method name, either own or inherited.
Test if a value is a plain object.
Test if a value is a Uint32Array.
Output a message to the debugger console.
Insert array element values into a format string and print the result.
Test whether a path exists on the filesystem.
Read the entire contents of a directory.
Read a file as JSON.
Resolve a path by walking parent directories.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Exponential function.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Arcsine distributed pseudorandom numbers.
Bernoulli distributed pseudorandom numbers.
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