@stdlib/constants-float64
Double-precision floating-point mathematical constants.
@stdlib/math-base-utils-float64-epsilon-difference
Compute the relative difference of two real numbers in units of double-precision floating-point epsilon.
@stdlib/math-iter-special-acosh
Create an iterator which computes the hyperbolic arccosine of each iterated value.
@stdlib/strided-napi-smap2
C API for registering a Node-API module exporting a strided array interface for applying a binary callback accepting and returning single-precision floating-point numbers to corresponding elements in two single-precision floating-point strided input arrays and assigning results to elements in a single-precision floating-point strided output array.
@stdlib/math-strided-special-smskramp
Evaluate the ramp function for each element in a single-precision floating-point strided array according to a strided mask array.
@stdlib/stats-base-drange
Calculate the range of a double-precision floating-point strided array.
@stdlib/stats-base-snanmin
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/random-iter-laplace
Create an iterator for generating pseudorandom numbers drawn from a Laplace distribution.
@stdlib/math-iter-special-acovercos
Create an iterator which computes the inverse coversed cosine of each iterated value.
@stdlib/random-streams-laplace
Create a readable stream for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.
@stdlib/stats-iter-cumaxabs
Create an iterator which iteratively computes a cumulative maximum absolute value.
@stdlib/random-streams-negative-binomial
Create a readable stream for generating pseudorandom numbers drawn from a negative binomial distribution.
@stdlib/strided-napi-dmskmap2
C API for registering a Node-API module exporting a strided array interface for applying a binary callback to double-precision floating-point strided input arrays according to a strided mask array and assigning results to elements in a double-precision floating-point strided output array.
@stdlib/utils-some-by
Test whether a collection contains at least `n` elements which pass a test implemented by a predicate function.
@stdlib/stats-base-nanmax-by
Calculate the maximum value of a strided array via a callback function, ignoring NaN values.
@stdlib/blas-ext-base-scusumors
Calculate the cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation.
@stdlib/utils-inherited-enumerable-properties
Return an array of an object's inherited enumerable property names and symbols.
@stdlib/stats-base-nanmskmin
Calculate the minimum value of a strided array according to a mask, ignoring NaN values.
@stdlib/math-strided-special-binet-by
Evaluate Binet's formula extended to real numbers for each element retrieved from an input strided array via a callback function.
@stdlib/stats-base-dmeanors
Calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.
@stdlib/stats-base-dvariance
Calculate the variance of a double-precision floating-point strided array.
@stdlib/math-iter-special-aversin
Create an iterator which computes the inverse versed sine of each iterated value.
@stdlib/math-iter-special-avercos
Create an iterator which computes the inverse versed cosine of each iterated value.
@stdlib/stats-base-smax
Calculate the maximum value of a single-precision floating-point strided array.
@stdlib/utils-inmap-right
Invoke a function for each element in a collection and update the collection in-place, iterating from right to left.
@stdlib/math-iter-special-exp10
Create an iterator which evaluates the base 10 exponential function for each iterated value.
@stdlib/stats-base-dnanmax
Calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/utils-enumerable-property-symbols
Return an array of an object's own enumerable symbol properties.
@stdlib/stats-base-dminabs
Calculate the minimum absolute value of a double-precision floating-point strided array.
@stdlib/random-iter-randi
Create an iterator for generating pseudorandom numbers having integer values.
@stdlib/random-iter-pareto-type1
Create an iterator for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
@stdlib/math-strided-special-dmskabs
Compute the absolute value for each element in a double-precision floating-point strided array according to a strided mask array.
@stdlib/stats-base-dmaxsorted
Calculate the maximum value of a sorted double-precision floating-point strided array.
@stdlib/random-strided-betaprime
Fill a strided array with pseudorandom numbers drawn from a beta prime distribution.
@stdlib/stats-base-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/math-iter-special-tanh
Create an iterator which evaluates the hyperbolic tangent for each iterated value.
@stdlib/array-ones-like
Create an array filled with ones and having the same length and data type as a provided array.
@stdlib/random-streams-erlang
Create a readable stream for generating pseudorandom numbers drawn from an Erlang distribution.
@stdlib/random-iter-t
Create an iterator for generating pseudorandom numbers drawn from a Student's t distribution.
stats-iter-mmax
Create an iterator which iteratively computes a moving maximum value.
@stdlib/stats-base-dstdev
Calculate the standard deviation of a double-precision floating-point strided array.
@stdlib/random-streams-rayleigh
Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.
@stdlib/math-base-ops-imuldw
Compute the double word product of two signed 32-bit integers.
@stdlib/math-iter-special-deg2rad
Create an iterator which converts an angle from degrees to radians for each iterated value.
@stdlib/math-iter-special-exp
Create an iterator which evaluates the natural exponential function for each iterated value.
@stdlib/math-iter-sequences-factorials
Create an iterator which generates a sequence of factorials.
random-array-lognormal
Create an array containing pseudorandom numbers drawn from a lognormal distribution.