ndarray-base-unary-reduce-strided1d-assign-struct
Perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.
@stdlib/random-streams-randi
Create a readable stream for generating pseudorandom numbers having integer values.
@stdlib/random-array-minstd-shuffle
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
stats-strided-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/random-array-uniform
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
stats-strided-dminsorted
Calculate the minimum value of a sorted double-precision floating-point strided array.
@stdlib/math-base-special-lnf
Evaluate the natural logarithm of a single-precision floating-point number.
@stdlib/blas-base-scnrm2
Compute the L2-norm of a complex single-precision floating-point vector.
stats-strided-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/complex-float32-base-mul
Multiply two single-precision complex floating-point numbers.
@stdlib/complex-float32-base-add
Add two single-precision complex floating-point numbers.
ndarray-vector-int8
Create a signed 8-bit integer vector (i.e., a one-dimensional ndarray).
math-array-special-abs
Compute the absolute value for each element in an input array.
object-some-in-by
Test whether an object contains at least n properties (own and inherited) which pass a test implemented by a predicate function.
@stdlib/slice-base-str2multislice
Parse a string-serialized MultiSlice object.
@stdlib/complex-float64-base-assert-is-same-value
Test whether two double-precision complex floating-point numbers are the same value.
stats-array-stdevch
Calculate the standard deviation of an array using a one-pass trial mean algorithm.
stats-base-dists-bradford-cdf
Bradford distribution cumulative distribution function (CDF).
stats-base-ztest-one-sample-results-to-string
Serialize a one-sample Z-test results object as a formatted string.
@stdlib/array-base-map3d
Apply a function to elements in a three-dimensional nested input array and assign results to elements in a new three-dimensional nested output array.
stats-array-variancetk
Calculate the variance of an array using a one-pass textbook algorithm.
blas-ext-base-wasm-dnanasumors
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
@stdlib/stats-base-dists-bernoulli-stdev
Bernoulli distribution standard deviation.
@stdlib/array-base-broadcasted-binary4d
Apply a binary callback to elements in broadcasted input arrays and assign results to elements in a four-dimensional nested output array.
@stdlib/math-base-special-secd
Compute the secant of an angle measured in degrees.
@stdlib/strided-base-reinterpret-complex
Reinterpret a complex-valued floating-point array as a real-valued floating-point array having the same precision.
@stdlib/array-base-quaternary2d
Apply a quaternary callback to elements in four two-dimensional nested input arrays and assign results to elements in a two-dimensional nested output array.
@stdlib/array-base-map4d
Apply a function to elements in a four-dimensional nested input array and assign results to elements in a new four-dimensional nested output array.
stats-strided-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
stats-strided-dsmeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
math-base-special-ahaversinf
Compute the inverse half-value versed sine of a single-precision floating-point number.
@stdlib/math-base-special-acotf
Compute the inverse cotangent of a single-precision floating-point number.
@stdlib/assert-is-complex64vector-like
Test if a value is a 1-dimensional ndarray-like object containing single-precision complex floating-point numbers.
@stdlib/array-base-unary4d
Apply a unary callback to elements in a four-dimensional nested input array and assign results to elements in a four-dimensional nested output array.
@stdlib/random-strided-randu
Fill a strided array with uniformly distributed pseudorandom numbers between 0 and 1.
@stdlib/random-strided-geometric
Fill a strided array with pseudorandom numbers drawn from a geometric distribution.
@stdlib/blas-base-zcopy
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
@stdlib/random-array-tools-binary
Constructor for creating arrays filled with pseudorandom values drawn from a binary PRNG.
stats-strided-dcuminabs
Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
stats-strided-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
number-float64-base-add5
Compute the sum of five double-precision floating-point numbers.
stats-strided-dsmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.
stats-strided-dmskrange
Calculate the range of a double-precision floating-point strided array according to a mask.
blas-ext-base-ndarray-gcusum
Compute the cumulative sum of a one-dimensional ndarray.
@stdlib/ndarray-mostly-safe-casts
Return a list of ndarray data types to which a provided ndarray data type can be safely cast and, for floating-point data types, can be downcast.
blas-base-wasm-dsdot
Compute the dot product of `x` and `y` with extended accumulation and result.
stats-strided-nanmaxabs
Calculate the maximum absolute value of a strided array, ignoring NaN values.
@stdlib/constants-complex64-nan
Canonical single-precision complex floating-point NaN.
@stdlib/complex-float64-base-mul
Multiply two double-precision complex floating-point numbers.