stats-array-nanmeanwd
Calculate the arithmetic mean of an array, ignoring NaN values and using Welford's algorithm.
@stdlib/array-base-binary2d
Apply a binary callback to elements in two-dimensional nested input arrays and assign results to elements in a two-dimensional nested output array.
stats-strided-snanmin
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
blas-ext-base-wasm-dnansumpw
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/random-array-gamma
Create an array containing pseudorandom numbers drawn from a gamma distribution.
stats-strided-nanmaxabs
Calculate the maximum absolute value of a strided array, ignoring NaN values.
ndarray-base-promote-dtypes
Resolve the data type that results from applying promotion rules to a provided list of data types.
@stdlib/ndarray-maybe-broadcast-array
Broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
stats-strided-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
random-tools-binary
Constructor for creating ndarrays filled with pseudorandom values drawn from a binary PRNG.
stats-strided-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-strided-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
stats-array-variancetk
Calculate the variance of an array using a one-pass textbook algorithm.
stats-strided-nanmax
Calculate the maximum value of a strided array, ignoring NaN values.
stats-strided-dsnanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
ndarray-base-unary-strided1d-dispatch
Constructor for applying a strided function to an input ndarray.
array-base-without
Return a new array containing every element from an input array, except for the element at a specified index.
stats-array-nanrange-by
Calculate the range of an array via a callback function, ignoring NaN values.
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.
ndarray-base-unary-strided1d
Apply a one-dimensional strided array function to a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.
stats-strided-smin
Calculate the minimum value of a single-precision floating-point strided array.
math-array-tools-unary
Constructor for applying a unary function to each element in an input array.
stats-strided-dztest
Compute a one-sample Z-test for a double-precision floating-point strided array.
@stdlib/array-base-map5d
Apply a function to elements in a five-dimensional nested input array and assign results to elements in a new five-dimensional nested output array.
array-base-broadcasted-quaternary5d
Apply a quaternary callback to elements in four broadcasted input arrays and assign results to elements in a five-dimensional nested output array.
stats-strided-dnanmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/blas-base-matrix-triangle-enum2str
Return the BLAS matrix triangle string associated with a BLAS matrix triangle enumeration constant.
stats-array-min-by
Calculate the minimum value of an array via a callback function.
@stdlib/array-base-quinary4d
Apply a quinary callback to elements in five four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
@stdlib/ndarray-base-nullary-tiling-block-size
Resolve a loop block size for multi-dimensional array tiled loops.
@stdlib/array-base-quaternary3d
Apply a quaternary callback to elements in four three-dimensional nested input arrays and assign results to elements in a three-dimensional nested output array.
array-base-broadcasted-ternary5d
Apply a ternary callback to elements in three broadcasted input arrays and assign results to elements in a five-dimensional nested output array.
@stdlib/array-base-fancy-slice-assign
Assign element values from a broadcasted input array to corresponding elements in an output array.
array-base-unary3d-by
Apply a unary function to each element retrieved from a three-dimensional nested input array according to a callback function and assign results to elements in a three-dimensional nested output array.
@stdlib/array-base-unarynd
Apply a unary callback to elements in an n-dimensional nested input array and assign results to elements in an n-dimensional nested output array.
array-base-unary4d-by
Apply a unary function to each element retrieved from a four-dimensional nested input array according to a callback function and assign results to elements in a four-dimensional nested output array.
@stdlib/random-array-logistic
Create an array containing pseudorandom numbers drawn from a logistic distribution.
@stdlib/blas-base-transpose-operation-resolve-enum
Return the enumeration constant associated with a supported BLAS transpose operation value.
@stdlib/random-array-tools-ternary
Constructor for creating arrays filled with pseudorandom values drawn from a ternary PRNG.
array-base-cuany-by-right
Cumulatively test whether at least one array element in a provided array passes a test implemented by a predicate function, while iterating from right-to-left.
lapack-base-spttrf
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
array-little-endian-factory
Return a typed array constructor for creating typed arrays stored in little-endian byte order.
@stdlib/random-array-arcsine
Create an array containing arcsine distributed pseudorandom numbers.
stats-strided-maxabs
This repository provides a function to compute the maximum absolute value of strided data efficiently. Join us in enhancing numerical computation in JavaScript! 🛠️✨