stats-array-nanmean
This repository provides a function to compute the mean of an array while ignoring NaN values. 📊 Explore efficient numerical computations in JavaScript with our standard library! 🚀
stats-strided-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
stats-array-stdevwd
Calculate the standard deviation of an array using Welford's algorithm.
stats-array-stdevpn
Calculate the standard deviation of an array using a two-pass algorithm.
lapack-base-dlaset
Set the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values.
blas-ext-base-ndarray-gindex-of
Return the first index of a specified search element in a one-dimensional ndarray.
blas-base-matrix-orientation-str2enum
Return the enumeration constant associated with a matrix orientation.
stats-strided-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-wasm-dmeanors
Calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.
stats-strided-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-dnanvariance
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
blas-base-strsv
Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
stats-strided-dmax
Calculate the maximum value of a double-precision floating-point strided array.
stats-strided-dcovmatmtk
Compute the covariance matrix for an `M` by `N` double-precision floating-point matrix `A` and assigns the results to a matrix `B` when provided known means 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-nanvariancetk
Calculate the variance of an array ignoring `NaN` values and using a one-pass textbook algorithm.
blas-base-wasm-dznrm2
Compute the L2-norm of a complex double-precision floating-point vector.
blas-base-wasm-sdsdot
Calculate the dot product of two single-precision floating-point vectors with extended accumulation.
ndarray-base-unary-reduce-subarray-by
This repository contains a JavaScript library for performing unary reduction operations on subarrays within ndarray structures. Explore the code and contribute to enhance numerical computations! 🐙🌐
stats-array-nanmskrange
Effortlessly compute statistical ranges in arrays with stats-array-nanmskrange. Ideal for numerical tasks in JavaScript and Node.js. 🚀📊
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.
@stdlib/random-array-frechet
Create an array containing pseudorandom numbers drawn from a Fréchet distribution.
random-array-beta
Create an array containing pseudorandom numbers drawn from a beta distribution.
stats-strided-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
stats-array-nanmskmax
Calculate the maximum value of an array according to a mask, ignoring NaN values.
@stdlib/blas-base-transpose-operation-enum2str
Return the BLAS transpose operation string associated with a BLAS transpose operation enumeration constant.
@stdlib/ndarray-base-binary-tiling-block-size
Resolve a loop block size for multi-dimensional array tiled loops.
@stdlib/array-base-ternary4d
Apply a ternary callback to elements in three four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
extra-sorted-array
A sorted array is a collection of values, arranged in an order.
@stdlib/random-array-uniform
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
blas-base-wasm-zswap
Interchange two complex double-precision floating-point vectors.
blas-base-wasm-ccopy
Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.
array-base-broadcasted-ternary3d
Apply a ternary callback to elements in three broadcasted input arrays and assign results to elements in a three-dimensional nested output array.
stats-strided-dnanvarianceyc
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/blas-base-caxpy
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.
@stdlib/blas-base-zswap
Interchanges two complex double-precision floating-point vectors.
stats-strided-dmeanors
Calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.
@stdlib/ndarray-base-maybe-broadcast-arrays
Broadcast ndarrays to a common shape.
@stdlib/array-empty-like
Create an uninitialized array having the same length and data type as a provided array.
stats-strided-sztest
Compute a one-sample Z-test for a single-precision floating-point strided array.
array-base-broadcasted-quaternary2d
Apply a quaternary callback to elements in four broadcasted input arrays and assign results to elements in a two-dimensional nested output array.
stats-strided-dnanmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
stats-strided-dsnanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
stats-strided-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
stats-strided-nanvarianceyc
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-nanvariancetk
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-strided-nanvariance
Calculate the variance of a strided array ignoring NaN values.
ndarray-base-unary-reduce-strided1d-by
Perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assign results to a provided output ndarray.
ndarray-base-unary-reduce-subarray-by
Perform a reduction over a list of specified dimensions in an input ndarray according to a callback function and assign results to a provided output ndarray.