math-base-special-csignumf
Evaluate the signum function of a single-precision complex floating-point number.
@stdlib/complex-float32-base-assert-is-same-value-zero
Test whether two single-precision complex floating-point numbers are the same value.
@stdlib/blas-ext-base-gnansumpw
Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
blas-ext-base-ndarray-glast-index-of
Efficiently find the index of values in ndarrays with blas-ext-base-ndarray-glast-index-of. Ideal for numerical computations in JavaScript. 🐙💻
stats-strided-sdsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
stats-strided-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
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array-base-symmetric-filled2d-by
Create a filled two-dimensional symmetric nested array according to a provided callback function.
stats-strided-dmax
Calculate the maximum value of a double-precision floating-point strided array.
stats-base-ndarray-max
Compute the maximum value of a one-dimensional ndarray.
stats-strided-maxsorted
Calculate the maximum value of a sorted strided array.
math-base-special-cosf
Compute the cosine of a single-precision floating-point number (in radians).
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-array-min-by
Calculate the minimum value of an array via a callback function.
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.
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-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
math-base-special-havercosf
Compute the half-value versed cosine of a single-precision floating-point number (in radians).
stats-array-nanvariancech
Calculate the variance of an array ignoring `NaN` values and using a one-pass trial mean algorithm.
stats-array-nanvarianceyc
Calculate the variance of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
blas-base-wasm-cscal
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
blas-base-wasm-zcopy
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
@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.
@stdlib/random-strided-invgamma
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
stats-strided-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
stats-strided-dztest
Compute a one-sample Z-test for a double-precision floating-point strided array.
ndarray-vector-int8
Create a signed 8-bit integer vector (i.e., a one-dimensional ndarray).
math-base-special-frexpf
The "math-base-special-frexpf" repository provides a specialized function for computing the exponential function of a floating-point number. This library supports efficient numerical calculations in both browsers and Node.js. 🐙📦
math-base-special-frexpf
Split a single-precision floating-point number into a normalized fraction and an integer power of two.
math-array-tools-unary
Constructor for applying a unary function to each element in an input array.
stats-strided-dmediansorted
Calculate the median value of a sorted double-precision floating-point strided array.
math-base-special-negafibonaccif
Compute the nth negaFibonacci number as a single-precision floating-point number.
stats-strided-dminabs
Calculate the minimum absolute value of a double-precision floating-point strided array.
@stdlib/math-base-tools-normhermitepolyf
Evaluate a normalized Hermite polynomial using single-precision floating-point arithmetic.
stats-strided-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
stats-strided-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
math-base-special-wrapf
The "math-base-special-wrapf" repository offers a collection of mathematical functions for precise floating-point operations. This library enhances numerical accuracy and performance in JavaScript applications. 🖥️📊
stats-strided-dnanmaxabs
Calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values.
ndarray-vector-uint32
Create an unsigned 32-bit integer vector (i.e., a one-dimensional ndarray).
@stdlib/random-array-tools-unary-factory
Create a factory function for generating pseudorandom values drawn from a unary PRNG.
stats-array-nanmaxabs
Calculate the maximum absolute value of an array, ignoring NaN values.
stats-strided-dnanvariancetk
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-base-ndarray-dmax
Compute the maximum value of a one-dimensional double-precision floating-point ndarray.
stats-strided-mskmin
Calculate the minimum value of a strided array according to a mask.
stats-array-nanmax-by
Calculate the maximum value of an array via a callback function, ignoring NaN values.
number-float64-base-add5
Compute the sum of five double-precision floating-point numbers.
blas-ext-base-ndarray-zsum
Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
stats-strided-dcuminabs
Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
ndarray-vector-float64
Create a double-precision floating-point vector (i.e., a one-dimensional ndarray).
stats-strided-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
array-base-without
Return a new array containing every element from an input array, except for the element at a specified index.
stats-strided-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.