ndarray-vector-uint8c
Create a clamped unsigned 8-bit integer vector (i.e., a one-dimensional ndarray).
@stdlib/math-base-special-kernel-log1p
Compute log(1+f) - f for 1+f in ~[sqrt(2)/2, sqrt(2)].
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.
stats-strided-dmidrange
Calculate the mid-range of a double-precision floating-point strided array.
blas-ext-base-ndarray-sindex-of
Return the first index of a specified search element in a one-dimensional single-precision floating-point ndarray.
blas-ext-base-ndarray-glast-index-of
Return the last index of a specified search element in a one-dimensional ndarray.
stats-strided-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
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. 🐙💻
@stdlib/strided-base-reinterpret-boolean
Reinterpret a BooleanArray as a Uint8Array.
blas-ext-base-glast-index-of
Explore the blas-ext-base-glast-index-of repository for efficient numerical computations in JavaScript and C. Join us in enhancing web-based scientific tools! 🚀💻
math-base-special-sech
Math Base Special Sech provides efficient mathematical functions for numerical computation in JavaScript. Enhance your projects with reliable and precise calculations! 🚀📊
stats-strided-dsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
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.
stats-strided-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
stats-strided-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/random-array-chi
Create an array containing pseudorandom numbers drawn from a chi distribution.
stats-strided-variancewd
Calculate the variance of a strided array using Welford's algorithm.
stats-strided-varianceyc
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
ndarray-vector-uint32
Create an unsigned 32-bit integer vector (i.e., a one-dimensional ndarray).
stats-strided-smeanli
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/random-array-triangular
Create an array containing pseudorandom numbers drawn from a triangular distribution.
stats-strided-dnanvariance
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
@stdlib/slice-base-args2multislice
Create a MultiSlice object from a list of MultiSlice constructor arguments.
math-base-special-atanf
Compute the arctangent of a single-precision floating-point number.
constants-float32-sqrt-pi
Square root of the mathematical constant π as a single-precision floating-point number.
@stdlib/math-base-special-truncsd
Round a numeric value to the nearest number toward zero with N significant figures.
@stdlib/array-empty-like
Create an uninitialized array having the same length and data type as a provided array.
stats-array-nanstdevch
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass trial mean algorithm.
stats-strided-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/random-array-t
Create an array containing pseudorandom numbers drawn from a Student's t-distribution.
stats-strided-snanminabs
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
stats-strided-nanminabs
Calculate the minimum absolute value of a strided array, ignoring NaN values.
stats-strided-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/random-strided-chi
Fill a strided array with pseudorandom numbers drawn from a chi distribution.
stats-array-nanstdevtk
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass textbook algorithm.
ndarray-vector-int8
Create a signed 8-bit integer vector (i.e., a one-dimensional 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.
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.
stats-strided-dnanmean
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
stats-strided-sstdevpn
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
stats-strided-nanvariance
Calculate the variance of a strided array ignoring NaN values.
stats-strided-nanvariancetk
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-strided-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
stats-strided-smediansorted
Calculate the median value of a sorted single-precision floating-point strided array.
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-dsnanmean
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
stats-strided-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
stats-strided-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
stats-strided-variancepn
Calculate the variance of a strided array using a two-pass algorithm.
stats-array-nanvariancetk
Calculate the variance of an array ignoring `NaN` values and using a one-pass textbook algorithm.
math-base-special-atan2d
Compute the angle in the plane (in degrees) between the positive x-axis and the ray from (0,0) to the point (x,y).
stats-array-nanstdevyc
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
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.