@stdlib/blas-base-transpose-operation-resolve-str
Return the transpose operation string associated with a supported BLAS transpose operation value.
stats-incr-nanmean
Compute an arithmetic mean incrementally, ignoring NaN values.
@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.
https://github.com/caleb531/truthy
The truth table generator app, written in JavaScript using Mithril
math-base-special-modff
Decompose a single-precision floating-point number into integral and fractional parts.
stats-array-mskmax
Calculate the maximum value of an array according to a mask.
math-base-special-cphasef
This repository, "math-base-special-cphasef," provides specialized mathematical functions for complex phase calculations. Explore the code and contribute to enhance numerical computation in JavaScript! 🛠️🌐
stats-strided-snanmskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
math-base-special-csignumf
Evaluate the signum function of a single-precision complex floating-point number.
math-base-special-minabsf
Return the minimum absolute single-precision floating-point number.
stats-strided-snanrange
Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
stats-strided-sminsorted
Calculate the minimum value of a sorted single-precision floating-point strided array.
stats-strided-dsvariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
number-uint32-base-muldw
Compute the double word product of two unsigned 32-bit integers.
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.
stats-array-meanpw
Calculate the arithmetic mean of an array using pairwise summation.
stats-strided-meanpn
Stats-strided-meanpn provides efficient computation of strided means for numerical data. 📊 This library enhances your data analysis capabilities in JavaScript and Node.js. 🚀
assert-is-almost-equal-complex128array
Test if two arguments are both Complex128Arrays and contain respective elements which are approximately equal within a specified number of ULPs (units in the last place).
constants-float32-min-base10-exponent-subnormal
The minimum base 10 exponent for a subnormal single-precision floating-point number.
ndarray-vector-float32
Create a single-precision floating-point vector (i.e., a one-dimensional ndarray).
stats-base-dists-planck-mgf
Planck (discrete exponential) distribution moment-generating function (MGF).
math-base-special-secf
Compute the secant of a single-precision floating-point number (in radians).
math-base-special-nanminf
Return the minimum value of two single-precision floating-point numbers, ignoring NaN.
constants-float32-max-base10-exponent
The maximum base 10 exponent for a single-precision floating-point number.
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.
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-strided-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-array-nanstdevtk
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass textbook algorithm.
stats-array-nanstdevyc
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-sztest2
Compute a two-sample Z-test for two single-precision floating-point strided arrays.
array-struct-factory
Return a constructor for creating arrays having a fixed-width composite data type.
stats-base-ndarray-cumax
Compute the cumulative maximum value of a one-dimensional ndarray.
stats-base-ndarray-dcumax
Compute the cumulative maximum value of a one-dimensional double-precision floating-point ndarray.
stats-strided-wasm-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
stats-strided-dmin
Calculate the minimum value of a double-precision floating-point strided array.
stats-strided-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
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-snanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
https://github.com/a-herzog/calc
Calculator is a web service for different calculation tasks.
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-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
stats-strided-dmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
ndarray-vector-int16
Create a signed 16-bit integer vector (i.e., a one-dimensional ndarray).
@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.
array-base-mskbinary5d
Apply a binary callback to elements in two five-dimensional nested input arrays according to elements in a five-dimensional nested mask array and assign results to elements in a five-dimensional nested output array.
stats-strided-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stats-array-nanmean
Calculate the arithmetic mean of an array, ignoring NaN values.
@stdlib/assert-is-complex64matrix-like
Test if a value is a 2-dimensional ndarray-like object containing single-precision complex floating-point numbers.
math-base-special-atandf
Compute the arctangent(in degrees) of a single-precision floating-point number.
stats-strided-smaxsorted
Calculate the maximum value of a sorted single-precision floating-point strided array.
number-float32-base-add
Compute the sum of two single-precision floating-point numbers.
math-base-special-versinf
Explore the math-base-special-version library for efficient numerical and scientific computation in JavaScript. Ideal for web and Node.js applications. 🚀📊