@stemcmicro/eigenmath
hilbert function for stemcmicro
0.9.80 • Published 1 year ago
MATH Packages
@stdlib/array-base-cartesian-square
Return the Cartesian square.
@stdlib/array-base-cartesian-power
Return the Cartesian power.
@stdlib/array-base-cartesian-product
Return the Cartesian product.
@stdlib/array-base-linspace
Generate a linearly spaced numeric array.
@stdlib/array-base-n-cartesian-product
Return the n-fold Cartesian product.
@stdlib/stats-base-dnanrange
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dnanmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-dnanmskrange
Calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-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.
@stdlib/stats-base-dsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
@stdlib/stats-base-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/stats-base-dsmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dsmeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dsmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.