@stdlib/array-cartesian-product
Return the Cartesian product.
0.2.2 • Published 1 year ago
Mathematics Packages
@stdlib/array-cartesian-square
Return the Cartesian square.
@stdlib/array-datespace
Generate an array of linearly spaced dates.
@stdlib/array-incrspace
Generate a linearly spaced numeric array using a provided increment.
@stdlib/array-linspace
Generate a linearly spaced array over a specified interval.
@stdlib/array-logspace
Generate a logarithmically spaced numeric array.
@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.