@stdlib/blas-ext-base-ssort2sh
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@stdlib/stats-base-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.
@stdlib/stats-base-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-meankbn2
Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-gnansumkbn2
Calculate the sum of strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dnansumkbn2
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dvariancech
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@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-snanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@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-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-snanstdevch
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-dsort2sh
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@stdlib/stats-base-snanstdevyc
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-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.
@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-nanstdevyc
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/blas-ext-base-snansumkbn2
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-snanvarianceyc
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@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-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
stats-base-smeanli
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
librapid
A highly optimised C++ library for mathematical applications and neural networks.
stats-base-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-base-snanvariancech
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/assert-tools-array-like-function
Return a function which tests if every element in an array-like object passes a test condition.
@stdlib/strided-base-reinterpret-complex128
Reinterpret a Complex128Array as a Float64Array.
@stdlib/strided-base-reinterpret-complex64
Reinterpret a Complex64Array as a Float32Array.
@stdlib/array-base-assert-is-accessor-array
Test if an array-like object supports the accessor (get/set) protocol.
@stdlib/ndarray-base-bytes-per-element
Return the number of bytes per element provided an underlying array data type.
@stdlib/stats-base-dmin
Calculate the minimum value of a double-precision floating-point strided array.
@stdlib/blas-ext-base-dapx
Add a constant to each element in a double-precision floating-point strided array.
@stdlib/ndarray-base-minmax-view-buffer-index
Compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.
@stdlib/random-array-tools-nullary
Constructor for creating arrays filled with pseudorandom values drawn from a nullary PRNG.