stats-strided-dsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
@stdlib/constants-float64-max-safe-nth-factorial
Maximum safe nth factorial when stored in double-precision floating-point format.
@stdlib/array-base-broadcasted-ternary2d
Apply a ternary callback to elements in three broadcasted input arrays and assign results to elements in a two-dimensional nested output array.
@stdlib/array-base-assert-is-complex-typed-array
Test if a value is a complex typed array.
@stdlib/array-base-quaternary5d
Apply a quaternary callback to elements in four five-dimensional nested input arrays and assign results to elements in a five-dimensional nested output array.
math-base-special-ldexpf
Multiply a single-precision floating-point number by an integer power of two.
@stdlib/math-base-ops-add5
Compute the sum of five double-precision floating-point numbers.
stats-base-dists-planck-median
Planck (discrete exponential) distribution median.
@stdlib/stats-base-sdsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
stats-strided-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/random-strided-invgamma
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
stats-array-nanvarianceyc
Calculate the variance of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
stats-array-nanvariancech
Calculate the variance of an array ignoring `NaN` values and using a one-pass trial mean algorithm.
@stdlib/slice-base-args2multislice
Create a MultiSlice object from a list of MultiSlice constructor arguments.
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-variancepn
Calculate the variance of a strided array using a two-pass algorithm.
stats-strided-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
stats-strided-dcovmatmtk
Compute the covariance matrix for an `M` by `N` double-precision floating-point matrix `A` and assigns the results to a matrix `B` when provided known means and using a one-pass textbook algorithm.
stats-strided-dmax
Calculate the maximum value of a double-precision floating-point strided array.
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.
stats-strided-dmaxsorted
Calculate the maximum value of a sorted double-precision floating-point strided array.
constants-float32-gamma-lanczos-g
Arbitrary constant `g` to be used in Lanczos approximation functions.
stats-strided-dvariance
Calculate the variance of a double-precision floating-point strided array.
lapack-base-dge-trans
Convert input general matrix from row-major to column-major layout or vice versa.
@stdlib/random-strided-lognormal
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
stats-strided-dmidrange
Calculate the mid-range of a double-precision floating-point strided array.
stats-strided-dmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
stats-strided-nanminabs
Calculate the minimum absolute value of a strided array, ignoring NaN values.
stats-strided-snanminabs
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
blas-ext-base-ndarray-gcusum
Compute the cumulative sum of a one-dimensional ndarray.
stats-array-nanstdevch
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass trial mean algorithm.
array-base-symmetric-filled2d-by
Create a filled two-dimensional symmetric nested array according to a provided callback function.
blas-base-wasm-dsdot
Compute the dot product of `x` and `y` with extended accumulation and result.
stats-strided-dztest2
Compute a two-sample Z-test for two double-precision floating-point strided arrays.
stats-array-stdevtk
Calculate the standard deviation of an array using a one-pass textbook algorithm.
stats-base-ndarray-scumax
Compute the cumulative maximum value of a one-dimensional single-precision floating-point ndarray.
stats-strided-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
stats-array-nanmeanpn
Calculate the arithmetic mean of an array, ignoring NaN values and using a two-pass error correction algorithm.
stats-strided-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
stats-strided-sdsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
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.
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-dcumin
Calculate the cumulative minimum of double-precision floating-point strided array elements.
blas-ext-base-ndarray-glast-index-of
Return the last index of a specified search element in a one-dimensional ndarray.
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-base-strsv
Solve one of the systems of equations `A*x = b` or `A^T*x = b`.