@stdlib/stats-base-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.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Calculate the minimum absolute value of a single-precision floating-point strided array.
Calculate the minimum value of a sorted single-precision floating-point strided array.
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Test if a value is an ndarray-like object containing single-precision floating-point numbers.
Test if a value is a 1-dimensional ndarray-like object containing single-precision floating-point numbers.
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.
Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
Apply a plane rotation.
Construct a Givens plane rotation.
Apply a modified Givens transformation.