Generate a linearly spaced numeric array whose elements increment by 1 starting from zero and having the same length and data type as a provided input array.

@stdlib/assert-is-same-complex64

Test if two arguments are both single-precision complex floating-point numbers and have the same value.

@stdlib/array-empty-like

Create an uninitialized array having the same length and data type as a provided array.

@stdlib/constants-complex64-nan

Canonical single-precision complex floating-point NaN.

@stdlib/assert-is-complex64vector-like

Test if a value is a 1-dimensional ndarray-like object containing single-precision complex floating-point numbers.

@stdlib/constants-complex64-zero

Single-precision complex floating-point zero.

@stdlib/array-one-to-like

Generate a linearly spaced numeric array whose elements increment by 1 starting from one and having the same length and data type as a provided input array.

@stdlib/assert-is-complex64matrix-like

Test if a value is a 2-dimensional ndarray-like object containing single-precision complex floating-point numbers.

@stdlib/assert-is-complex64ndarray-like

Test if a value is an ndarray-like object containing single-precision complex floating-point numbers.

@stdlib/napi-argv-complex64array

Convert a Node-API value to a single-precision complex floating-point array.

@stdlib/array-pool

Typed array pool.

@stdlib/blas-base-caxpy

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.

@stdlib/array-zeros-like

Create a zero-filled array having the same length and data type as a provided array.

@stdlib/array-nans-like

Create an array filled with NaNs and having the same length and data type as a provided array.