complex64

Copy the upper triangular part of a single-precision complex floating-point matrix A to another matrix B.

Create a single-precision complex floating-point matrix (i.e., a two-dimensional ndarray).

Fill a single-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.

Add elements of a single-precision complex floating-point strided array `x` to the corresponding elements of a single-precision complex floating-point strided array `y` and assign the results to elements in a single-precision complex floating-point strided array `w`.

Revive a JSON-serialized 64-bit complex number.

Subtract a scalar constant from each element in an input one-dimensional single-precision complex floating-point ndarray and assign the results to elements in a one-dimensional single-precision complex floating-point output ndarray.

Multiply elements of a one-dimensional single-precision complex floating-point ndarray by the corresponding elements of a second one-dimensional single-precision complex floating-point ndarray and assign the results to the second ndarray.

Multiply each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and assign the results to elements in a one-dimensional single-precision complex floating-point output ndarray.

Subtract a scalar constant from each element in a one-dimensional single-precision complex floating-point ndarray.

Copy the lower triangular part of a single-precision complex floating-point matrix A to another matrix B.

Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.

Test if a value is a 64-bit or 128-bit complex number.

Perform one of the matrix-vector operations `y = alpha*A*x + beta*y`, `y = alpha*A^T*x + beta*y`, or `y = alpha*A^H*x + beta*y`.

Parse a string representation of a 64-bit complex number.

Return the index of the first truthy element in a single-precision complex floating-point strided array.

Calculate the k-th discrete forward difference of a single-precision complex floating-point strided array.

Subtract elements of a single-precision complex floating-point strided array `y` from the corresponding elements of a single-precision complex floating-point strided array `x` and assign the results to elements in a single-precision complex floating-point strided array `w`.

Return the index of the last row in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.

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

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