Complex64Array.

Create a complex number typed array.

Test if a value is a Complex64Array.

Create an array filled with NaNs and having a specified length.

Fill a single-precision complex floating-point strided array with a specified scalar constant.

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

Test if a value is a complex typed array.

Test if a value is a Complex64Array.

Copy all or part of a matrix A to another matrix B.

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

Replicate each element in a single-precision complex floating-point strided array a specified number of times.

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

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

Subtract a scalar constant from each element in 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 first column in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.

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

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.

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`.

Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y` or `y = α*A^H*x + β*y`.