@stdlib/assert-is-complex64vector-like
Test if a value is a 1-dimensional ndarray-like object containing single-precision complex floating-point numbers.
Test if a value is a 1-dimensional ndarray-like object containing single-precision complex floating-point numbers.
Apply a plane rotation.
Construct a Givens plane rotation.
Apply a modified Givens transformation.
Multiply a single-precision floating-point vector by a constant.
Interchange two single-precision floating-point vectors.
Scale a double-precision complex floating-point vector by a double-precision complex floating-point constant and add the result to a double-precision complex floating-point vector.
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
Interchanges two complex double-precision floating-point vectors.
Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation and returning an extended precision result.
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using pairwise summation with extended accumulation, and returning an extended precision result.
Compute the sum of absolute values (L1 norm).
Multiply a vector x by a constant and add the result to y.
Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.
Compute the L2-norm of a complex single-precision floating-point vector.
Copy values from x into y.