Module faer::complex_native

Native complex floating point types whose real and imaginary parts are stored contiguously.

The types c32 and c64 respectively have the same layout as num_complex::Complex32 and num_complex::Complex64.

They differ in the way they are treated by the faer library: When stored in a matrix, Mat<c32> and Mat<c64> internally contain a single container of contiguously stored c32 and c64 values, whereas Mat<num_complex::Complex32> and Mat<num_complex::Complex64> internally contain two containers, separately storing the real and imaginary parts of the complex values.

Matrix operations using c32 and c64 are usually more efficient and should be preferred in most cases. num_complex::Complex matrices have better support for generic data types.

The drawing below represents a simplified layout of the Mat structure for each of c32 and num_complex::Complex32.

┌──────────────────┐
│ Mat<c32>         │
├──────────────────┤
│ ptr: *mut c32 ─ ─│─ ─ ─ ─ ┐
│ nrows: usize     │   ┌─────────┐
│ ncols: usize     │   │ z0: c32 │
│        ...       │   │ z1: c32 │
└──────────────────┘   │ z2: c32 │
                       │   ...   │
                       └─────────┘

┌───────────────────────┐
│ Mat<Complex32>        │
├───────────────────────┤
│ ptr_real: *mut f32 ─ ─│─ ─ ─ ─ ┐
│ ptr_imag: *mut f32 ─ ─│─ ─ ─ ─ ┼ ─ ─ ─ ─ ─ ─ ─ ┐
│ nrows: usize          │   ┌──────────┐   ┌──────────┐
│ ncols: usize          │   │ re0: f32 │   │ im0: f32 │
│           ...         │   │ re1: f32 │   │ im1: f32 │
└───────────────────────┘   │ re2: f32 │   │ im2: f32 │
                            │    ...   │   │    ...   │
                            └──────────┘   └──────────┘

Structs

• c32
  32-bit complex floating point type. See the module-level documentation for more details.
• c32conj
  32-bit implicitly conjugated complex floating point type.
• c64
  64-bit complex floating point type. See the module-level documentation for more details.
• c64conj
  64-bit implicitly conjugated complex floating point type.