53 lines
1.3 KiB
Rust
53 lines
1.3 KiB
Rust
use na::{DefaultAllocator, RealField, Scalar};
|
|
|
|
use crate::aliases::{TMat, TVec};
|
|
use crate::traits::{Alloc, Dimension, Number};
|
|
|
|
/// The determinant of the matrix `m`.
|
|
pub fn determinant<N: RealField, D: Dimension>(m: &TMat<N, D, D>) -> N
|
|
where
|
|
DefaultAllocator: Alloc<N, D, D>,
|
|
{
|
|
m.determinant()
|
|
}
|
|
|
|
/// The inverse of the matrix `m`.
|
|
pub fn inverse<N: RealField, D: Dimension>(m: &TMat<N, D, D>) -> TMat<N, D, D>
|
|
where
|
|
DefaultAllocator: Alloc<N, D, D>,
|
|
{
|
|
m.clone()
|
|
.try_inverse()
|
|
.unwrap_or_else(TMat::<N, D, D>::zeros)
|
|
}
|
|
|
|
/// Component-wise multiplication of two matrices.
|
|
pub fn matrix_comp_mult<N: Number, R: Dimension, C: Dimension>(
|
|
x: &TMat<N, R, C>,
|
|
y: &TMat<N, R, C>,
|
|
) -> TMat<N, R, C>
|
|
where
|
|
DefaultAllocator: Alloc<N, R, C>,
|
|
{
|
|
x.component_mul(y)
|
|
}
|
|
|
|
/// Treats the first parameter `c` as a column vector and the second parameter `r` as a row vector and does a linear algebraic matrix multiply `c * r`.
|
|
pub fn outer_product<N: Number, R: Dimension, C: Dimension>(
|
|
c: &TVec<N, R>,
|
|
r: &TVec<N, C>,
|
|
) -> TMat<N, R, C>
|
|
where
|
|
DefaultAllocator: Alloc<N, R, C>,
|
|
{
|
|
c * r.transpose()
|
|
}
|
|
|
|
/// The transpose of the matrix `m`.
|
|
pub fn transpose<N: Scalar, R: Dimension, C: Dimension>(x: &TMat<N, R, C>) -> TMat<N, C, R>
|
|
where
|
|
DefaultAllocator: Alloc<N, R, C>,
|
|
{
|
|
x.transpose()
|
|
}
|