use crate::assert;
use crate::internal_prelude::*;
use linalg::matmul::triangular::BlockStructure;
pub fn inverse_scratch<T: ComplexField>(dim: usize, par: Par) -> StackReq {
_ = par;
temp_mat_scratch::<T>(dim, dim)
}
#[track_caller]
pub fn inverse<T: ComplexField>(
out: MatMut<'_, T>,
L: MatRef<'_, T>,
par: Par,
stack: &mut MemStack,
) {
let mut out = out;
let n = out.nrows();
assert!(all(
out.nrows() == n,
out.ncols() == n,
L.nrows() == n,
L.ncols() == n,
));
let (mut L_inv, _) = unsafe { temp_mat_uninit::<T, _, _>(n, n, stack) };
let mut L_inv = L_inv.as_mat_mut();
linalg::triangular_inverse::invert_lower_triangular(L_inv.rb_mut(), L, par);
let L_inv = L_inv.rb();
linalg::matmul::triangular::matmul(
out.rb_mut(),
BlockStructure::TriangularLower,
Accum::Replace,
L_inv.adjoint(),
BlockStructure::TriangularUpper,
L_inv,
BlockStructure::TriangularLower,
one(),
par,
);
}
#[cfg(test)]
mod tests {
use super::*;
use crate::assert;
use crate::stats::prelude::*;
use crate::utils::approx::*;
use dyn_stack::MemBuffer;
use linalg::cholesky::llt::*;
#[test]
fn test_inverse() {
let rng = &mut StdRng::seed_from_u64(0);
let n = 50;
let A = CwiseMatDistribution {
nrows: n,
ncols: n,
dist: ComplexDistribution::new(StandardNormal, StandardNormal),
}
.rand::<Mat<c64>>(rng);
let A = &A * A.adjoint();
let mut L = A.to_owned();
factor::cholesky_in_place(
L.as_mut(),
Default::default(),
Par::Seq,
MemStack::new(&mut {
MemBuffer::new(factor::cholesky_in_place_scratch::<c64>(
n,
Par::Seq,
default(),
))
}),
default(),
)
.unwrap();
let approx_eq = CwiseMat(ApproxEq::eps() * (n as f64));
let mut A_inv = Mat::zeros(n, n);
inverse::inverse(
A_inv.as_mut(),
L.as_ref(),
Par::Seq,
MemStack::new(&mut MemBuffer::new(
inverse::inverse_scratch::<c64>(n, Par::Seq),
)),
);
for j in 0..n {
for i in 0..j {
A_inv[(i, j)] = A_inv[(j, i)].conj();
}
}
assert!(A_inv * A ~ Mat::identity(n, n));
}
}