Struct Ldlt 

pub struct Ldlt<const D: usize> { /* private fields */ }

LDLT factorization (A = L D Lᵀ) for symmetric positive (semi)definite matrices.

This factorization is not a general-purpose symmetric-indefinite LDLT (no pivoting). It assumes the input matrix is symmetric and (numerically) SPD/PSD.

Preconditions

The source matrix passed to Matrix::ldlt must be symmetric (A[i][j] == A[j][i] within rounding). Asymmetric inputs return LaError::Asymmetric before factorization starts; see Matrix::ldlt for details and alternatives.

Storage

The factors are stored in a single Matrix:

• D is stored on the diagonal.
• The strict lower triangle stores the multipliers of L.
• The diagonal of L is implicit ones.

Implementations

impl<const D: usize> Ldlt<D>

pub const fn det(&self) -> Result<f64, LaError>

Determinant of the original matrix.

For SPD/PSD matrices, this is the product of the diagonal terms of D.

Examples

use la_stack::prelude::*;

// Symmetric SPD matrix.
let a = Matrix::<2>::try_from_rows([[4.0, 2.0], [2.0, 3.0]])?;
let ldlt = a.ldlt(DEFAULT_SINGULAR_TOL)?;

assert!((ldlt.det()? - 8.0).abs() <= 1e-12);

Errors

Returns LaError::NonFinite if the determinant product overflows to NaN or infinity.

pub const fn solve_vec(&self, b: Vector<D>) -> Result<Vector<D>, LaError>

Solve A x = b using this LDLT factorization.

solve_vec performs floating-point substitution and does not provide a certified absolute rounding-error bound for the returned solution.

Examples

use la_stack::prelude::*;

let a = Matrix::<2>::try_from_rows([[4.0, 2.0], [2.0, 3.0]])?;
let ldlt = a.ldlt(DEFAULT_SINGULAR_TOL)?;

let b = Vector::<2>::try_new([1.0, 2.0])?;
let x = ldlt.solve_vec(b)?.into_array();

assert!((x[0] - (-0.125)).abs() <= 1e-12);
assert!((x[1] - 0.75).abs() <= 1e-12);

Errors

Returns LaError::NonFinite if the right-hand side contains NaN/infinity or a computed substitution intermediate overflows to NaN or infinity. The right-hand side is revalidated at this boundary before entering substitution; public callers normally encounter the same rejection earlier through Vector::try_new.

Trait Implementations

impl<const D: usize> Clone for Ldlt<D>

fn clone(&self) -> Ldlt<D>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<const D: usize> Copy for Ldlt<D>

impl<const D: usize> Debug for Ldlt<D>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<const D: usize> PartialEq for Ldlt<D>

fn eq(&self, other: &Ldlt<D>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<const D: usize> StructuralPartialEq for Ldlt<D>