pub struct Cholesky<T: SimdComplexField, D: Dim> where
    DefaultAllocator: Allocator<T, D, D>, 
{ /* private fields */ }
Expand description

The Cholesky decomposition of a symmetric-definite-positive matrix.

Implementations

Computes the Cholesky decomposition of matrix without checking that the matrix is definite-positive.

If the input matrix is not definite-positive, the decomposition may contain trash values (Inf, NaN, etc.)

Retrieves the lower-triangular factor of the Cholesky decomposition with its strictly upper-triangular part filled with zeros.

Retrieves the lower-triangular factor of the Cholesky decomposition, without zeroing-out its strict upper-triangular part.

The values of the strict upper-triangular part are garbage and should be ignored by further computations.

Retrieves the lower-triangular factor of the Cholesky decomposition with its strictly uppen-triangular part filled with zeros.

Retrieves the lower-triangular factor of the Cholesky decomposition, without zeroing-out its strict upper-triangular part.

This is an allocation-less version of self.l(). The values of the strict upper-triangular part are garbage and should be ignored by further computations.

Solves the system self * x = b where self is the decomposed matrix and x the unknown.

The result is stored on b.

Returns the solution of the system self * x = b where self is the decomposed matrix and x the unknown.

Computes the inverse of the decomposed matrix.

Computes the determinant of the decomposed matrix.

Attempts to compute the Cholesky decomposition of matrix.

Returns None if the input matrix is not definite-positive. The input matrix is assumed to be symmetric and only the lower-triangular part is read.

Given the Cholesky decomposition of a matrix M, a scalar sigma and a vector v, performs a rank one update such that we end up with the decomposition of M + sigma * (v * v.adjoint()).

Updates the decomposition such that we get the decomposition of a matrix with the given column col in the jth position. Since the matrix is square, an identical row will be added in the jth row.

Updates the decomposition such that we get the decomposition of the factored matrix with its jth column removed. Since the matrix is square, the jth row will also be removed.

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

Formats the value using the given formatter. Read more

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

Should always be Self

The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more

Checks if self is actually part of its subset T (and can be converted to it).

Use with care! Same as self.to_subset but without any property checks. Always succeeds.

The inclusion map: converts self to the equivalent element of its superset.

The resulting type after obtaining ownership.

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🔬 This is a nightly-only experimental API. (toowned_clone_into)

Uses borrowed data to replace owned data, usually by cloning. Read more

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.