SymmQSM

class tinygp.solvers.quasisep.core.SymmQSM(diag: DiagQSM, lower: StrictLowerTriQSM)

Bases: QSM

A symmetric order m quasiseparable matrix

Parameters:

• diag – The diagonal elements.

• lower – The strictly lower triangular elements with order m.

cholesky() → LowerTriQSM

The Cholesky decomposition of this matrix

If this matrix is called A, this method returns the LowerTriQSM L such that L @ L.T = A.

inv() → SymmQSM

The inverse of this matrix

matmul(x: tinygp.helpers.JAXArray) → tinygp.helpers.JAXArray

The dot product of this matrix with a dense vector or matrix

Parameters:

x (n, ...) – A matrix or vector with leading dimension matching this matrix.

scale(other: tinygp.helpers.JAXArray) → SymmQSM

The multiplication of this matrix times a scalar, as a QSM

property shape: tuple[int, int]

The shape of the matrix

to_dense() → tinygp.helpers.JAXArray

Render this representation to a dense matrix

This implementation is not optimized and should really only ever be used for testing purposes.

transpose() → SymmQSM

The matrix transpose as a QSM