Owl_base_linalg_genericSource``inv x`` calculates the inverse of an invertible square matrix ``x`` such that ``x *@ x = I`` wherein ``I`` is an identity matrix. (If ``x`` is singular, ``inv`` will return a useless result.)
``is_tril x`` returns ``true`` if ``x`` is lower triangular otherwise ``false``.
``is_triu x`` returns ``true`` if ``x`` is upper triangular otherwise ``false``.
``is_diag x`` returns ``true`` if ``x`` is diagonal otherwise ``false``.
``is_symmetric x`` returns ``true`` if ``x`` is symmetric otherwise ``false``.
``is_hermitian x`` returns ``true`` if ``x`` is hermitian otherwise ``false``.
``lu x -> (l, u, ipiv)`` calculates LU decomposition of ``x``. The pivoting is used by default.
val qr :
?thin:bool ->
?pivot:bool ->
('a, 'b) t ->
('a, 'b) t * ('a, 'b) t * (int32, Bigarray.int32_elt) tRefer to :doc:`owl_dense_matrix_generic`
Refer to :doc:`owl_dense_matrix_generic`
Refer to :doc:`owl_dense_matrix_generic`
Refer to :doc:`owl_dense_matrix_generic`
Refer to :doc:`owl_dense_matrix_generic`
val discrete_lyapunov :
?solver:[ `default | `bilinear | `direct ] ->
('a, 'b) t ->
('a, 'b) t ->
('a, 'b) tRefer to :doc:`owl_dense_matrix_generic`
val care :
?diag_r:bool ->
(float, 'b) t ->
(float, 'b) t ->
(float, 'b) t ->
(float, 'b) t ->
(float, 'b) tRefer to :doc:`owl_dense_matrix_generic`
val tridiag_solve_vec :
float array ->
float array ->
float array ->
float array ->
float array