package owl-base

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package owl-base
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Types and constants
type ('a, 'b) t = ('a, 'b) Owl_base_dense_ndarray_generic.t
Basic functions
val inv : ('a, 'b) t -> ('a, 'b) t

``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.)

val det : ('a, 'b) t -> 'a

``det x`` computes the determinant of a square matrix ``x``.

val logdet : ('a, 'b) t -> 'a

Refer to :doc:`owl_dense_matrix_generic`

Check matrix types
val is_tril : ('a, 'b) t -> bool

``is_tril x`` returns ``true`` if ``x`` is lower triangular otherwise ``false``.

val is_triu : ('a, 'b) t -> bool

``is_triu x`` returns ``true`` if ``x`` is upper triangular otherwise ``false``.

val is_diag : ('a, 'b) t -> bool

``is_diag x`` returns ``true`` if ``x`` is diagonal otherwise ``false``.

val is_symmetric : ('a, 'b) t -> bool

``is_symmetric x`` returns ``true`` if ``x`` is symmetric otherwise ``false``.

val is_hermitian : (Stdlib.Complex.t, 'b) t -> bool

``is_hermitian x`` returns ``true`` if ``x`` is hermitian otherwise ``false``.

Factorisation
val lu : ('a, 'b) t -> ('a, 'b) t * ('a, 'b) t * int array

``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, Stdlib.Bigarray.int32_elt) t

Refer to :doc:`owl_dense_matrix_generic`

val lq : ?thin:bool -> ('a, 'b) t -> ('a, 'b) t * ('a, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

val svd : ?thin:bool -> ('a, 'b) t -> ('a, 'b) t * ('a, 'b) t * ('a, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

val chol : ?upper:bool -> ('a, 'b) t -> ('a, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

Linear system of equations
val linsolve : ?trans:bool -> ?typ:[ `n | `u | `l ] -> ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

val sylvester : ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

val lyapunov : ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

val discrete_lyapunov : ?solver:[ `default | `bilinear | `direct ] -> ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t

Refer 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) t

Refer to :doc:`owl_dense_matrix_generic`

val dare : ?diag_r:bool -> (float, 'b) t -> (float, 'b) t -> (float, 'b) t -> (float, 'b) t -> (float, 'b) t

Refer to :doc:`owl_dense_matrix_generic`

Non-standard functions
val linsolve_lu : ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t
val linsolve_gauss : (float, 'a) t -> (float, 'b) t -> (float, 'a) t * (float, 'b) t
val tridiag_solve_vec : float array -> float array -> float array -> float array -> float array
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