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Complex dense matrix module: this module supports operations on dense matrices of complex numbers. The complex number has a record type of {re = float; im = float}.

This page only contains detailed explanations for the operations specific to Dense.Complex module. Most of the other operations are the same to those in Dense.Real module, therefore please refer to the documentation of Dense.Real for more information.

type elt = Complex.t
type mat = (Complex.t, Bigarray.complex32_elt) Owl_dense_matrix_generic.t
type cast_mat = (float, Bigarray.float32_elt) Owl_dense_matrix_generic.t
Create dense matrices
val empty : int -> int -> mat
val init : int -> int -> (int -> elt) -> mat
val init_nd : int -> int -> (int -> int -> elt) -> mat
val create : int -> int -> elt -> mat
val zeros : int -> int -> mat
val ones : int -> int -> mat
val eye : int -> mat
val sequential : ?a:elt -> ?step:elt -> int -> int -> mat
val uniform_int : ?a:int -> ?b:int -> int -> int -> mat
val uniform : ?scale:float -> int -> int -> mat
val gaussian : ?sigma:float -> int -> int -> mat
val bernoulli : ?p:float -> ?seed:int -> int -> int -> mat
Dense row vectors and meshgrids
val vector : int -> mat
val vector_zeros : int -> mat
val vector_ones : int -> mat
val vector_uniform : int -> mat
val linspace : elt -> elt -> int -> mat
val logspace : ?base:float -> elt -> elt -> int -> mat
val meshgrid : elt -> elt -> elt -> elt -> int -> int -> mat * mat
val meshup : mat -> mat -> mat * mat
Obtain the basic properties of a matrix
val shape : mat -> int * int
val row_num : mat -> int
val col_num : mat -> int
val numel : mat -> int
val nnz : mat -> int
val density : mat -> float
val size_in_bytes : mat -> int
val same_shape : mat -> mat -> bool
Manipulate a matrix
val get : mat -> int -> int -> elt
val set : mat -> int -> int -> elt -> unit
val row : mat -> int -> mat
val col : mat -> int -> mat
val rows : mat -> int array -> mat
val cols : mat -> int array -> mat
val reshape : int -> int -> mat -> mat
val flatten : mat -> mat
val slice : int list list -> mat -> mat
val reverse : mat -> mat
val reset : mat -> unit
val fill : mat -> elt -> unit
val clone : mat -> mat
val copy_to : mat -> mat -> unit
val copy_row_to : mat -> mat -> int -> unit
val copy_col_to : mat -> mat -> int -> unit
val concat_vertical : mat -> mat -> mat
val concat_horizontal : mat -> mat -> mat
val concatenate : ?axis:int -> mat array -> mat
val transpose : mat -> mat
val diag : mat -> mat
val replace_row : mat -> mat -> int -> mat
val replace_col : mat -> mat -> int -> mat
val swap_rows : mat -> int -> int -> unit
val swap_cols : mat -> int -> int -> unit
val tile : mat -> int array -> mat
val repeat : ?axis:int -> mat -> int -> mat
val pad : ?v:elt -> int list list -> mat -> mat
val dropout : ?rate:float -> ?seed:int -> mat -> mat
Iterate elements, columns, and rows.
val iteri : (int -> int -> elt -> unit) -> mat -> unit
val iter : (elt -> unit) -> mat -> unit
val mapi : (int -> int -> elt -> elt) -> mat -> mat
val map : (elt -> elt) -> mat -> mat
val map2i : (int -> int -> elt -> elt -> elt) -> mat -> mat -> mat
val map2 : (elt -> elt -> elt) -> mat -> mat -> mat
val foldi : (int -> int -> 'a -> elt -> 'a) -> 'a -> mat -> 'a
val fold : ('a -> elt -> 'a) -> 'a -> mat -> 'a
val filteri : (int -> int -> elt -> bool) -> mat -> (int * int) array
val filter : (elt -> bool) -> mat -> (int * int) array
val iteri_rows : (int -> mat -> unit) -> mat -> unit
val iter_rows : (mat -> unit) -> mat -> unit
val iter2i_rows : (int -> mat -> mat -> unit) -> mat -> mat -> unit
val iter2_rows : (mat -> mat -> unit) -> mat -> mat -> unit
val iteri_cols : (int -> mat -> unit) -> mat -> unit
val iter_cols : (mat -> unit) -> mat -> unit
val filteri_rows : (int -> mat -> bool) -> mat -> int array
val filter_rows : (mat -> bool) -> mat -> int array
val filteri_cols : (int -> mat -> bool) -> mat -> int array
val filter_cols : (mat -> bool) -> mat -> int array
val fold_rows : ('a -> mat -> 'a) -> 'a -> mat -> 'a
val fold_cols : ('a -> mat -> 'a) -> 'a -> mat -> 'a
val mapi_rows : (int -> mat -> 'a) -> mat -> 'a array
val map_rows : (mat -> 'a) -> mat -> 'a array
val mapi_cols : (int -> mat -> 'a) -> mat -> 'a array
val map_cols : (mat -> 'a) -> mat -> 'a array
val mapi_by_row : int -> (int -> mat -> mat) -> mat -> mat
val map_by_row : int -> (mat -> mat) -> mat -> mat
val mapi_by_col : int -> (int -> mat -> mat) -> mat -> mat
val map_by_col : int -> (mat -> mat) -> mat -> mat
val mapi_at_row : (int -> int -> elt -> elt) -> mat -> int -> mat
val map_at_row : (elt -> elt) -> mat -> int -> mat
val mapi_at_col : (int -> int -> elt -> elt) -> mat -> int -> mat
val map_at_col : (elt -> elt) -> mat -> int -> mat
Examin elements and compare two matrices
val exists : (elt -> bool) -> mat -> bool
val not_exists : (elt -> bool) -> mat -> bool
val for_all : (elt -> bool) -> mat -> bool
val is_zero : mat -> bool
val is_positive : mat -> bool
val is_negative : mat -> bool
val is_nonpositive : mat -> bool
val is_nonnegative : mat -> bool
val equal : mat -> mat -> bool
val not_equal : mat -> mat -> bool
val greater : mat -> mat -> bool
val less : mat -> mat -> bool
val greater_equal : mat -> mat -> bool
val less_equal : mat -> mat -> bool
val elt_equal : mat -> mat -> mat
val elt_not_equal : mat -> mat -> mat
val elt_less : mat -> mat -> mat
val elt_greater : mat -> mat -> mat
val elt_less_equal : mat -> mat -> mat
val elt_greater_equal : mat -> mat -> mat
val equal_scalar : mat -> elt -> bool
val not_equal_scalar : mat -> elt -> bool
val less_scalar : mat -> elt -> bool
val greater_scalar : mat -> elt -> bool
val less_equal_scalar : mat -> elt -> bool
val greater_equal_scalar : mat -> elt -> bool
val elt_equal_scalar : mat -> elt -> mat
val elt_not_equal_scalar : mat -> elt -> mat
val elt_less_scalar : mat -> elt -> mat
val elt_greater_scalar : mat -> elt -> mat
val elt_less_equal_scalar : mat -> elt -> mat
val elt_greater_equal_scalar : mat -> elt -> mat
Randomisation functions
val draw_rows : ?replacement:bool -> mat -> int -> mat * int array
val draw_cols : ?replacement:bool -> mat -> int -> mat * int array
val draw_rows2 : ?replacement:bool -> mat -> mat -> int -> mat * mat * int array
val draw_cols2 : ?replacement:bool -> mat -> mat -> int -> mat * mat * int array
val shuffle_rows : mat -> mat
val shuffle_cols : mat -> mat
val shuffle : mat -> mat
Input/Output and helper functions
val to_array : mat -> elt array
val of_array : elt array -> int -> int -> mat
val to_arrays : mat -> elt array array
val of_arrays : elt array array -> mat
val to_ndarray : mat -> (Complex.t, Bigarray.complex32_elt) Owl_dense_ndarray_generic.t
val of_ndarray : (Complex.t, Bigarray.complex32_elt) Owl_dense_ndarray_generic.t -> mat
val to_rows : mat -> mat array
val of_rows : mat array -> mat
val to_cols : mat -> mat array
val of_cols : mat array -> mat
val print : mat -> unit
val pp_dsmat : mat -> unit
val save : mat -> string -> unit
val load : string -> mat
Unary mathematical operations
val re : mat -> cast_mat
val im : mat -> cast_mat
val inv : mat -> mat
val trace : mat -> elt
val sum : mat -> elt
val prod : mat -> elt
val average : mat -> elt
val sum_rows : mat -> mat
val sum_cols : mat -> mat
val average_rows : mat -> mat
val average_cols : mat -> mat
val abs : mat -> cast_mat
val abs2 : mat -> cast_mat
val conj : mat -> mat
val neg : mat -> mat
val reci : mat -> mat
val l1norm : mat -> float
val l2norm : mat -> float
val l2norm_sqr : mat -> float
Binary mathematical operations
val add : mat -> mat -> mat
val sub : mat -> mat -> mat
val mul : mat -> mat -> mat
val div : mat -> mat -> mat
val add_scalar : mat -> elt -> mat
val sub_scalar : mat -> elt -> mat
val mul_scalar : mat -> elt -> mat
val div_scalar : mat -> elt -> mat
val scalar_add : elt -> mat -> mat
val scalar_sub : elt -> mat -> mat
val scalar_mul : elt -> mat -> mat
val scalar_div : elt -> mat -> mat
val dot : mat -> mat -> mat
val add_diag : mat -> elt -> mat
val ssqr : mat -> elt -> elt
val ssqr_diff : mat -> mat -> elt
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