Module `Slap_mat`

Slap.Mat provides operations on sized matrices.

type (+'m, +'n, 'num, 'prec, +'cnt_or_dsc) t

('m, 'n, 'num, 'prec) mat is the type of 'm-by-'n matrix whose elements have OCaml type 'num, representation kind 'prec and memory contiguity 'cnt_or_dsc. The internal implementation is fortran-style two-dimensional big array.

val cnt : 
  ('m, 'n, 'num, 'prec, Slap_misc.cnt) t ->
  ('m, 'n, 'num, 'prec, 'cnt) t

Recover polymorphism of the fifth type parameter.

Creation of matrices

val create : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  ('m, 'n, 'num, 'prec, 'cnt) t

create kind m n

returns
a fresh m-by-n matrix (not initialized).

val make : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  'num ->
  ('m, 'n, 'num, 'prec, 'cnt) t

make kind m n x

returns
a fresh m-by-n matrix initialized with x.

val init : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  (int -> int -> 'num) ->
  ('m, 'n, 'num, 'prec, 'cnt) t

An alias of init_cols.

val init_cols : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  (int -> int -> 'num) ->
  ('m, 'n, 'num, 'prec, 'cnt) t

init_cols kind m n f returns a fresh m-by-n matrix whose the (i,j) element is initialized by the result of calling f i j. The elements are passed column-wise.

val init_rows : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  (int -> int -> 'num) ->
  ('m, 'n, 'num, 'prec, 'cnt) t

init_rows kind m n f returns a fresh m-by-n matrix whose the (i,j) element is initialized by the result of calling f i j. The elements are passed row-wise.

Accessors

val kind : ('m, 'n, 'num, 'prec, 'cd) t -> ('num, 'prec) Bigarray.kind

returns
the kind of the given big array.

val dim : ('m, 'n, 'num, 'prec, 'cd) t -> 'm Slap_size.t * 'n Slap_size.t

dim a is (dim1 a, dim2 a).

val dim1 : ('m, 'n, 'num, 'prec, 'cd) t -> 'm Slap_size.t

dim1 a

returns
the number of rows in a.

val dim2 : ('m, 'n, 'num, 'prec, 'cd) t -> 'n Slap_size.t

dim1 a

returns
the number of columns in a.

val get_dyn : ('m, 'n, 'num, 'prec, 'cd) t -> int -> int -> 'num

get_dyn a i j

returns
the (i,j) element of the matrix a.

val set_dyn : ('m, 'n, 'num, 'prec, 'cd) t -> int -> int -> 'num -> unit

set_dyn a i j x assigns x to the (i,j) element of the matrix a.

val unsafe_get : ('m, 'n, 'num, 'prec, 'cd) t -> int -> int -> 'num

Like Slap_mat.get_dyn, but size checking is not always performed.

val unsafe_set : ('m, 'n, 'num, 'prec, 'cd) t -> int -> int -> 'num -> unit

Like Slap_mat.set_dyn, but size checking is not always performed.

val replace_dyn : 
  ('m, 'n, 'num, 'prec, 'cd) t ->
  int ->
  int ->
  ('num -> 'num) ->
  unit

replace_dyn a i j f is set a i j (f (get a i j)).

val col_dyn : 
  ('m, 'n, 'num, 'prec, 'cd) t ->
  int ->
  ('m, 'num, 'prec, 'cnt) Slap_vec.t

col_dyn a i

returns
the i-th column of the matrix a. The data are shared.

val row_dyn : 
  ('m, 'n, 'num, 'prec, 'cd) t ->
  int ->
  ('n, 'num, 'prec, Slap_misc.dsc) Slap_vec.t

row_dyn a i

returns
the i-th row of the matrix a. The data are shared.

val diag : 
  ('n, 'n, 'num, 'prec, 'cd) t ->
  ('n, 'num, 'prec, Slap_misc.dsc) Slap_vec.t

diag a

returns
the diagonal elements of the square matrix a. The data are shared.

val diag_rect : 
  ('m, 'n, 'num, 'prec, 'cd) t ->
  (('m, 'n) Slap_size.min, 'num, 'prec, Slap_misc.dsc) Slap_vec.t

diag_rect a

returns
the diagonal elements of the rectangular matrix a. The data are shared.

since 1.0.0

val as_vec : 
  ('m, 'n, 'num, 'prec, Slap_misc.cnt) t ->
  (('m, 'n) Slap_size.mul, 'num, 'prec, 'cnt) Slap_vec.t

as_vec a

returns
the vector containing all elements of the matrix in column-major order. The data are shared.

Basic operations

val fill : ('m, 'n, 'num, 'prec, 'cd) t -> 'num -> unit

Fill the given matrix with the given value.

val copy : 
  ?b:('m, 'n, 'num, 'prec, 'b_cd) t ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  ('m, 'n, 'num, 'prec, 'b_cd) t

copy ?b a copies the matrix a into the matrix b.

returns
b, which is overwritten.

parameter b
default = a fresh matrix.

Matrix transformations

val packed : 
  ?up:bool ->
  ?x:('n Slap_size.packed, 'num, 'prec, Slap_misc.cnt) Slap_vec.t ->
  ('n, 'n, 'num, 'prec, 'cd) t ->
  ('n Slap_size.packed, 'num, 'prec, 'cnt) Slap_vec.t

packed ?up ?x a transforms triangular matrix a into packed storage format.

returns
vector x, which is overwritten.

parameter up
default = true
- If up = true, then the upper triangular part of a is packed;
- If up = false, then the lower triangular part of a is packed.

since 0.2.0

val unpacked : 
  ?up:bool ->
  ?fill_num:'num option ->
  ?a:('n, 'n, 'num, 'prec, 'cd) t ->
  ('n Slap_size.packed, 'num, 'prec, Slap_misc.cnt) Slap_vec.t ->
  ('n, 'n, 'num, 'prec, 'cd) t

unpacked ?up ?fill_num ?a x generates an upper or lower triangular matrix from x stored in packed storage.

returns
matrix a, which is overwritten.

parameter up
default = true
- If up = true, then the upper triangular matrix is generated;
- If up = false, then the lower triangular matrix is generated.

parameter fill_num
default = None (Note: The default value in Slap.[SDCZ].Mat.unpacked is Some 0, not None.)
- If fill_num = None, the elements in the generated matrix are not initialized;
- If fill_num = Some c, the elements in the generated matrix are initialized by c.

since 0.2.0

val geband_dyn : 
  'kl Slap_size.t ->
  'ku Slap_size.t ->
  ?b:(('m, 'n, 'kl, 'ku) Slap_size.geband, 'n, 'num, 'prec, 'b_cd) t ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  (('m, 'n, 'kl, 'ku) Slap_size.geband, 'n, 'num, 'prec, 'b_cd) t

geband_dyn kl ku ?b a converts matrix a into a matrix stored in band storage.

returns
matrix b, which is overwritten.

parameter kl
the number of subdiagonals

parameter ku
the number of superdiagonals

raises Invalid_arg
if kl >= dim1 a or ku >= dim2 a.

since 0.2.0

val ungeband : 
  'm Slap_size.t ->
  'kl Slap_size.t ->
  'ku Slap_size.t ->
  ?fill_num:'num option ->
  ?a:('m, 'n, 'num, 'prec, 'a_cd) t ->
  (('m, 'n, 'kl, 'ku) Slap_size.geband, 'n, 'num, 'prec, 'b_cd) t ->
  ('m, 'n, 'num, 'prec, 'a_cd) t

ungeband m kl ku ?a b converts matrix b stored in band storage into a matrix stored in the normal order.

returns
matrix a, which is overwritten.

parameter m
the number of rows in a

parameter kl
the number of subdiagonals

parameter ku
the number of superdiagonals

parameter fill_num
default = None (Note: The default value in Slap.[SDCZ].Mat.ungeband_dyn is Some 0, not None.)
- If fill_num = None, the elements in the generated matrix are not initialized;
- If fill_num = Some c, the elements in the generated matrix are initialized by c.

since 0.2.0

val syband_dyn : 
  'kd Slap_size.t ->
  ?up:bool ->
  ?b:(('n, 'kd) Slap_size.syband, 'n, 'num, 'prec, 'b_cd) t ->
  ('n, 'n, 'num, 'prec, 'a_cd) t ->
  (('n, 'kd) Slap_size.syband, 'n, 'num, 'prec, 'b_cd) t

syband_dyn kd ?b a converts matrix a into a matrix stored in symmetric or Hermitian band storage.

returns
matrix b, which is overwritten.

parameter kd
the number of subdiagonals or superdiagonals

parameter up
default = true
- If up = true, then the upper triangular part of a is used;
- If up = false, then the lower triangular part of a is used.

raises Invalid_arg
if kd >= dim1 a.

since 0.2.0

val unsyband : 
  'kd Slap_size.t ->
  ?up:bool ->
  ?fill_num:'num option ->
  ?a:('n, 'n, 'num, 'prec, 'a_cd) t ->
  (('n, 'kd) Slap_size.syband, 'n, 'num, 'prec, 'b_cd) t ->
  ('n, 'n, 'num, 'prec, 'a_cd) t

unsyband kd ?a b converts matrix b stored in symmetric or Hermitian band storage into a matrix stored in the normal order.

returns
matrix a, which is overwritten.

parameter kd
the number of subdiagonals or superdiagonals

parameter up
default = true
- If up = true, then b is treated as the upper triangular part of symmetric or Hermitian matrix a;
- If up = false, then b is treated as the lower triangular part of symmetric or Hermitian matrix a;

parameter fill_num
default = None (Note: The default value in Slap.[SDCZ].Mat.unsyband_dyn is Some 0, not None.)
- If fill_num = None, the elements in the generated matrix are not initialized;
- If fill_num = Some c, the elements in the generated matrix are initialized by c.

since 0.2.0

val luband_dyn : 
  'kl Slap_size.t ->
  'ku Slap_size.t ->
  ?ab:(('m, 'n, 'kl, 'ku) Slap_size.luband, 'n, 'num, 'prec, 'b_cd) t ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  (('m, 'n, 'kl, 'ku) Slap_size.luband, 'n, 'num, 'prec, 'b_cd) t

luband_dyn kl ku ?ab a converts matrix a into a matrix stored in band storage for LU factorization.

returns
matrix ab, which is overwritten.

parameter kl
the number of subdiagonals

parameter ku
the number of superdiagonals

raises Invalid_arg
if kl >= dim1 a or ku >= dim2 a.

since 0.2.0

val unluband : 
  'm Slap_size.t ->
  'kl Slap_size.t ->
  'ku Slap_size.t ->
  ?fill_num:'num option ->
  ?a:('m, 'n, 'num, 'prec, 'a_cd) t ->
  (('m, 'n, 'kl, 'ku) Slap_size.luband, 'n, 'num, 'prec, 'b_cd) t ->
  ('m, 'n, 'num, 'prec, 'a_cd) t

unluband m kl ku ?a ab converts matrix ab stored in band storage for LU factorization into a matrix stored in the normal order.

returns
matrix a, which is overwritten.

parameter m
the number of rows in a

parameter kl
the number of subdiagonals

parameter ku
the number of superdiagonals

parameter fill_num
default = None (Note: The default value in Slap.[SDCZ].Mat.unluband_dyn is Some 0, not None.)
- If fill_num = None, the elements in the generated matrix are not initialized;
- If fill_num = Some c, the elements in the generated matrix are initialized by c.

since 0.2.0

Iterators

val map : 
  ('b_num, 'b_prec) Bigarray.kind ->
  ('a_num -> 'b_num) ->
  ?b:('m, 'n, 'b_num, 'b_prec, 'b_cd) t ->
  ('m, 'n, 'a_num, 'a_prec, 'a_cd) t ->
  ('m, 'n, 'b_num, 'b_prec, 'b_cd) t

val mapi : 
  ('b_num, 'b_prec) Bigarray.kind ->
  (int -> int -> 'a_num -> 'b_num) ->
  ?b:('m, 'n, 'b_num, 'b_prec, 'b_cd) t ->
  ('m, 'n, 'a_num, 'a_prec, 'a_cd) t ->
  ('m, 'n, 'b_num, 'b_prec, 'b_cd) t

val fold_left : 
  ('accum -> ('m, 'num, 'prec, 'x_cd) Slap_vec.t -> 'accum) ->
  'accum ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum

fold_left f init a folds column vectors of matrix a by f in the order left to right.

val fold_lefti : 
  (int -> 'accum -> ('m, 'num, 'prec, 'x_cd) Slap_vec.t -> 'accum) ->
  'accum ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum

fold_lefti f init a folds column vectors of matrix a by f in the order left to right.

val fold_right : 
  (('m, 'num, 'prec, 'x_cd) Slap_vec.t -> 'accum -> 'accum) ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum ->
  'accum

fold_right f a init folds column vectors of matrix a by f in the order right to left.

val fold_righti : 
  (int -> ('m, 'num, 'prec, 'x_cd) Slap_vec.t -> 'accum -> 'accum) ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum ->
  'accum

fold_righti f a init folds column vectors of matrix a by f in the order right to left.

val fold_top : 
  ('accum -> ('n, 'num, 'prec, Slap_misc.dsc) Slap_vec.t -> 'accum) ->
  'accum ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum

fold_top f init a folds row vectors of matrix a by f in the order top to bottom.

val fold_topi : 
  (int -> 'accum -> ('n, 'num, 'prec, Slap_misc.dsc) Slap_vec.t -> 'accum) ->
  'accum ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum

fold_topi f init a folds row vectors of matrix a by f in the order top to bottom.

val fold_bottom : 
  (('n, 'num, 'prec, Slap_misc.dsc) Slap_vec.t -> 'accum -> 'accum) ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum ->
  'accum

fold_bottom f a init folds row vectors of matrix a by f in the order bottom to top.

val fold_bottomi : 
  (int -> ('n, 'num, 'prec, Slap_misc.dsc) Slap_vec.t -> 'accum -> 'accum) ->
  ('m, 'n, 'num, 'prec, 'a_cd) t ->
  'accum ->
  'accum

fold_bottomi f a init folds row vectors of matrix a by f in the order bottom to top.

val replace_all : ('m, 'n, 'num, 'prec, 'cd) t -> ('num -> 'num) -> unit

replace_all a f modifies the matrix a in place -- the (i,j)-element aij of a will be set to f aij.

val replace_alli : 
  ('m, 'n, 'num, 'prec, 'cd) t ->
  (int -> int -> 'num -> 'num) ->
  unit

replace_all a f modifies the matrix a in place -- the (i,j)-element aij of a will be set to f i j aij.

Type conversion

val to_array : ('m, 'n, 'num, 'prec, 'cd) t -> 'num array array

to_array a

returns
the array of arrays of all the elements of a.

val of_array_dyn : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  'num array array ->
  ('m, 'n, 'num, 'prec, 'cnt) t

Build a matrix initialized from the given array of arrays.

raises Invalid_argument
the given array of arrays is not rectangular or its size is not m-by-n.

val unsafe_of_array : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  'num array array ->
  ('m, 'n, 'num, 'prec, 'cnt) t

Like of_array_dyn, but size checking is not always performed.

since 1.0.0

val to_list : ('m, 'n, 'num, 'prec, 'cd) t -> 'num list list

to_list a

returns
the list of lists of all the elements of a.

val of_list_dyn : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  'num list list ->
  ('m, 'n, 'num, 'prec, 'cnt) t

Build a matrix initialized from the given list of lists.

raises Invalid_argument
the given list of lists is not rectangular or its size is not m-by-n.

val unsafe_of_list : 
  ('num, 'prec) Bigarray.kind ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  'num list list ->
  ('m, 'n, 'num, 'prec, 'cnt) t

Like of_list_dyn, but size checking is not always performed.

since 1.0.0

val to_bigarray : 
  ('m, 'n, 'num, 'prec, 'cd) t ->
  ('num, 'prec, Bigarray.fortran_layout) Bigarray.Array2.t

to_bigarray a

returns
the big array of all the elements of the matrix a.

since 1.0.0

val of_bigarray_dyn : 
  ?share:bool ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  ('num, 'prec, Bigarray.fortran_layout) Bigarray.Array2.t ->
  ('m, 'n, 'num, 'prec, 'cnt) t

of_bigarray_dyn ?share m n ba

raises Invalid_argument
the size of the given big array is not equal to m-by-n.

returns
a fresh matrix of all the elements of big array ba.

parameter share
true if data are shared. (default = false)

since 1.0.0

val unsafe_of_bigarray : 
  ?share:bool ->
  'm Slap_size.t ->
  'n Slap_size.t ->
  ('num, 'prec, Bigarray.fortran_layout) Bigarray.Array2.t ->
  ('m, 'n, 'num, 'prec, 'cnt) t

Like of_bigarray_dyn, but size checking is not always performed.

since 1.0.0

Submatrices

val submat_dyn : 
  'm Slap_size.t ->
  'n Slap_size.t ->
  ?ar:int ->
  ?ac:int ->
  (_, _, 'num, 'prec, 'cd) t ->
  ('m, 'n, 'num, 'prec, Slap_misc.dsc) t

submat_dyn m n ?ar ?ac a

returns
a m-by-n submatrix of the matrix a. The (i,j) element of the returned matrix refers the (ar+i-1,ac+j-1) element of a. The data are shared.

parameter ar
default = 1

parameter ac
default = 1

Utilities

val dim_array_array : 'a array array -> (int * int) option

dim_array_array aa returns Some (n_rows, n_cols) with the number of rows n_rows and the number of columns n_cols of the given array of arrays. (0, 0) is returned if aa is an empty array. None is returned if aa is not rectangular.

val dim_list_list : 'a list list -> (int * int) option

dim_list list ll returns Some (n_rows, n_cols) with the number of rows n_rows and the number of columns n_cols of the given list of lists. (0, 0) is returned if ll is an empty list. None is returned if ll is not rectangular.

Install

dune-project
Dependency

Authors

Maintainers

Sources

doc/slap/Slap_mat/index.html

Module `Slap_mat`

Creation of matrices

Accessors

Basic operations

Matrix transformations

Iterators

Type conversion

Submatrices

Utilities

package slap

Install

dune-project Dependency

Authors

Maintainers

Sources

doc/slap/Slap_mat/index.html

Module Slap_mat

Creation of matrices

Accessors

Basic operations

Matrix transformations

Iterators

Type conversion

Submatrices

Utilities

dune-project
Dependency

Module `Slap_mat`