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C.Vectype t = vecval random :
?rnd_state:Random.State.t ->
?re_from:float ->
?re_range:float ->
?im_from:float ->
?im_range:float ->
int ->
vecrandom ?rnd_state ?re_from ?re_range ?im_from ?im_range n
val create : int -> veccreate n
val make0 : int -> vecmake0 n x
val empty : vecempty, the empty vector.
val dim : vec -> intdim x
val has_zero_dim : vec -> boolhas_zero_dim vec checks whether vector vec has a dimension of size zero. In this case it cannot contain data.
val map :
(Complex.t -> Complex.t) ->
?n:int ->
?ofsy:int ->
?incy:int ->
?y:vec ->
?ofsx:int ->
?incx:int ->
vec ->
vecmap f ?n ?ofsx ?incx x
iter ?n ?ofsx ?incx f x applies function f in turn to all elements of vector x.
iteri ?n ?ofsx ?incx f x same as iter but additionally passes the index of the element as first argument and the element itself as second argument.
fold f a ?n ?ofsx ?incx x is f (... (f (f a x.{ofsx}) x.{ofsx + incx}) ...) x.{ofsx + (n-1)*incx} if incx > 0 and the same in the reverse order of appearance of the x values if incx < 0.
max ?n ?ofsx ?incx x computes the greater of the n elements in vector x (2-norm), separated by incx incremental steps. NaNs are ignored. If only NaNs are encountered, the negative infinity value will be returned.
min ?n ?ofsx ?incx x computes the smaller of the n elements in vector x (2-norm), separated by incx incremental steps. NaNs are ignored. If only NaNs are encountered, the infinity value will be returned.
val sort :
?cmp:(Complex.t -> Complex.t -> int) ->
?decr:bool ->
?n:int ->
?ofsp:int ->
?incp:int ->
?p:(int, Bigarray.int_elt, Bigarray.fortran_layout) Bigarray.Array1.t ->
?ofsx:int ->
?incx:int ->
vec ->
unitsort ?cmp ?n ?ofsx ?incx x sorts the array x in increasing order according to the comparison function cmp.
fill ?n ?ofsx ?incx x a fills vector x with value a in the designated range.
sum ?n ?ofsx ?incx x computes the sum of the n elements in vector x, separated by incx incremental steps.
prod ?n ?ofsx ?incx x computes the product of the n elements in vector x, separated by incx incremental steps.
add_const c ?n ?ofsy ?incy ?y ?ofsx ?incx x adds constant c to the n elements of vector x and stores the result in y, using incx and incy as incremental steps respectively. If y is given, the result will be stored in there using increments of incy, otherwise a fresh vector will be used. The resulting vector is returned.
val sqr_nrm2 : ?stable:bool -> ?n:int -> ?ofsx:int -> ?incx:int -> vec -> floatsqr_nrm2 ?stable ?n ?c ?ofsx ?incx x computes the square of the 2-norm (Euclidean norm) of vector x separated by incx incremental steps. If stable is true, this is equivalent to squaring the result of calling the BLAS-function nrm2, which avoids over- and underflow if possible. If stable is false (default), dot will be called instead for greatly improved performance.
ssqr ?n ?c ?ofsx ?incx x computes the sum of squared differences of the n elements in vector x from constant c, separated by incx incremental steps. Please do not confuse with sqr_nrm2! The current function behaves differently with complex numbers when zero is passed in for c. It computes the square for each entry then, whereas sqr_nrm2 uses the conjugate transpose in the product. The latter will therefore always return a real number.
val neg : unopneg ?n ?ofsy ?incy ?y ?ofsx ?incx x negates n elements of the vector x using incx as incremental steps. If y is given, the result will be stored in there using increments of incy, otherwise a fresh vector will be used. The resulting vector is returned.
val reci : unopreci ?n ?ofsy ?incy ?y ?ofsx ?incx x computes the reciprocal value of n elements of the vector x using incx as incremental steps. If y is given, the result will be stored in there using increments of incy, otherwise a fresh vector will be used. The resulting vector is returned.
val add : binopadd ?n ?ofsz ?incz ?z ?ofsx ?incx x ?ofsy ?incy y adds n elements of vectors x and y elementwise, using incx and incy as incremental steps respectively. If z is given, the result will be stored in there using increments of incz, otherwise a fresh vector will be used. The resulting vector is returned.
val sub : binopsub ?n ?ofsz ?incz ?z ?ofsx ?incx x ?ofsy ?incy y subtracts n elements of vectors x and y elementwise, using incx and incy as incremental steps respectively. If z is given, the result will be stored in there using increments of incz, otherwise a fresh vector will be used. The resulting vector is returned.
val mul : binopmul ?n ?ofsz ?incz ?z ?ofsx ?incx x ?ofsy ?incy y multiplies n elements of vectors x and y elementwise, using incx and incy as incremental steps respectively. If z is given, the result will be stored in there using increments of incz, otherwise a fresh vector will be used. The resulting vector is returned.
val div : binopdiv ?n ?ofsz ?incz ?z ?ofsx ?incx x ?ofsy ?incy y divides n elements of vectors x and y elementwise, using incx and incy as incremental steps respectively. If z is given, the result will be stored in there using increments of incz, otherwise a fresh vector will be used. The resulting vector is returned.
val zpxy :
?n:int ->
?ofsz:int ->
?incz:int ->
vec ->
?ofsx:int ->
?incx:int ->
vec ->
?ofsy:int ->
?incy:int ->
vec ->
unitzpxy ?n ?ofsz ?incz z ?ofsx ?incx x ?ofsy ?incy y multiplies n elements of vectors x and y elementwise, using incx and incy as incremental steps respectively, and adds the result to and stores it in the specified range in z. This function is useful for convolutions.
val zmxy :
?n:int ->
?ofsz:int ->
?incz:int ->
vec ->
?ofsx:int ->
?incx:int ->
vec ->
?ofsy:int ->
?incy:int ->
vec ->
unitzmxy ?n ?ofsz ?incz z ?ofsx ?incx x ?ofsy ?incy y multiplies n elements of vectors x and y elementwise, using incx and incy as incremental steps respectively, and substracts the result from and stores it in the specified range in z. This function is useful for convolutions.