module Local:sig..end
Compute the task-local portions of certain operations.
val dotprod : ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> floatdotprod x y returns the dot product of x and y.
val maxnorm : ('d, 'k) Nvector.t -> floatmaxnorm x returns the maximum absolute value in x.
val min : ('d, 'k) Nvector.t -> floatmin x returns the smallest element in x.
val l1norm : ('d, 'k) Nvector.t -> floatl1norm x returns the l1 norm of x.
val invtest : ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> boolinvtest x z calculates z(i) = 1 / x(i) with prior testing for
zero values. This routine returns true if all components of x are
nonzero (successful inversion) and false otherwise (not all elements
inverted).
val constrmask : ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> boolconstrmask c x m calculates m(i) = Pi x(i) returning the
conjunction. The value of Pi depends on c(i): 2: x(i) > 0,
1: x(i) >= 0, 0: true, -1: x(i) <= 0, and -2: x(i) < 0.
val minquotient : ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> floatminquotient num denom returns the minimum of num(i) / denom(i).
Zero denom elements are skipped.
val wsqrsum : ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> floatwsqrsum x w calculates the weighted squared sum of x with
weight vector w.
That is, $s = \sum_{i=0}^{n_\mathit{local} - 1}(x_i w_i)^2$ .
val wsqrsummask : ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> ('d, 'k) Nvector.t -> floatwsqrsummask x w id calculates the weighted squared sum of x
with weight vector w for the elements where id is positive.
That is, $m =
\sum_{i=0}^{n_\mathit{local} - 1}(x_i w_i H(\math{id}_i))^2$
where $H(\alpha) = \begin{cases}
1 & \alpha > 0 \ 0 & \alpha \le 0
\end{cases} $ .
val dotprodmulti : ('d, 'k) Nvector.t ->
('d, 'k) Nvector.t array -> Sundials.RealArray.t -> unitdotprodmulti x yy d calculates the task-local portion
of the dot product of a vector x with vectors yy.
I.e., $d_j = \sum_{i=0}^{n_{\mathit{local}} - 1} x_i y_{j,i}$ .
val dotprodmulti_allreduce : ('d, 'k) Nvector.t -> Sundials.RealArray.t -> unitdotprodmulti_allreduce x d combines the task-local portions
of the dot product of a vector x with an array of vectors.
val has_dotprod : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.dotprod.
val has_maxnorm : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.maxnorm.
val has_min : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.min.
val has_l1norm : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.l1norm.
val has_invtest : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.invtest.
val has_constrmask : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.constrmask.
val has_minquotient : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.minquotient.
val has_wsqrsum : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.wsqrsum.
val has_wsqrsummask : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.wsqrsummask.
val has_dotprodmulti : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local Nvector.Ops.Local.dotprodmulti.
val has_dotprodmulti_allreduce : ('d, 'k) Nvector.t -> boolIndicates whether an nvector supports a local
Nvector.Ops.Local.dotprodmulti_allreduce.