module Spils:sig
..end
Scaled Preconditioned Iterative Linear Solvers.
include Sundials_LinearSolver.Iterative
type 'd
prec_solve_arg = {
|
rhs : |
(* | Right-hand side vector of the linear system. | *) |
|
gamma : |
(* | Scalar $\gamma$ in the Newton matrix given by $M = I - \gamma J$. | *) |
|
delta : |
(* | Input tolerance for iterative methods. | *) |
|
left : |
(* |
| *) |
}
Arguments passed to the preconditioner solver function.
type'd
prec_solve_fn =(unit, 'd) Cvode.jacobian_arg -> 'd prec_solve_arg -> 'd -> unit
Callback functions that solve a linear system involving a
preconditioner matrix. In the call prec_solve_fn jac arg z
,
jac
is a Cvode.jacobian_arg
with no work vectors, arg
is
a Cvode.Spils.prec_solve_arg
that specifies the linear system, and z
is
computed to solve $P\mathtt{z} = \mathtt{arg.rhs}$.
$P$ is a preconditioner matrix, which approximates, however crudely,
the Newton matrix $M = I - \gamma J$ where
$J = \frac{\partial f}{\partial y}$.
Raising Sundials.RecoverableFailure
indicates a recoverable error.
Any other exception is treated as an unrecoverable error.
jac
, arg
, and z
should not
be accessed after the function has returned.type'd
prec_setup_fn =(unit, 'd) Cvode.jacobian_arg -> bool -> float -> bool
Callback functions that preprocess or evaluate Jacobian-related data
needed by Cvode.Spils.prec_solve_fn
. In the call prec_setup_fn jac jok gamma
,
jac
is a Cvode.jacobian_arg
with no work vectors, jok
indicates
whether any saved Jacobian-related data can be reused with the current
value of gamma
, and gamma
is the scalar $\gamma$ in the Newton
matrix $M = I - \gamma J$ where $J$ is the Jacobian matrix.
A function should return true
if Jacobian-related data was updated
and false
if saved data was reused.
Raising Sundials.RecoverableFailure
indicates a recoverable error.
Any other exception is treated as an unrecoverable error.
jac
should not be accessed after the
function has returned.type('d, 'k)
preconditioner =('d, 'k) SpilsTypes.preconditioner
Specifies a preconditioner, including the type of preconditioning
(none, left, right, or both) and callback functions.
The following functions and those in Cvode.Spils.Banded
and Cvode_bbd
construct preconditioners.
The Cvode.Spils.prec_solve_fn
is mandatory. The Cvode.Spils.prec_setup_fn
can be
omitted if not needed.
val prec_none : ('d, 'k) preconditioner
No preconditioning.
val prec_left : ?setup:'d prec_setup_fn ->
'd prec_solve_fn -> ('d, 'k) preconditioner
Left preconditioning. $(P^{-1}A)x = P^{-1}b$ .
val prec_right : ?setup:'d prec_setup_fn ->
'd prec_solve_fn -> ('d, 'k) preconditioner
Right preconditioning. $(AP^{-1})Px = b$ .
val prec_both : ?setup:'d prec_setup_fn ->
'd prec_solve_fn -> ('d, 'k) preconditioner
Left and right preconditioning. $(P_L^{-1}AP_R^{-1})P_Rx = P_L^{-1}b$
module Banded:sig
..end
Banded preconditioners.
type'd
jac_times_setup_fn =(unit, 'd) Cvode.jacobian_arg -> unit
Callback functions that preprocess or evaluate Jacobian-related data
needed by the jac_times_vec_fn. In the call jac_times_setup_fn arg
,
arg
is a Cvode.jacobian_arg
with no work vectors.
Raising Sundials.RecoverableFailure
indicates a recoverable error.
Any other exception is treated as an unrecoverable error.
arg
should not be accessed after the
function has returned.type'd
jac_times_vec_fn =('d, 'd) Cvode.jacobian_arg -> 'd -> 'd -> unit
Callback functions that compute the Jacobian times a vector. In the
call jac_times_vec_fn arg v jv
, arg
is a Cvode.jacobian_arg
with one
work vector, v
is the vector multiplying the Jacobian, and jv
is
the vector in which to store the
result—$\mathtt{jv} = J\mathtt{v}$.
Raising Sundials.RecoverableFailure
indicates a recoverable error.
Any other exception is treated as an unrecoverable error.
arg
nor v
or jv
should be
accessed after the function has returned.val solver : ('m, 'd, 'k, [> `Iter ]) Sundials.LinearSolver.t ->
?jac_times_vec:'d jac_times_setup_fn option *
'd jac_times_vec_fn ->
?jac_times_rhs:'d Cvode.rhsfn ->
('d, 'k) preconditioner -> ('d, 'k) Cvode.linear_solver
Create a Cvode-specific linear solver from a generic iterative linear solver.
The jac_times_rhs
argument specifies an alternative right-hand-side
function for use in the internal Jacobian-vector product difference
quotient approximation. It is incorrect to specify both this argument
and jac_times_vec
.
NB: a jac_times_vec
function is not supported in
Config.sundials_version < 3.0.0.
NB: a jac_times_rhs
function is not supported in
Config.sundials_version < 5.3.0.
val set_jac_eval_frequency : ('d, 'k) Cvode.session -> int -> unit
Sets the maximum number of time steps to wait before recomputation of the Jacobian or recommendation to update the preconditioner. If the integer argument is less than or equal to 0, a default value of 50 is used.
val set_lsetup_frequency : ('d, 'k) Cvode.session -> int -> unit
Specifies the frequency of calls to the linear solver setup routine. Positive values specify the number of time steps between setup calls, negative values force recomputation at each Newton step, and zero values reset to the default (20).
val set_linear_solution_scaling : ('d, 'k) Cvode.session -> bool -> unit
Enables or disables scaling of the linear system solution to account for a change in $\gamma$ in the linear system. Linear solution scaling is enabled by default when a matrix-based linear solver is attached.
val set_eps_lin : ('d, 'k) Cvode.session -> float -> unit
Sets the factor by which the Krylov linear solver's convergence test constant is reduced from the Newton iteration test constant. This factor must be >= 0; passing 0 specifies the default (0.05).
val set_ls_norm_factor : ('d, 'k) Cvode.session -> float -> unit
Sets the factor for converting from the integrator tolerance (WRMS norm) to the linear solver tolerance (L2 norm). That is, $\mathit{tol}_{\mathsf{L2}} = \mathit{fact}\cdot\mathit{tol}_{\mathsf{WRMS}}$ . The given value is used directly if it is greater than zero. If it is zero (the default), then the square root of the state vector length is used. If it is less than zero, then the square root of the dot product of a state vector full of ones with itself is used.
val get_work_space : ('d, 'k) Cvode.session -> int * int
Returns the sizes of the real and integer workspaces used by the spils linear solver.
real_size
, integer_size
)val get_num_lin_iters : ('d, 'k) Cvode.session -> int
Returns the cumulative number of linear iterations.
val get_num_lin_conv_fails : ('d, 'k) Cvode.session -> int
Returns the cumulative number of linear convergence failures.
val get_num_prec_evals : ('d, 'k) Cvode.session -> int
Returns the cumulative number of calls to the setup function with
jok=false
.
val get_num_prec_solves : ('d, 'k) Cvode.session -> int
Returns the cumulative number of calls to the preconditioner solve function.
val get_num_jtsetup_evals : ('d, 'k) Cvode.session -> int
Returns the cumulative number of calls to the Jacobian-vector setup function.
val get_num_jtimes_evals : ('d, 'k) Cvode.session -> int
Returns the cumulative number of calls to the Jacobian-vector function.
val get_num_lin_rhs_evals : ('d, 'k) Cvode.session -> int
Returns the number of calls to the right-hand side callback for finite difference Jacobian-vector product approximation. This counter is only updated if the default difference quotient function is used.
The Cvode.init
and Cvode.reinit
functions are the preferred way to set or
change preconditioner functions. These low-level functions are provided
for experts who want to avoid resetting internal counters and other
associated side-effects.
val set_preconditioner : ('d, 'k) Cvode.session ->
?setup:'d prec_setup_fn -> 'd prec_solve_fn -> unit
Change the preconditioner functions.
val set_jac_times : ('d, 'k) Cvode.session ->
?jac_times_setup:'d jac_times_setup_fn ->
'd jac_times_vec_fn -> unit
Change the Jacobian-times-vector function.
NB: the jac_times_setup
argument is not supported in
Config.sundials_version < 3.0.0.
val clear_jac_times : ('d, 'k) Cvode.session -> unit
Remove a Jacobian-times-vector function and use the default implementation.