rkv89_class Derived Type

type, public, extends(rk_variable_step_class) :: rkv89_class

Verner 8(9)


Inherits

type~~rkv89_class~~InheritsGraph type~rkv89_class rkv89_class type~rk_variable_step_class rk_variable_step_class type~rkv89_class->type~rk_variable_step_class type~rk_class rk_class type~rk_variable_step_class->type~rk_class type~stepsize_class stepsize_class type~rk_variable_step_class->type~stepsize_class stepsize_method root_method root_method type~rk_class->root_method solver

Type-Bound Procedures

procedure, public :: destroy

destructor

  • private subroutine destroy(me)

    Destructor for rk_class.

    Arguments

    Type IntentOptional Attributes Name
    class(rk_class), intent(out) :: me

procedure, public :: stop => rk_class_stop

user-callable method to stop the integration

  • private subroutine rk_class_stop(me)

    User-callable method to stop the integration (e.g., from f, g, or report). No further function evaluations are done, and the integrator returns, with the status set to RKLIB_ERROR_USER_STOPPED. This is not treated as an error (i.e., it does not stop the program if stop_on_errors is true).

    Arguments

    Type IntentOptional Attributes Name
    class(rk_class), intent(inout) :: me

procedure, public :: status => rk_class_status

get status code and message

  • private subroutine rk_class_status(me, istatus, message)

    Get the status of an integration.

    Arguments

    Type IntentOptional Attributes Name
    class(rk_class), intent(in) :: me
    integer, intent(out), optional :: istatus

    status code (<0 means an error)

    character(len=:), intent(out), optional, allocatable :: message

    status message

procedure, public :: failed

  • private function failed(me)

    Returns true if there was an error. Can use rk_class_status to get more info.

    Arguments

    Type IntentOptional Attributes Name
    class(rk_class), intent(in) :: me

    Return Value logical

procedure, public :: interpolate

dense output for the last accepted step

  • private recursive subroutine interpolate(me, t, x, istatus)

    Dense output: compute the state at a time within the last accepted step, using the continuous extension of the method (if it has one, see rklib_properties dense).

    Read more…

    Arguments

    Type IntentOptional Attributes Name
    class(rk_class), intent(inout) :: me
    real(kind=wp), intent(in) :: t

    time at which to compute the state

    real(kind=wp), intent(out), dimension(me%n) :: x

    state at t

    integer, intent(out), optional :: istatus

    status of this call

procedure, public :: dense_interval

interval of the last accepted step for the dense output

  • private subroutine dense_interval(me, available, t0, tf, x0, xf)

    Returns the interval of the last accepted step, which is where interpolate can be used. For example, this can be called from the report function to get the previous time and state, so that points in between can be computed.

    Read more…

    Arguments

    Type IntentOptional Attributes Name
    class(rk_class), intent(inout) :: me
    logical, intent(out) :: available

    if dense output is available

    real(kind=wp), intent(out), optional :: t0

    initial time of the step

    real(kind=wp), intent(out), optional :: tf

    final time of the step

    real(kind=wp), intent(out), optional, dimension(me%n) :: x0

    initial state of the step

    real(kind=wp), intent(out), optional, dimension(me%n) :: xf

    final state of the step

procedure, public :: initialize => initialize_variable_step

initialize the class (set n,f, and report)

  • private subroutine initialize_variable_step(me, n, f, rtol, atol, stepsize_method, hinit_method, report, g, stop_on_errors, max_number_of_steps, report_rate, solver, dense_output, dense_output_step)

    Initialize the rk_variable_step_class.

    Arguments

    Type IntentOptional Attributes Name
    class(rk_variable_step_class), intent(inout) :: me
    integer, intent(in) :: n

    number of equations

    procedure(deriv_func) :: f

    derivative function

    real(kind=wp), intent(in), optional, dimension(:) :: rtol

    relative tolerance (if size=1, then same tol used for all equations). If not present, a default of 100*eps is used

    real(kind=wp), intent(in), optional, dimension(:) :: atol

    absolute tolerance (if size=1, then same tol used for all equations). If not present, a default of 100*eps is used

    type(stepsize_class), intent(in), optional :: stepsize_method

    method for varying the step size

    integer, intent(in), optional :: hinit_method

    which method (1 or 2) to use for automatic initial step size computation. 1 = use hstart, 2 = use hinit.

    procedure(report_func), optional :: report

    for reporting the steps

    procedure(event_func), optional :: g

    for stopping at an event

    logical, intent(in), optional :: stop_on_errors

    stop the program for any errors (default is False)

    integer, intent(in), optional :: max_number_of_steps

    max number of steps allowed

    integer, intent(in), optional :: report_rate

    how often to call report function: 0 : no reporting (same as not associating report), 1 : report every point, 2 : report every other point, etc. The first and last point are always reported.

    class(root_method), intent(in), optional :: solver

    the root-finding method to use for even finding. if not present, then brent_solver is used.

    logical, intent(in), optional :: dense_output

    to enable the dense output (default is False, unless dense_output_step is present and not zero). If enabled, interpolate can be used (e.g., from the report function), and the dense output is also used for event location in integrate_to_event_variable_step. The method must have a dense output. When not enabled, there is no overhead for the dense output.

    real(kind=wp), intent(in), optional :: dense_output_step

    if present and not zero, the points are reported at this fixed time interval (starting from the initial time), using the dense output of the method, rather than at the steps taken by the integrator. The first and last point are also reported (so the last interval will generally be shorter). This is only used if report is present and report_rate>0 (report_rate is otherwise ignored). The method must have a dense output. This automatically enables the dense output (it is an error if dense_output=.false. is also specified).

procedure, public :: integrate => integrate_variable_step

  • private subroutine integrate_variable_step(me, t0, x0, h, tf, xf)

    Main integration routine for the rk_variable_step_class.

    Arguments

    Type IntentOptional Attributes Name
    class(rk_variable_step_class), intent(inout) :: me
    real(kind=wp), intent(in) :: t0

    initial time

    real(kind=wp), intent(in), dimension(:) :: x0

    initial state

    real(kind=wp), intent(in) :: h

    initial abs(time step)

    real(kind=wp), intent(in) :: tf

    final time

    real(kind=wp), intent(out), dimension(:) :: xf

    final state

procedure, public :: integrate_to_event => integrate_to_event_variable_step

  • private subroutine integrate_to_event_variable_step(me, t0, x0, h, tmax, tol, tf, xf, gf)

    Event-finding integration routine for the rk_variable_step_class. Integrates until g(t,x)=0, or until t=tf (whichever happens first).

    Read more…

    Arguments

    Type IntentOptional Attributes Name
    class(rk_variable_step_class), intent(inout) :: me
    real(kind=wp), intent(in) :: t0

    initial time

    real(kind=wp), intent(in), dimension(me%n) :: x0

    initial state

    real(kind=wp), intent(in) :: h

    abs(time step)

    real(kind=wp), intent(in) :: tmax

    max final time if event not located

    real(kind=wp), intent(in) :: tol

    function tolerance for root finding

    real(kind=wp), intent(out) :: tf

    actual final time reached

    real(kind=wp), intent(out), dimension(me%n) :: xf

    final state (at tf)

    real(kind=wp), intent(out) :: gf

    g value at tf

procedure, public :: info => info_variable_step

  • private subroutine info_variable_step(me, num_steps, num_rejected_steps, last_accepted_step_size)

    Return some info about the integration.

    Arguments

    Type IntentOptional Attributes Name
    class(rk_variable_step_class), intent(in) :: me
    integer, intent(out), optional :: num_steps

    number of steps taken

    integer, intent(out), optional :: num_rejected_steps

    number of rejected steps

    real(kind=wp), intent(out), optional :: last_accepted_step_size

    the last accepted step size dt from the integration (positive or negative)

procedure, public :: destroy_fsal_cache

procedure, public :: check_fsal_cache

  • private subroutine check_fsal_cache(me, t, x, f)

    Compute the function at t and x, or get it from the function evaluation cache if it is there (see set_fsal_cache). This is used by all the variable-step methods for the first stage of a step. It may already be in the cache because:

    Read more…

    Arguments

    Type IntentOptional Attributes Name
    class(rk_variable_step_class), intent(inout) :: me
    real(kind=wp), intent(in) :: t
    real(kind=wp), intent(in), dimension(:) :: x
    real(kind=wp), intent(out), dimension(:) :: f

procedure, public :: set_fsal_cache

  • private subroutine set_fsal_cache(me, t, x, f)

    Compute the function and add it to the function evaluation cache, so that it can be reused by the next step (see check_fsal_cache). This is used for f at the end of a step: by the first-same-as-last (FSAL) methods (the last stage of the step), and by the methods whose dense output needs it as one of its extra stages (see dense_extra_stages).

    Read more…

    Arguments

    Type IntentOptional Attributes Name
    class(rk_variable_step_class), intent(inout) :: me
    real(kind=wp), intent(in) :: t
    real(kind=wp), intent(in), dimension(:) :: x
    real(kind=wp), intent(out), dimension(:) :: f

procedure, public :: step => rkv89

  • interface

    private module subroutine rkv89(me, t, x, h, xf, xerr)

    Arguments

    Type IntentOptional Attributes Name
    class(rkv89_class), intent(inout) :: me
    real(kind=wp), intent(in) :: t

    initial time

    real(kind=wp), intent(in), dimension(me%n) :: x

    initial state

    real(kind=wp), intent(in) :: h

    time step

    real(kind=wp), intent(out), dimension(me%n) :: xf

    state at time t+h

    real(kind=wp), intent(out), dimension(me%n) :: xerr

    truncation error estimate for x

procedure, public :: properties => rkv89_properties

  • interface

    private pure module function rkv89_properties(me) result(p)

    Arguments

    Type IntentOptional Attributes Name
    class(rkv89_class), intent(in) :: me

    Return Value type(rklib_properties)

    properties of the method