GALAHAD SEC package#

purpose#

The sec package builds and updates dense BFGS and SR1 secant approximations to a Hessian so that the approximation \(B\) satisfies the secant condition \(B s = y\) for given vectors \(s\) and \(y\).

Currently only the options and inform dictionaries are exposed; these are provided and used by other GALAHAD packages with Python interfaces. Please contact us if you would like full functionality!

See Section 4 of $GALAHAD/doc/sec.pdf for a brief description of the method employed and other details.

parametric real type T#

Below, the symbol T refers to a parametric real type that may be Float32 (single precision) or Float64 (double precision). Calable functions as described are with T as Float64, but variants (with the additional suffix _s, e.g., sec_initialize_s) are available with T as Float32.

callable functions#

    function sec_initialize(control, status)

Set default control values and initialize private data

Parameters:

control

is a structure containing control information (see sec_control_type)

status

is a scalar variable of type Int32 that gives the exit status from the package. Possible values are (currently):

  • 0

    The initialization was successful.

    function sec_information(data, inform, status)

Provides output information

Parameters:

data

holds private internal data

inform

is a structure containing output information (see sec_inform_type)

status

is a scalar variable of type Int32 that gives the exit status from the package. Possible values are (currently):

  • 0

    The values were recorded successfully

    function sec_terminate(data, control, inform)

Deallocate all internal private storage

Parameters:

data

holds private internal data

control

is a structure containing control information (see sec_control_type)

inform

is a structure containing output information (see sec_inform_type)

available structures#

sec_control_type structure#

    struct sec_control_type{T}
      f_indexing::Bool
      error::Int32
      out::Int32
      print_level::Int32
      h_initial::T
      update_skip_tol::T
      prefix::NTuple{31,Cchar}

detailed documentation#

control derived type as a Julia structure

components#

Bool f_indexing

use C or Fortran sparse matrix indexing

Int32 error

error and warning diagnostics occur on stream error

Int32 out

general output occurs on stream out

Int32 print_level

the level of output required. <= 0 gives no output, >= 1 warning message

T h_initial

the initial Hessian approximation will be h_initial \* \(I\)

T update_skip_tol

an update is skipped if the resulting matrix would have grown too much; specifically it is skipped when y^T s / y^T y <= update_skip_tol.

NTuple{31,Cchar} prefix

all output lines will be prefixed by .prefix(2:LEN(TRIM(.prefix))-1) where .prefix contains the required string enclosed in quotes, e.g. “string” or ‘string’

sec_inform_type structure#

    struct sec_inform_type
      status::Int32

detailed documentation#

inform derived type as a Julia structure

components#

Int32 status

return status. Possible values are:

  • 0

    A successful return

  • -85

    An update is inappropriate and has been skipped