GALAHAD LMS package#
purpose#
Given a sequence of vectors
\(\{s_k\}\) and \(\{y_k\}\) and scale factors \(\{\delta_k\}\),
the lms
package
obtains the product of a limited-memory secant approximation
\(H_k\) (or its inverse) with a given vector,
using one of a variety of well-established formulae.
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/lms.pdf for additional details.
method#
Given a sequence of vectors \(\{s_k\}\) and \(\{y_k\}\) and scale factors \(\delta_k\), a limited-memory secant approximation \(H_k\) is chosen so that \(H_{\max(k-m,0)} = \delta_k I\), \(H_{k-j} s_{k-j} = y_{k-j}\) and \(\| H_{k-j+1} - H_{k-j}\|\) is ``small’’ for \(j = \min(k-1,m-1), \ldots, 0\). Different ways of quantifying ``small’’ distinguish different methods, but the crucial observation is that it is possible to construct \(H_k\) quickly from \(\{s_k\}\), \(\{y_k\}\) and \(\delta_k\), and to apply it and its inverse to a given vector \(v\). It is also possible to apply similar formulae to the ``shifted’’ matrix \(H_k + \lambda_k I\) that occurs in trust-region methods.
reference#
The basic methods are those given by
with obvious extensions.
parametric real type T#
Below, the symbol T refers to a parametric real type that may be Float32 (single precision), Float64 (double precision) or, if supported, Float128 (quadruple precision).
callable functions#
function lms_initialize(T, data, control, status)
Parameters:
data |
holds private internal data |
control |
is a structure containing control information (see lms_control_type) |
status |
is a scalar variable of type Int32 that gives the exit status from the package. Possible values are (currently):
|
function lms_information(T, data, inform, status)
Provides output information
Parameters:
data |
holds private internal data |
inform |
is a structure containing output information (see lms_inform_type) |
status |
is a scalar variable of type Int32 that gives the exit status from the package. Possible values are (currently):
|
function lms_terminate(T, data, control, inform)
Deallocate all internal private storage
Parameters:
data |
holds private internal data |
control |
is a structure containing control information (see lms_control_type) |
inform |
is a structure containing output information (see lms_inform_type) |
available structures#
lms_control_type structure#
struct lms_control_type{T} f_indexing::Bool error::Int32 out::Int32 print_level::Int32 memory_length::Int32 method::Int32 any_method::Bool space_critical::Bool deallocate_error_fatal::Bool 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
unit for error messages
Int32 out
unit for monitor output
Int32 print_level
controls level of diagnostic output
Int32 memory_length
limited memory length
Int32 method
limited-memory formula required (others may be added in due course):
1 BFGS (default).
2 Symmetric Rank-One (SR1).
3 The inverse of the BFGS formula.
4 The inverse of the shifted BFGS formula. This should be used instead of .method = 3 whenever a shift is planned.
Bool any_method
allow space to permit different methods if required (less efficient)
Bool space_critical
if space is critical, ensure allocated arrays are no bigger than needed
Bool deallocate_error_fatal
exit if any deallocation fails
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’
lms_time_type structure#
struct lms_time_type{T} total::T setup::T form::T apply::T clock_total::T clock_setup::T clock_form::T clock_apply::T
detailed documentation#
time derived type as a Julia structure
components#
T total
total cpu time spent in the package
T setup
cpu time spent setting up space for the secant approximation
T form
cpu time spent updating the secant approximation
T apply
cpu time spent applying the secant approximation
T clock_total
total clock time spent in the package
T clock_setup
clock time spent setting up space for the secant approximation
T clock_form
clock time spent updating the secant approximation
T clock_apply
clock time spent applying the secant approximation
lms_inform_type structure#
struct lms_inform_type{T} status::Int32 alloc_status::Int32 length::Int32 updates_skipped::Bool bad_alloc::NTuple{81,Cchar} time::lms_time_type{T}
detailed documentation#
inform derived type as a Julia structure
components#
Int32 status
the return status. Possible values are:
0
the update was successful.
-1
An allocation error occurred. A message indicating the offending array is written on unit control.error, and the returned allocation status and a string containing the name of the offending array are held in inform.alloc_status and inform.bad_alloc respectively.
-2
A deallocation error occurred. A message indicating the offending array is written on unit control.error and the returned allocation status and a string containing the name of the offending array are held in inform.alloc_status and inform.bad_alloc respectively.
-3
One of the restrictions \(n > 0\), \(\delta_k > 0\), \(\lambda_k > 0\) or \(s_k^T y_k > 0\) has been violated and the update has been skipped.
-10
The matrix cannot be built from the current vectors \(\{s_k\}\) and \(\{y_k\}\) and values \(\delta_k\) and \(\lambda_k\) and the update has been skipped.
-31
A call to the function lhs_apply has been made without a prior call to lhs_form_shift or lhs_form with lambda specified when control.method = 4, or lhs_form_shift has been called when control.method = 3, or lhs_change_method has been called after control.any_method = false was specified when calling lhs_setup.
Int32 alloc_status
the status of the last attempted allocation/deallocation
Int32 length
the number of pairs \((s_k,y_k)\) currently used to represent the limited-memory matrix.
Bool updates_skipped
have \((s_k,y_k)\) pairs been skipped when forming the limited-memory matrix?
NTuple{81,Cchar} bad_alloc
the name of the array for which an allocation/deallocation error occurred.
struct lms_time_type time
timings (see above)