info for the optimizer (see the description of this module) More...

Data Fields
character(len=60)	task = ""

character(len=60)	csave = ""

logical, dimension(4)	lsave = .FALSE.

integer	m = 0

integer	print_every = 0

integer	master = 0

integer	max_f_per_iter = 0

integer	status = 0

integer	n_iter = 0

integer, dimension(:), pointer	kind_of_bound => NULL()

integer, dimension(:), pointer	i_work_array => NULL()

integer, dimension(:), pointer	isave => NULL()

real(kind=dp)	f = 0.0_dp

real(kind=dp)	wanted_relative_f_delta = 0.0_dp

real(kind=dp)	wanted_projected_gradient = 0.0_dp

real(kind=dp)	last_f = 0.0_dp

real(kind=dp)	projected_gradient = 0.0_dp

real(kind=dp)	eold = 0.0_dp

real(kind=dp)	emin = 0.0_dp

real(kind=dp)	trust_radius = 0.0_dp

real(kind=dp), dimension(:), pointer	x => NULL()

real(kind=dp), dimension(:), pointer	lower_bound => NULL()

real(kind=dp), dimension(:), pointer	upper_bound => NULL()

real(kind=dp), dimension(:), pointer	gradient => NULL()

real(kind=dp), dimension(:), pointer	dsave => NULL()

real(kind=dp), dimension(:), pointer	work_array => NULL()

type(mp_para_env_type), pointer	para_env => NULL()

type(gopt_f_type), pointer	obj_funct => NULL()

Detailed Description

info for the optimizer (see the description of this module)

Parameters

task	the actual task of the optimizer (in the master it is up to date, in case of error also the minions one get updated.
csave	internal character string used by the lbfgs optimizer, meaningful only in the master
lsave	logical array used by the lbfgs optimizer, updated only in the master On exit with task = 'NEW_X', the following information is available: lsave(1) = .true. the initial x did not satisfy the bounds; lsave(2) = .true. the problem contains bounds; lsave(3) = .true. each variable has upper and lower bounds.
ref_count	reference count (see doc/ReferenceCounting.html)
m	the dimension of the subspace used to approximate the second derivative
print_every	every how many iterations output should be written. if 0 only at end, if print_every<0 never
master	the pid of the master processor
max_f_per_iter	the maximum number of function evaluations per iteration
status	0: just initialized, 1: f g calculation, 2: begin new iteration, 3: ended iteration, 4: normal (converged) exit, 5: abnormal (error) exit, 6: daellocated
n_iter	the actual iteration number
kind_of_bound	an array with 0 (no bound), 1 (lower bound), 2 (both bounds), 3 (upper bound), to describe the bounds of every variable
i_work_array	an integer workarray of dimension 3*n, present only in the master
isave	is an INTEGER working array of dimension 44. On exit with task = 'NEW_X', it contains information that the user may want to access:
isave	(30) = the current iteration number;
isave	(34) = the total number of function and gradient evaluations;
isave	(36) = the number of function value or gradient evaluations in the current iteration;
isave	(38) = the number of free variables in the current iteration;
isave	(39) = the number of active constraints at the current iteration;
f	the actual best value of the object function
wanted_relative_f_delta	the wanted relative error on f (to be multiplied by epsilon), 0.0 -> no check
wanted_projected_gradient	the wanted error on the projected gradient (hessian times the gradient), 0.0 -> no check
last_f	the value of f in the last iteration
projected_gradient	the value of the sup norm of the projected gradient
x	the actual evaluation point (best one if converged or stopped)
lower_bound	the lower bounds
upper_bound	the upper bounds
gradient	the actual gradient
dsave	info date for lbfgs (master only)
work_array	a work array for lbfgs (master only)
para_env	the parallel environment for this optimizer
obj_funct	the objective function to be optimized

History: none

Author: Fawzi Mohamed

Version: 2.2002

Definition at line 163 of file cp_lbfgs_optimizer_gopt.F.

Field Documentation

◆ task

character(len=60) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::task = ""

Definition at line 164 of file cp_lbfgs_optimizer_gopt.F.

◆ csave

character(len=60) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::csave = ""

Definition at line 165 of file cp_lbfgs_optimizer_gopt.F.

◆ lsave

logical, dimension(4) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::lsave = .FALSE.

Definition at line 166 of file cp_lbfgs_optimizer_gopt.F.

◆ m

integer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::m = 0

Definition at line 167 of file cp_lbfgs_optimizer_gopt.F.

◆ print_every

integer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::print_every = 0

Definition at line 167 of file cp_lbfgs_optimizer_gopt.F.

◆ master

integer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::master = 0

Definition at line 167 of file cp_lbfgs_optimizer_gopt.F.

◆ max_f_per_iter

integer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::max_f_per_iter = 0

Definition at line 167 of file cp_lbfgs_optimizer_gopt.F.

◆ status

integer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::status = 0

Definition at line 167 of file cp_lbfgs_optimizer_gopt.F.

◆ n_iter

integer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::n_iter = 0

Definition at line 167 of file cp_lbfgs_optimizer_gopt.F.

◆ kind_of_bound

integer, dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::kind_of_bound => NULL()

Definition at line 168 of file cp_lbfgs_optimizer_gopt.F.

◆ i_work_array

integer, dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::i_work_array => NULL()

Definition at line 168 of file cp_lbfgs_optimizer_gopt.F.

◆ isave

integer, dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::isave => NULL()

Definition at line 168 of file cp_lbfgs_optimizer_gopt.F.

◆ f

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::f = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ wanted_relative_f_delta

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::wanted_relative_f_delta = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ wanted_projected_gradient

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::wanted_projected_gradient = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ last_f

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::last_f = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ projected_gradient

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::projected_gradient = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ eold

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::eold = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ emin

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::emin = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ trust_radius

real(kind=dp) cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::trust_radius = 0.0_dp

Definition at line 169 of file cp_lbfgs_optimizer_gopt.F.

◆ x

real(kind=dp), dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::x => NULL()

Definition at line 171 of file cp_lbfgs_optimizer_gopt.F.

◆ lower_bound

real(kind=dp), dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::lower_bound => NULL()

Definition at line 171 of file cp_lbfgs_optimizer_gopt.F.

◆ upper_bound

real(kind=dp), dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::upper_bound => NULL()

Definition at line 171 of file cp_lbfgs_optimizer_gopt.F.

◆ gradient

real(kind=dp), dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::gradient => NULL()

Definition at line 171 of file cp_lbfgs_optimizer_gopt.F.

◆ dsave

real(kind=dp), dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::dsave => NULL()

Definition at line 171 of file cp_lbfgs_optimizer_gopt.F.

◆ work_array

real(kind=dp), dimension(:), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::work_array => NULL()

Definition at line 171 of file cp_lbfgs_optimizer_gopt.F.

◆ para_env

type(mp_para_env_type), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::para_env => NULL()

Definition at line 173 of file cp_lbfgs_optimizer_gopt.F.

◆ obj_funct

type(gopt_f_type), pointer cp_lbfgs_optimizer_gopt::cp_lbfgs_opt_gopt_type::obj_funct => NULL()

Definition at line 174 of file cp_lbfgs_optimizer_gopt.F.

The documentation for this type was generated from the following file:

motion/cp_lbfgs_optimizer_gopt.F

Data Fields

Detailed Description

Field Documentation

◆ task

◆ csave

◆ lsave

◆ m

◆ print_every

◆ master

◆ max_f_per_iter

◆ status

◆ n_iter

◆ kind_of_bound

◆ i_work_array

◆ isave

◆ f

◆ wanted_relative_f_delta

◆ wanted_projected_gradient

◆ last_f

◆ projected_gradient

◆ eold

◆ emin

◆ trust_radius

◆ x

◆ lower_bound

◆ upper_bound

◆ gradient

◆ dsave

◆ work_array

◆ para_env

◆ obj_funct