arc_inform_type structure

    struct arc_inform_type{T}
      status::Int32
      alloc_status::Int32
      bad_alloc::NTuple{81,Cchar}
      iter::Int32
      cg_iter::Int32
      f_eval::Int32
      g_eval::Int32
      h_eval::Int32
      factorization_status::Int32
      factorization_max::Int32
      max_entries_factors::Int64
      factorization_integer::Int64
      factorization_real::Int64
      factorization_average::T
      obj::T
      norm_g::T
      weight::T
      time::arc_time_type{T}
      rqs_inform::rqs_inform_type{T}
      glrt_inform::glrt_inform_type{T}
      dps_inform::dps_inform_type{T}
      psls_inform::psls_inform_type{T}
      lms_inform::lms_inform_type{T}
      lms_inform_prec::lms_inform_type{T}
      sha_inform::sha_inform_type

detailed documentation

inform derived type as a Julia structure

components

Int32 status

return status. See ARC_solve for details

Int32 alloc_status

the status of the last attempted allocation/deallocation

NTuple{81,Cchar} bad_alloc

the name of the array for which an allocation/deallocation error occurred

Int32 iter

the total number of iterations performed

Int32 cg_iter

the total number of CG iterations performed

Int32 f_eval

the total number of evaluations of the objective function

Int32 g_eval

the total number of evaluations of the gradient of the objective functio

Int32 h_eval

the total number of evaluations of the Hessian of the objective function

Int32 factorization_status

the return status from the factorization

Int32 factorization_max

the maximum number of factorizations in a sub-problem solve

Int64 max_entries_factors

the maximum number of entries in the factors

Int64 factorization_integer

the total integer workspace required for the factorization

Int64 factorization_real

the total real workspace required for the factorization

T factorization_average

the average number of factorizations per sub-problem solve

T obj

the value of the objective function at the best estimate of the solution determined by the package.

T norm_g

the norm of the gradient of the objective function at the best estimate of the solution determined by the package.

T weight

the current value of the regularization weight

struct arc_time_type time

timings (see above)

struct rqs_inform_type rqs_inform

inform parameters for RQS

struct glrt_inform_type glrt_inform

inform parameters for GLRT

struct dps_inform_type dps_inform

inform parameters for DPS

struct psls_inform_type psls_inform

inform parameters for PSLS

struct lms_inform_type lms_inform

inform parameters for LMS

struct lms_inform_type lms_inform_prec

inform parameters for LMS used for preconditioning

struct sha_inform_type sha_inform

inform parameters for SHA