L-BFGS-B
3.0
Large-scale Bound-constrained Optimization
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Functions/Subroutines | |
subroutine | errclb (n, m, factr, l, u, nbd, task, info, k) |
This subroutine checks the validity of the input data. More... | |
subroutine errclb | ( | integer | n, |
integer | m, | ||
double precision | factr, | ||
double precision, dimension(n) | l, | ||
double precision, dimension(n) | u, | ||
integer, dimension(n) | nbd, | ||
character*60 | task, | ||
integer | info, | ||
integer | k | ||
) |
This subroutine checks the validity of the input data.
n | number of parameters |
m | history size of approximated Hessian |
factr | convergence criterion on function value |
l | lower bounds for parameters |
u | upper bounds for parameters |
nbd | indicates which bounds are present |
task | if an error occurs, contains a human-readable error message |
info | =0 on success; =-6 if nbd(k) was invalid; =-7 if both limits are given but l(k) > u(k) |
k | index of last errournous parameter |
Definition at line 16 of file errclb.f.
Referenced by mainlb().