[SciPy-dev] openopt and algencan
Thu Mar 20 15:05:33 CDT 2008
Nils Wagner wrote:
> On Thu, 20 Mar 2008 20:32:53 +0200
> dmitrey <firstname.lastname@example.org> wrote:
>> Nils, try using p.xlabel = 'nf'
>> this is temporary name for "number of function
>> evaluations", I will
>> think what is better name for the case, and then commit
>> it into OO doc.
>> This is more appropriate vs your "iteration" that you
>> have chosen for
>> your x label.
>> Your "iteration" is just a single objfunc evaluation,
>> while users will
>> suppose solvers have different iterations with different
>> number of
>> objFunc evaluations in each one.
>> Also, take into account, that ralg can yield infeasible
>> points, so your single-subplot picture doesn't provide
>> all convergence info.
>> Ralg is intended to handle lb-ub problems more bette in
>> Regards, D.
>> Nils Wagner wrote:
>>> On Thu, 20 Mar 2008 19:03:25 +0200
>>> dmitrey <email@example.com> wrote:
>>>> Hi Nils,
>>>> I have made some changes to svn, try using ALGENCAN now.
>>> Great ! It works for me. Thank you very much !
>>> Scipy-dev mailing list
>> Scipy-dev mailing list
> Hi Dmitrey,
> Thank you for your comments.
> BTW, do you have an
> optional specification file algencan.dat
> that you can send me ?
> I just noticed the message
> The optional specification file algencan.dat was not
> found in the current
> directory (this is not a problem nor an error). The
> default values for the
> ALGENCAN parameters will be used.
> ALGENCAN PARAMETERS:
> rhoauto = T
> rhotype = 1
> rhomult = 1.0000E+01
> rhofrac = 5.0000E-01
> gtype = 0
> hptype = 6
> intype = 0
> precond = QNCGNA
> checkder = F
> epsfeas = 1.0000E-06
> epsopt = 1.0000E-06
> maxoutit = 50
> maxtotit = 1000
> maxtotfc = 10000
> iprint = 0
> ncomp = 5
This output is generated by ALGENCAN, not OO.
You'd better contact ALGENCAN developers about the file.
> ALGENCAN has finished solving the problem unnamed
> istop: 2 (|| gradient F(X[k]) || < gradtol)
> Solver: Time Elapsed = 0.21 CPU Time Elapsed = 0.2
> objFunValue: 443.752171145 (feasible, max constraint = 0)
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