[RBFOpt] max_evaluations in RBFOpt

[Giacomo Nannicini]

The user manual has a section on "limits and tolerances". Please refer
to that section.

G

On Tue, Sep 29, 2020 at 9:02 PM Chuong Thaidoan
<chuongthaidoan at gmail.com> wrote:
>
> Dear Giacomo,
> I am running your RBFOpt method for my function but it just finished at 1000 evaluations. Following your manual documentation, I set "max_evaluations=5000" but it does not affect. Could you please let me know how to increase the number of evaluations as my data has more than ten thousand points?
> Thank you in advance for your comments.
> Best regards,
> TD Chuong
>
> On Fri, Sep 25, 2020 at 10:02 AM Chuong Thaidoan <chuongthaidoan at gmail.com> wrote:
>>
>> Dear Giacomo,
>> Thank you very much for your advice. I will study these suggestions.
>> Best regards,
>> TD Chuong
>>
>> On Thu, Sep 24, 2020 at 11:40 PM Giacomo Nannicini <giacomo.n at gmail.com> wrote:
>>>
>>> There's no way to do that with RBFOpt. I also don't know of any
>>> algorithm for black-box problems that does that type of computation.
>>> In principle, after running the optimization, say, via an object "alg"
>>> of class RbfoptAlgorithm, you can loop through alg.all_node_pos and
>>> alg.all_node_val to see all points explored by the algorithm.The first
>>> data structure contains the x coordinates, the second data structure
>>> contains the corresponding objective function value.
>>>
>>> G
>>>
>>> On Thu, Sep 24, 2020 at 9:20 AM Chuong Thaidoan
>>> <chuongthaidoan at gmail.com> wrote:
>>> >
>>> > Dear Giacomo,
>>> > Thank you for your reply. Solutions that I mean are best solutions. Since some problem may have several best solutions, and  so I want to know how to print out all such best solutions, not just one.
>>> > Best regards,
>>> > TD Chuong
>>> >
>>> > On Thu, Sep 24, 2020 at 11:00 PM Giacomo Nannicini <giacomo.n at gmail.com> wrote:
>>> >>
>>> >> That x contains the best solution found. This is an unconstrained
>>> >> problem so any point in the domain is a solution. I don't understand
>>> >> what you mean by "print all the solutions".
>>> >>
>>> >> G
>>> >>
>>> >> On Thu, Sep 24, 2020 at 8:46 AM Chuong Thaidoan
>>> >> <chuongthaidoan at gmail.com> wrote:
>>> >> >
>>> >> > Dear Giacomo,
>>> >> > Thank you for your email. Yes, I mean that I would like to know all solutions because if I print(x), it shows only one but the problem may have multiple solutions. How can I print all solutions?
>>> >> > Best regards,
>>> >> > TD Chuong
>>> >> >
>>> >> > On Thu, Sep 24, 2020 at 9:58 PM Giacomo Nannicini <giacomo.n at gmail.com> wrote:
>>> >> >>
>>> >> >> After running
>>> >> >>
>>> >> >> val, x, itercount, evalcount, fast_evalcount = alg.optimize()
>>> >> >>
>>> >> >> the solution is in x and the corresponding objective is in val.
>>> >> >>