Dear Professor Zimmerman:
Based on my experience, I find MIPS fantastic. Very attractive for teaching 
purposes as well.
There is a slight con though and that is that it does not work well on 
nonconvex problems. Nonetheless, I am still working on this facet of it.
Regards.
------------------
José Luis de la Fuente O'Connor
Iberdrola
Universidad Politécnica de Madrid


(enviado sin todos los medios habituales)



-----Mensaje original-----
De: [email protected] en nombre de Ray Zimmerman
Enviado el: jue 11/04/2013 15:35
Para: MATPOWER discussion forum
Asunto: Re: MIPS solver
 
The algorithm used by MIPS is fully documented in Appendix A in the User's 
Manual, especially in section A.4.

Many things contribute to the speed of NLP solvers and there can be significant 
variation depending on the size and other characteristics of the problem being 
solved. So it's hard to say why MIPS might be the fastest in your tests. I 
often find PDIPM, KNITRO and sometimes Ipopt to be faster on large problems, 
and MINOPF is very hard to beat on small problems.

Regarding case3375wp, I'm not sure what it is, but there seems to be something 
very numerically challenging about that case. MIPS and PDIPM fail, but KNITRO 
is able to solve it with no problems.

-- 
Ray Zimmerman
Senior Research Associate
419A Warren Hall, Cornell University, Ithaca, NY 14853
phone: (607) 255-9645




On Apr 10, 2013, at 9:49 AM, Peter Raush <[email protected]> wrote:

> Dear Prof. Zimerman,
> 
> I was trying to compare the convergence time of different solver in Matpower. 
> It turns out that MIPS solver is the fastest one (especially in comparing to 
> Matlab fmincon) when using Matpower test cases. Also, I found out that MIPS 
> solver doesn't converge for the largest test case 3375wp. 
> 
> Could you please let me know why MIPS solver converges faster and is there a 
> place where I can find more information about it? 
> 
> Thank you very much for your support,
> Peter



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