Re: Different results at repeated execution

2017-05-30 Thread Teiji Ponishi
> > > If you force V and theta to zero in your case before each run, you > wshould always get the same result. > > > > Best regards, > > -- > > Jean Maeght > > RTE - R&D Division > > > > > > > > -Message d'origine---

RE: Different results at repeated execution

2017-05-30 Thread MAEGHT Jean
nell.edu] De la part de Olaf Schenk Envoyé : mardi 30 mai 2017 11:57 À : MATPOWER discussion forum Objet : Re: Different results at repeated execution Dear Jean, I think that Teiji is referring to the problem that if you use the multiple-threaded version of KNITRO you will have different solutions even

Re: Different results at repeated execution

2017-05-30 Thread Olaf Schenk
aj Objet : Re: Different results at repeated execution Hi Teiji, I suggest to use an optimizer that has parallel bitwise reproducible functionality. KNITRO is not able to give you identical results, but the IPOPT/PARDISO 5.0 binaries offers this functionality. You can it use the binaries u

RE: Different results at repeated execution

2017-05-30 Thread MAEGHT Jean
osos Kourounis ; Kardoš Juraj Objet : Re: Different results at repeated execution Hi Teiji, I suggest to use an optimizer that has parallel bitwise reproducible functionality. KNITRO is not able to give you identical results, but the IPOPT/PARDISO 5.0 binaries offers this functionality. You

Re: Different results at repeated execution

2017-05-29 Thread Olaf Schenk
Hi Teiji, I suggest to use an optimizer that has parallel bitwise reproducible functionality. KNITRO is not able to give you identical results, but the IPOPT/PARDISO 5.0 binaries offers this functionality. You can it use the binaries under "Matpower Libraries" on http://www.pardiso-project

Different results at repeated execution

2017-05-27 Thread Teiji Ponishi
Hi all, I use MATPOWER 5.1, and knitro as a optimization solver. When I run the MATPOWER repeatedly, the values of objective function can be slightly reduced as follows: 1st 8740.2 2nd8731.9 3rd 8728.3 But, after MATLAB was restarted, the same values of objective function can be ob