<div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;"><div class="Ih2E3d">> Maybe I need to bite the bullet and do my own build on windows...<br>
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</div>Also good idea, if you can find a fortran compiler...<br>
<div class="Ih2E3d"></div></blockquote><div>I will give it a shot with Intel Fortran. But the instructions in the visual studio project files say to use f2c if I remember? Am I better off just compiling that part of the solution with Fortran?</div>
<div> </div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;"><div class="Ih2E3d"><br>
>> > 2) If it is linked in, any chance of getting a binary build with the<br>
>> No chance ;-). It's a headache to build on Windows, if I find time,<br>
>> maybe I'll do it.So why you use it? ;-)<br></div>
<div><div></div><div class="Wj3C7c"></div></div></blockquote><div>A very reasonable question.</div><div>Answer 1: I am addicted to the visual studio debugger/dev environment and can't find anything even remotely close for linux. gdb is utterly useless for mediocre developers like me.</div>
<div>Answer 2: Now that I am using cmake for crossplatform, I don't need to use the idiotic visual studio project files and figure I can do development on a different platform than the cluster I will deploy on.</div><div>
Answer 3: A lot of my fellow economists are using Windows, and trying to sell coauthors/etc. using my libraries to move to linux is a hard sell.</div><div><br></div><div>Another question:</div><div>I am planning to get BonMin up and running as well at some point. Looking at the Bonmin-1.0.1 distribution, it looks like they are distributing an older copy of ipopt. Can I setup ipopt-3.5.5 and then use it with this version of bonmin? Or should I build the one they have in the distribution.</div>
<div><br></div><div>And if people aren't sick of me yet, can I ask a few general optimization questions?:</div><div>1) What open source optimizer do you guys suggest for minimizing nonlinear constrained continuous problems where: I cannot calculate a derivative analytically, nor with auto-differentiation, it probably won't be convex, and my function will probably be expensive to calculate? The number of policy variables would be in the order of 2-50. The DFO on COIN doesn't seem to be very active and is in Fortran. Is it still the right one to use? What about the algorithms in <a href="http://www-unix.mcs.anl.gov/tao/docs/manual/manual.html">http://www-unix.mcs.anl.gov/tao/docs/manual/manual.html</a> or <a href="http://trilinos.sandia.gov/packages/moocho/">http://trilinos.sandia.gov/packages/moocho/ </a>And for some of my problems, the calculation of the function will be REALLY expensive (~30 seconds per evaluation), so if there is a good optimizer out there that can distribute function evaluations and anything else intelligent to overcome this, I would love it.</div>
<div><br></div><div>2) Do you guys have any idea of a good open source interpolator (cubicsplines hopefully) written for arbitrary dimension N? I don't mind if it is C or Fortran since I have basically given up on a C++ one. This seems like something people have done a million times and I can't find out for the life of me.</div>
<div><br></div><div>3) On the same vein, do you guys know of a good open general quadrature library for arbitrary dimension N? C or Fortran is fine here as well.</div><div><br></div><div>Thanks for all your help and these great libraries.</div>
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