Okay. Now I understand what is going on. I would like something like this to work. I'll have to go now, but will think about what to do.
2014-03-25 16:40 GMT+01:00 James Crist <crist...@umn.edu>: > I just realized that my test case is obviously singular, so not > invertible. But I don't think it even gets to the actual inversion code > before erroring, so I doubt that's the problem. > > -Jim > > > On Tuesday, March 25, 2014 10:38:45 AM UTC-5, James Crist wrote: >> >> Here's the gist: https://gist.github.com/jcrist/ad663d6bdc4d82896176 >> >> I tried to simplify everything down to just the bare essentials, but >> there may be something I missed. Gives the same error as it did in the full >> code though, so I think I got it all. >> >> I'm running version 0.2.0. >> >> Thanks, >> >> -Jim >> >> On Tuesday, March 25, 2014 10:21:10 AM UTC-5, Andreas Noack Jensen wrote: >>> >>> A gist would be helpful. By the way, which version of Julia are you >>> running? >>> >>> >>> 2014-03-25 16:19 GMT+01:00 James Crist <cris...@umn.edu>: >>> >>>> I'm probably not. New to this language, still figuring things out. The >>>> matrix type seems to be inferred correctly though. I'll put a gist up in a >>>> bit to try and get some more relevant feedback. >>>> >>>> >>>> On Tuesday, March 25, 2014 9:54:53 AM UTC-5, Andreas Noack Jensen wrote: >>>> >>>>> I don't think you are right about LAPACK. The code tries to promote to >>>>> a type which is stable under lu factorizing which is the intermediate step >>>>> in the calculation. The problem could be that your matrix type is not >>>>> inferred correctly. Please try to let your type by subtype of Number and >>>>> then define your matrix by >>>>> >>>>> a = Mytype[mytype(1) mytype(2); mytype(3) mytype(4)] >>>>> >>>>> and see if it works. >>>>> >>>>> >>>>> 2014-03-25 15:29 GMT+01:00 James Crist <cris...@umn.edu>: >>>>> >>>>> Yeah, I get a "ERROR: no method Triangular{..." error, because my type >>>>>> doesn't subtype Number. If I do subtype number, then it wants a >>>>>> conversion >>>>>> function to convert it to a float, so it can use the LAPACK routines. >>>>>> >>>>>> -Jim >>>>>> >>>>>> >>>>>> On Tuesday, March 25, 2014 9:22:29 AM UTC-5, Andreas Noack Jensen >>>>>> wrote: >>>>>> >>>>>>> Have you tried to invert it? Maybe it works already. There is a >>>>>>> generic inv in base/linalg/generic.jl. You'll have to define a one >>>>>>> method >>>>>>> for you type and maybe also a zero method. >>>>>>> >>>>>>> >>>>>>> 2014-03-25 15:14 GMT+01:00 James Crist <cris...@umn.edu>: >>>>>>> >>>>>>> I have a type I've defined. It's not a number, but it has all >>>>>>>> arithmetic operations defined for it. Is there a way to calculate the >>>>>>>> inverse of a matrix of a user defined type? For example, if I was to >>>>>>>> define: >>>>>>>> >>>>>>>> a = [mytype(1) mytype(2); mytype(3) mytype(4)] >>>>>>>> b = inv(a) >>>>>>>> >>>>>>>> Looking through base, there doesn't seem to be a way to find >>>>>>>> inverses of non-numeric matrices (although I may be missing it). For my >>>>>>>> case, even a simple algorithm that only works well for small matrices >>>>>>>> (<10x10) would be more than sufficient. If a way for doing this doesn't >>>>>>>> currently exist, I'll probably try to roll my own. >>>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> Med venlig hilsen >>>>>>> >>>>>>> Andreas Noack Jensen >>>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> Med venlig hilsen >>>>> >>>>> Andreas Noack Jensen >>>>> >>>> >>> >>> >>> -- >>> Med venlig hilsen >>> >>> Andreas Noack Jensen >>> >> -- Med venlig hilsen Andreas Noack Jensen
