Re: ublas+multiprecision+lapack

Hi,

its futile. LAPACK does not know multiprecision types. This would need a 
templated implementation, luckily there are LAWNs showing that it is not 
too hard to implement in an "efficient" manner (as EVs can not be 
computed efficiently at all...)

On 2016-06-11 11:55, Carsten Burgard wrote:
> Hi everyone!
> 
> I've been using the UBLAS matrix library for about a year now, mostly
> for very simple operations (matrix inversion, condition number). Due to
> very special requirements, we're using the types from boost
> multiprecision to achieve higher precision numerics, which works 
> perfectly.
> 
> Now, we're trying to go one step further and also calculate some
> eigenvectors (and eigenvalues). As far as I understand, UBLAS does not
> natively implement any numerics algorithms for these types of
> operations, but instead relies on bindings to existing matrix libraries
> like LAPACK.
> 
> However, it's not clear to me whether this will still work when
> templated to multiprecision types. So far, I've been unable to come up
> with a way to make it work (see, e.g., here.
> http://stackoverflow.com/questions/37705633/boost-multiprecision-numeric-bindings-lapack).
> 
> Is there some way to make it work, possibly an example showing how it
> can be done floating around somewhere on the web? Is there some special
> backend that needs to be used instead of standard LAPACK? Or is this
> whole endeavour just futile?
> 
> Regards,
> 
> Carsten
> 
> 
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