On Apr 28, 4:44 am, Bill Hart <goodwillh...@googlemail.com> wrote:
> On Apr 27, 8:55 pm, rjf <fate...@gmail.com> wrote:
>
> > Oh, just another note.
>
> > There are people who have made their whole careers on devising
> > asymptotically fast algorithms
> > which have never been implemented, or (if they have been implemented)
> > are not fast because
> > their overly-simplified analysis does not fit the currently available
> > computer efficiency profile.
> > Indeed, their analysis may not fit any past profile of computers, and
> > their algorithms were never
> > practical.
>
> Interesting observation. Furer's algorithm is not practical, as are
> some matrix multiplication algorithms. Do you have any other examples
> in mind?
>

Fastest algorithms in semi-algebraic geometry (see e.g. the book by
S.Basu, R.Pollack, M.-F.Roy), such as
quantifier elimination over the reals, fall under this, too.
Nobody has found how to implement the symbolic infinitesimal
deformations
needed there efficiently, it seems.

Dima

>
>
> > Note, for example, that memory access is far more expensive than
> > arithmetic, and that
> > many computers now can multiply or add in comparable time; and they
> > have several multipliers. Etc.
>
> I would say that memory access if far more expensive than addition,
> but not arithmetic in general. FFT multiplication is n log n
> (sometimes with a log log n, depending on what you are multiplying)
> and I would say the memory access perhaps adds a hidden log n factor.
>
> Can you perhaps be more specific as to what you are hinting at?
>
>
>
> > RJF
>
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