[SciPy-dev] Comments on API for Matlab's eigs equivalent (computing a few eigenvalues only)
josef.pktd@gmai...
josef.pktd@gmai...
Thu Feb 4 21:08:42 CST 2010
On Thu, Feb 4, 2010 at 9:54 PM, Charles R Harris
<charlesr.harris@gmail.com> wrote:
>
>
> On Thu, Feb 4, 2010 at 7:24 PM, <josef.pktd@gmail.com> wrote:
>>
>> On Thu, Feb 4, 2010 at 8:27 PM, David Cournapeau <cournape@gmail.com>
>> wrote:
>> > On Fri, Feb 5, 2010 at 9:43 AM, Warren Weckesser
>> > <warren.weckesser@enthought.com> wrote:
>> >
>> >> David C,
>> >>
>> >> You said this was for symmetric matrices, but do you envision later
>> >> allowing nonsymmetric matrices?
>> >
>> > Yes. I have only implemented symmetric/Hermitian because that's the
>> > only solver that handles getting only a few eigenvalues in LAPACK.
>> > Matlab own eigs function uses ARPACK for both symmetric/unsymmetric
>> > cases, which is not good according to one of the Lapack developer
>> > (http://mail.scipy.org/pipermail/scipy-dev/2007-March/006778.html).
>> > But we could use ARPACK for the general case in eigs.
>> >
>> >>
>> >> If not, then perhaps the name of the function should be 'eigsh',
>> >> following the precedent set by numpy.linalg and scipy.linalg.
>> >
>> > I wonder whether those eigh functions are a good idea: I fear that
>> > most people will always use eig - maybe one could use the underlying
>> > eig*h solver in eig* if the matrix is detected as being symmetric ? I
>> > am not really knowledgeable about those issues, though. For example, I
>> > don't know whether the symmetric aspect should be checked exactly, or
>> > if it is better to use a symmetric solver even if there are very
>> > small errors in say A'-A.
>> >
>> >>
>> >> In particular, the choice of ordering by magnitude or by real part is
>> >> convenient.
>> >
>> > It seems that one would need to implement the non-symmetric
>> > capabilities to sort this out. I fear that those options are solver
>> > specific, though - maybe the solution is to have two levels of API,
>> > one low-level and one high level.
>> >
>> > cheers,
>> >
>> > David
>> > _______________________________________________
>> > SciPy-Dev mailing list
>> > SciPy-Dev@scipy.org
>> > http://mail.scipy.org/mailman/listinfo/scipy-dev
>> >
>>
>> the current version of scipy.linalg.eigh sorts from smallest to largest
>>
>> >>> scipy.linalg.eigh(x)[0]
>> array([ 4.04457427e-03, 1.84073286e-01, 6.74875960e-01,
>> 3.23328824e+00, 4.00741304e+00, 6.98333680e+00,
>> 1.45314842e+01, 1.49260377e+01, 2.47166702e+01,
>> 2.98955755e+01])
>> >>> scipy.linalg.eigh(x, eigvals=(0,3))[0]
>> array([ 0.00404457, 0.18407329, 0.67487596, 3.23328824])
>> >>> scipy.linalg.eigh(x, eigvals=(len(x)-3, len(x)-1))[0]
>> array([ 14.92603769, 24.71667021, 29.89557547])
>>
>>
>> >>> x = np.random.randn(10, 10) + 1j*np.random.randn(10, 10)
>> >>> x = np.dot(x.T, x)
>> >>> scipy.linalg.eigh(x, eigvals=(0,3))[0]
>> array([-36.82039662, -18.20362967, -12.21716065, -9.79752274])
>> >>> scipy.linalg.eigh(x, eigvals=(len(x)-3, len(x)-1))[0]
>> array([ 14.44815917, 28.8394026 , 42.45471058])
>>
>
> Yeah. It's my fault ;) It didn't use to sort at all.
I thought that's how Tiziano added them, I didn't see a sort when I
briefly browsed the source.
But I'm looking at lapack only from the outside.
Josef
>
> Chuck
>
>
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