[SciPy-dev] Summer Marathon "Category of the Week"

[David Goldsmith]

eig = done!

DG

--- On Thu, 7/2/09, Stéfan van der Walt <stefan at sun.ac.za> wrote:

> From: Stéfan van der Walt <stefan at sun.ac.za>
> Subject: Re: [SciPy-dev] Summer Marathon "Category of the Week"
> To: "SciPy Developers List" <scipy-dev at scipy.org>
> Date: Thursday, July 2, 2009, 3:20 AM
> Hi marathon runners,
> 
> Well done on the progress made last week!
> 
> 2009/7/1 David Goldsmith <d_l_goldsmith at yahoo.com>:
> > Linear Algebra! (My favorite! :-))  Let's get it to
> pink or better by next Wed!
> 
> Excellent!  The linalg module is shown here:
> 
> http://docs.scipy.org/numpy/docs/numpy.linalg/
> 
> You can choose from:
> 
> cholesky cond det eig eigh eigvals eigvalsh
> inv lstsq matrix_power norm inv qr solve svd tensorinv
> tensorsolve
> 
> These mostly have decent docstrings already, so I'd suggest
> focusing
> on making the following more accessible to your typical
> linear algebra
> student:
> 
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.eig/
> [1]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.qr/
> [2]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.norm/
> [3]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.svd/
> [4]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.tensorinv/
> [5]
> 
> Have fun!
> Stéfan
> 
> [1] In the notes section, describe right vs left
> eigenvectors.
> Personally, I think we can drop the reference to the
> characteristic
> polynomial (we
> don't solve it that way in any case).
> 
> [2] Needs formatting and a link to an explanation of QR.
> 
> [3] Describe what Frobenius means, or give a link to an
> appropriate reference.
> 
> [4] Note Pauli's comment: indicate clearly that the
> decomposition A =
> U S V.T is returned (V.H for complex matrices).
> 
> [5] Badly in need of some examples.
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