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<div class="moz-cite-prefix">On 11-Feb-15 12:13 PM, Alan G Isaac
wrote:<br>
</div>
<blockquote cite="mid:54DB8DBC.9020505@gmail.com" type="cite">
<pre wrap="">Just recalling the one-year-ago discussion:
<a class="moz-txt-link-freetext" href="http://comments.gmane.org/gmane.comp.python.numeric.general/56494">http://comments.gmane.org/gmane.comp.python.numeric.general/56494</a>
Alan Isaac
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<a class="moz-txt-link-freetext" href="http://mail.scipy.org/mailman/listinfo/numpy-discussion">http://mail.scipy.org/mailman/listinfo/numpy-discussion</a></pre>
</blockquote>
Thanks Alan,<br>
<br>
I've kept a pointer.<br>
<br>
My interest is not oriented towards tuition but in exploring the
possibility of making Matrix as efficient as possible. Others have
suggested Sage Maths for tuition.<br>
<br>
What methods should be included? You have suggested adding the
Hermitian.<br>
<br>
I think of the matrix as a numeric object. What would the case be
for having a Boolean matrix?<br>
<br>
The <a href="http://en.wikipedia.org/wiki/Hat_matrix">Hat matrix</a>
and <a
href="http://en.wikipedia.org/wiki/Singular_value_decomposition">SVD</a>
are suggested.<br>
<br>
Possible coordination with stats models.<br>
<br>
I'll try to put a first draft specification over the next few weeks.<br>
<br>
Colin W.<br>
<br>
<blockquote cite="mid:54DB8DBC.9020505@gmail.com" type="cite">
<pre wrap="">
</pre>
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