Hi,<br><br>Did you try numpy.dot(sqrtm(a), sqrtm(a)) ?<br><br>Matthieu<br><br><div><span class="gmail_quote">2007/7/16, Kevin Jacobs <<a href="mailto:jacobs@bioinformed.com">jacobs@bioinformed.com</a>> <<a href="mailto:bioinformed@gmail.com">
bioinformed@gmail.com</a>>:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Hi all,<br><br>This is a bit of a SciPy question, but I thought I'd ask here since I'm already subscribed. I'd like to add some new LAPACK bindings to SciPy and was wondering if there was a minimum version requirement for LAPACK, since it would be ideal if I could use some of the newer
3.0 features. In addition to using some block methods only added in 3.0, it is very convenient to use the WORK=-1 for space queries instead of reimplementing the underlying logic in the calc_work module.<br><br>The routines of most interest to me are:
<br>DGELSD<br>DGGGLM<br>DGGLSE<br><br>I've also found that SciPy's sqrtm is broken:<br><br>>>> a=matrix([[59, 64, 69],<br> [64, 72, 80],<br> [69, 80, 91]])<br>>>> sqrtm(a)<br>array([[
5.0084801 +1.03420519e-08j, 4.40747825 -2.06841037e-08j,<br> 3.8064764 +1.03420519e-08j],<br> [ 4.40747825 -2.06841037e-08j, 4.88353492 +4.13682075e-08j,<br> 5.3595916 -2.06841037e-08j],<br> [
3.8064764 +1.03420519e-08j, 5.3595916 -2.06841037e-08j,<br> 6.9127068 +1.03420519e-08j]])<br>>>> sqrtm(a)*sqrtm(a)<br>array([[ 25.08487289 +1.03595922e-07j, 19.42586452 -1.82329475e-07j,<br>
14.48926259 +7.87335527e-08j],<br> [ 19.42586452 -1.82329475e-07j, 23.84891336 +4.04046172e-07j,<br> 28.72522212 -2.21716697e-07j],<br> [ 14.48926259 +7.87335527e-08j, 28.72522212 -2.21716697e-07j,<br>
47.78551529 +1.42983144e-07j]])<br><br>So not even close... (and yes, it does deserve a bug report if one doesn't already exist)<br><span class="sg"><br>-Kevin<br><br>
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