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<span style="background-color:rgb(255, 255, 255);display:inline !important">scitbx.linalg.eigensystem?</span></div>
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>>> from scitbx.array_family import flex
<div>>>> from scitbx.linalg import eigensystem</div>
<div>>>> m = flex.double((-2, -4, 2, -2, 1, 2, 4, 2, 5))</div>
<div>>>> m.reshape(flex.grid(3,3))</div>
<div>>>> es = eigensystem.real_symmetric(m)</div>
<div>>>> list(es.values())<br>
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<div>[6.999999999999998, 2.0, -5.0]</div>
<div>>>> list(es.vectors())</div>
<div>[0.36514837167011327, 0.18257418583505025, 0.9128709291752769, -0.4472135954999558, 0.8944271909999169, 5.177854513745429e-15, 0.816496580927726, 0.4082482904638631, -0.40824829046386296]</div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> cctbxbb-bounces@phenix-online.org <cctbxbb-bounces@phenix-online.org> on behalf of Robert Oeffner <rdo20@cam.ac.uk><br>
<b>Sent:</b> 10 December 2020 14:57<br>
<b>To:</b> cctbx mailing list <cctbxbb@phenix-online.org><br>
<b>Subject:</b> [cctbxbb] alternative to scipy.linalg.eig</font>
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<div class="PlainText">scipy.linalg.eig is useful for diagonalising a 3x3 matrix to find
<br>
eigenvalues and eigenvectors. Does anybody know if there is code in <br>
CCTBX which can also do this?<br>
<br>
<br>
Rob<br>
<br>
<br>
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