<div dir="ltr"><div class="gmail_extra"><div class="gmail_quote">On Wed, Apr 25, 2018 at 8:10 AM, Savneet Kaur <span dir="ltr"><<a href="mailto:Savneet.KAUR@cea.fr" target="_blank">Savneet.KAUR@cea.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF">
<p>Hello Again,</p>
<p>Yes I would like to find for the initial 10% and 20% of the
eigenpairs. But in addition to this,I also want to check for the
full spectrum.</p>
<p>So, how shall I proceed with it? <br>
</p>
</div></blockquote><div>First just setup the eigensolve. I don't think anything you are asking for is missing from the standard interface.</div><div><br></div><div>Checking the full spectrum is only possible with small matrices. SLEPc would just interface to LAPACK for that.</div><div><br></div><div> Thanks,</div><div><br></div><div> Matt</div><div><br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div text="#000000" bgcolor="#FFFFFF">Thank You.<br>
<br>
Regards,<br>
savneet<br>
<br>
<div class="m_-5680584691100656190moz-cite-prefix">Le 25/04/2018 à 11:33, Matthew Knepley
a écrit :<br>
</div>
<blockquote type="cite">
<div dir="ltr">
<div class="gmail_extra">
<div class="gmail_quote">On Wed, Apr 25, 2018 at 5:10 AM,
Savneet Kaur <span dir="ltr"><<a href="mailto:Savneet.KAUR@cea.fr" target="_blank">Savneet.KAUR@cea.fr</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF">
<p>Hello,</p>
<p>Warm Regards<br>
</p>
<p>I am Savneet Kaur, a master student at University
Paris Saclay and currently pursuing an internship at
CEA Saclay (France).</p>
<p>I have recently started to understand the slepc and
petsc solvers, by taking up the tutorials for
eigenvalue problems. In my internship work I have to
develop a laplacian matrix from a given transition
rate matrix and solve it using SLEPC and PETSC and to
evaluate the lowest eigenvalue.<br>
</p>
<p>I was wondering if I could get some information. I
need to diagonalize a 2D Laplacian matrix. And writing
a code in C and diagonalizing it is easy. But I am not
getting it how to accommodate with the SLEPC Program.
Am i suppose to use any packages or it will is done by
a loop? Or I need to read some other manual to
understand how does it work. Please kindly let me
know.</p>
</div>
</blockquote>
<div>I would just like to clarify some terminology.
"Diagonalize" would usually mean find all eigenvalues and
eigenvectors.<br>
</div>
<div>Is this what you mean? Often, SLEPc users want only a
portion of the spectrum since the matrices are enormous.</div>
<div><br>
</div>
<div> Thanks,</div>
<div><br>
</div>
<div> Matt</div>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF">
<p>The diagonalizing a matrix will be preliminary step
of my work.</p>
<p>I will be highly obliged to the the team, if I could
get help.</p>
<p>Hoping for a favorable response from your side.</p>
<p>Thank you for the time and consideration.</p>
<p><br>
</p>
<p>Sincerely,</p>
<p><b>Savneet Kaur</b></p>
<div>
<p><b><span style="font-size:10pt;background-image:initial;background-position:initial;background-repeat:initial">Intern
at </span><span style="font-size:10pt">DEN/DANS/DMN/SRMP</span></b></p>
<p> </p>
</div>
<p> </p>
<p><b><span style="font-size:10pt">CEA - Centre de
Saclay </span><span style="font-size:10pt">ǀ</span><span style="font-size:10pt"> Bâtiment 520<br>
</span></b></p>
<p><span style="font-size:10pt"><b>91191 Gif-sur-Yvette
Cedex</b></span></p>
<p><span style="font-size:10pt"><b>France</b></span></p>
<p><span style="font-size:10pt"><b>Tel: +33 (0) 666 749
000</b></span></p>
<p><span style="font-size:10pt"><b>Email: <a class="m_-5680584691100656190m_-3274466247898941997moz-txt-link-abbreviated" href="mailto:savneet.kaur@cea.fr" target="_blank">savneet.kaur@cea.fr</a><br>
</b></span></p>
<p><br>
</p>
<p><br>
</p>
</div>
</blockquote>
</div>
<br>
<br clear="all"><span class="HOEnZb"><font color="#888888">
<div><br>
</div>
-- <br>
<div class="m_-5680584691100656190gmail_signature" data-smartmail="gmail_signature">
<div dir="ltr">
<div>
<div dir="ltr">
<div>What most experimenters take for granted before
they begin their experiments is infinitely more
interesting than any results to which their
experiments lead.<br>
-- Norbert Wiener</div>
<div><br>
</div>
<div><a href="http://www.caam.rice.edu/%7Emk51/" target="_blank">https://www.cse.buffalo.edu/~<wbr>knepley/</a><br>
</div>
</div>
</div>
</div>
</div>
</font></span></div>
</div>
</blockquote>
<br>
</div>
</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div>What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead.<br>-- Norbert Wiener</div><div><br></div><div><a href="http://www.caam.rice.edu/~mk51/" target="_blank">https://www.cse.buffalo.edu/~knepley/</a><br></div></div></div></div></div>
</div></div>