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Hello,</div>
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I am a complete newbe so sorry if this is answered elsewhere or ill-posed but .. I am trying to get the smallest eigenvector of a large matrix. Since the calculations are very long, I would like to be able to restart my code if I find that the "converged"
eigenvector is not good enough without having to start from scratch. I am currently using the options </div>
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<br>
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-eps_type jd -eps_monitor -eps_smallest_real -eps_conv_abs -eps_tol 1e-8 -st_ksp_type gmres -st_pc_type jacobi -st_ksp_max_it 40<br>
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Is there any way to do this? I have tried using EPSSetInitialSubspace with the stored eigenvector but this does not seem to work. </div>
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thanks </div>
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jim</div>
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<div>% James F. Lutsko, CNLPCS, Universite Libre de Bruxelles,</div>
<div>% Campus Plaine -- CP231 B-1050 Bruxelles, Belgium</div>
<div>% tel: +32-2-650-5997 email: jlutsko@ulb.ac.be</div>
% fax: +32-2-650-5767<br>
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