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<div>Dear all,</div>
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<div>I am dealing with large, sparse symmetric (and hermitian) matrices (N ~ 1e5) and I am using slepc in order to solve them.</div>
<div>For now, I was using the matrix type MATMPISBAIJ to fill my matrix in parallel and I was solving the EVP for the EPS_SMALLEST_REAL eigenvalues just fine.</div>
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<div>Now I am dealing with spectra, where I am not desired in knowing the small real part of the eigenvalue spectrum, but rather in some energy interval - thus, making me want to use spectrum slicing.</div>
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<div>For that I have browsed your documentation and now I am a little concerned on what to do.</div>
<div>I saw that my matrix type is not supported for LU decomposition, so I have converted my matrix to type <span style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">MATMPIAIJ.</span></div>
<div>There is this table here (<a href="https://urldefense.us/v3/__https://petsc.org/release/overview/linear_solve_table/__;!!G_uCfscf7eWS!e_EQDlcM6bSB8ayYFeVL6q8O-g91z5wOtB-pL91VevkcE-S7h_vfKV-Tx7PRpJRVsRJuYkvple6k1IZvvAPGGWPJsYRnSAPKf3SZ$">https://petsc.org/release/overview/linear_solve_table/</a>), where I found which solvers are available for which matrix type.</div>
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<div>What I can not fully understand are the columns Parallel and Complex. What does it mean to have an X in there, does it mean it is possible or not?</div>
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<div>Do I need to compile Petsc with external LU-solver packages or not?</div>
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<div>Thanks in advance for your reply!</div>
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<div>Best,</div>
<div>Franz</div>
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<div>---------------------------------------------------------<br>
MSc. Franz Fischer<br>
Universität Hamburg<br>
HARBOR, Geb. 610<br>
Luruper Chaussee 149<br>
D-22761 Hamburg<br>
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