Issue with finding eigenvalues with smallest magnitude using eigs

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I have a large Hermitian sparse matrix, and I'd like to get a few of the eigenvalues with the smallest magnitude. I'm using the "eigs" function in Arpack however I get this error message:

ZeroPivotException: factorization encountered one or more zero pivots. Consider switching to a pivoted LU factorization.

Does anyone know how to get around this error? Is it possible to add an argument to eigs to use pivoted LU factorization instead?

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