In physical problems, it's quite common that we need solve for specific eigenvalues in the complex plane, e.g. with positive real part and negative imaginary part, in this case we are looking for eigenvalues and associated eigenvectors in the second quadrant.I am curious if the Feast algorithm could deliver faster and more accurate results for this kind of problem(dense as well), with respect to solving the full problem using GEEV routine from Lapack and do the sorting explicitly. Does anyone have experience or suggestion?
Compute specific eigenvalues in the complex plane with Feast?
linear algebra;eigenvalues;lapack