TY - JOUR T1 - A Filtered-Davidson Method for Large Symmetric Eigenvalue Problems JO - East Asian Journal on Applied Mathematics VL - 1 SP - 21 EP - 37 PY - 2018 DA - 2018/02 SN - 7 DO - http://doi.org/10.4208/eajam.160816.131016a UR - https://global-sci.org/intro/article_detail/eajam/10732.html KW - Symmetric eigenproblem, filtering technique, Chebyshev polynomials, Krylov subspace, Davidson-type method. AB -

For symmetric eigenvalue problems, we constructed a three-term recurrence polynomial filter by means of Chebyshev polynomials. The new filtering technique does not need to solve linear systems and only needs matrix-vector products. It is a memory conserving filtering technique for its three-term recurrence relation. As an application, we use this filtering strategy to the Davidson method and propose the filtered-Davidson method. Through choosing suitable shifts, this method can gain cubic convergence rate locally. Theory and numerical experiments show the efficiency of the new filtering technique.