A Nonlinear QR Algorithm for Banded Nonlinear Eigenvalue Problems

作者：Garrett C Kristopher^*; Bai Zhaojun; Li Ren Cang

来源：ACM Transactions on Mathematical Software, 2016, 43(1): 4.

DOI：10.1145/2870628

• Nonlinear eigenvalue problem
• banded
• Kublanovskaya

A variation of Kublanovskaya's nonlinear QR method for solving banded nonlinear eigenvalue problems is presented in this article. The new method is iterative and specifically designed for problems too large to use dense linear algebra techniques. For the unstructurally banded nonlinear eigenvalue problem, a new data structure is used for storing the matrices to keep memory and computational costs low. In addition, an algorithm is presented for computing several nearby nonlinear eigenvalues to already-computed ones. Finally, numerical examples are given to show the efficacy of the new methods, and the source code has been made publicly available.

• 出版日期2016-8
• 单位Los Alamos