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A new iterative method for generalized eigenvalue problem

عنوان مقاله: A new iterative method for generalized eigenvalue problem
شناسه ملی مقاله: CSCG03_282
منتشر شده در سومین کنفرانس بین المللی محاسبات نرم در سال 1398
مشخصات نویسندگان مقاله:

Ali Jamalian - Department of Computer Science, University of Guilan
Amir Hossein Refahi Sheikhani - Department of Applied Mathematics, Faculty of Mathematical Sciences, Lahijan Branch, Islamic Azad University
Hossein Aminikhah - Department of Applied Mathematics and Computer Science, University of Guilan

خلاصه مقاله:
In this paper, we present a new and efficient iterative method based on the Lanczos method and Jaya optimizer for computing a few eigenpairs of large and sparse symmetric positive definite eigenvalue problem. For this purpose, a hybrid of restarted Lanczos algorithm and Jaya optimization algorithm is proposed which is called Jaya-Lanczos algorithm. The implementation of the proposed algorithm has been tested by numerical experiments, the results show that the algorithm converges fast and works with high accuracy.

کلمات کلیدی:
Lanczos algorithm, Jaya optimization algorithm, Generalized eigenproblem, Iterative method, Symmetric definite matrix.

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1006221/