A new iterative method for generalized eigenvalue problem

Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

CSCG03_282

تاریخ نمایه سازی: 14 فروردین 1399

Abstract:

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.

Authors

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