Sharma, Rahul ; Nandy, Subbajit ; Bhattacharyya, S. P. (2006) On solving energy-dependent partitioned eigenvalue problem by genetic algorithm: the case of real symmetric Hamiltonian matrices Pramana - Journal of Physics, 66 (6). pp. 1125-1130. ISSN 0304-4289
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Official URL: http://www.ias.ac.in/pramana/v66/p1125/fulltext.pd...
Related URL: http://dx.doi.org/10.1007/BF02708466
Abstract
An energy-dependent partitioning scheme is explored for extracting a small number of eigenvalues of a real symmetric matrix with the help of genetic algorithm. The proposed method is tested with matrices of different sizes (30 × 30 to 1000 × 1000). Comparison is made with Lowdin's strategy for solving the problem. The relative advantages and disadvantages of the GA-based method are analyzed
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Indian Academy of Sciences. |
| Keywords: | Symmetric Eigenvalue Problem; Genetic Algorithm; Partitioning Techniques; Energy-dependent Partitioning; Lowdin's Method |
| ID Code: | 3191 |
| Deposited On: | 11 Oct 2010 10:00 |
| Last Modified: | 16 May 2016 14:02 |
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