An energy-dependent partitioning scheme is explored for extracting a small number of eigenvalues of a real symmetricmatrix with the help of a serial as well as parallel genetic algorithm (GA). The proposed method is ...
详细信息
An energy-dependent partitioning scheme is explored for extracting a small number of eigenvalues of a real symmetricmatrix with the help of a serial as well as parallel genetic algorithm (GA). The proposed method is tested on two matrices (up to 2000 x 2000) with an increasing number of processors in a master- slave architecture. A comparison is made with the Jacobi-Davidson method in serial mode as implemented in the JDQZ-package. Different partition sizes are used. Traditionally used Lowdin's method is also tested in both serial and parallel modes. The advantages and disadvantages of the parallel GA-based method in solving the partitioned eigenvalueproblem are analyzed.
暂无评论