### LOBPCG method for Eigen Value Computation.

Posted:

**Sun Oct 18, 2015 7:20 am**Hi,

I am new to MAGMA. I want to find the top K(K is a very small number) eigen vectors of a sparse symmetric matrix whose dimension is more than 30000. In addition, the matrix in consideration is positive semi definite. However, I am not able to understand the arguments that needs to be passed to the magma_slobpcg function for the magma_s_solver_par and the magma_s_preconditioner structures. I wanted to know the parameters that I have to set as a minimum requirement. Also, what parameters that i could enable to perform the calculations faster?

Thanks in advance,

Nithish

I am new to MAGMA. I want to find the top K(K is a very small number) eigen vectors of a sparse symmetric matrix whose dimension is more than 30000. In addition, the matrix in consideration is positive semi definite. However, I am not able to understand the arguments that needs to be passed to the magma_slobpcg function for the magma_s_solver_par and the magma_s_preconditioner structures. I wanted to know the parameters that I have to set as a minimum requirement. Also, what parameters that i could enable to perform the calculations faster?

Thanks in advance,

Nithish