Eigenvalue Solver (SYEVJ)

Symmetric Matrix Jacobi based Eigen Value Decomposition (SYEVJ)

$$A U = U \Sigma$$

where $A$ is a dense symmetric matrix of size $m \times m$, $U$ is a $m \times m$ matrix with orthonormal columns, each column of U is the eigenvector $v_{i}$, and $\Sigma$ is diagonal matrix, which contains the eigenvalues $\lambda_{i}$ of matrix A. The maximum matrix size supported in FPGA is templated by NMAX.