Eigenvalue Decomposition A=V*D*V^T
Random symmetric matrix A:
    -0.503     -0.779     -0.066      0.543      0.315 
    -0.779     -0.134     -0.292      0.888     -0.797 
    -0.066     -0.292      0.285     -0.943     -0.504 
     0.543      0.888     -0.943      -0.36       0.98 
     0.315     -0.797     -0.504       0.98      0.364 
Number of sweeps=6
V^T*A*V (should be diagonal):
     -2.16  -3.66e-14  -4.48e-09  -3.33e-16  -1.67e-16 
 -3.67e-14     -0.574  -4.64e-14   6.59e-10  -2.36e-16 
 -4.48e-09  -4.65e-14     -0.533  -8.13e-11  -1.67e-16 
 -3.61e-16   6.59e-10  -8.13e-11       1.08  -7.89e-10 
 -1.67e-16  -2.22e-16  -1.11e-16  -7.89e-10       1.84 
Eigenvalues (should equal the diagonal elements above):
     -2.16     -0.574     -0.533       1.08       1.84