I am attempting to solve an SDP problem using CVX. Unfortunately, I haven’t been able to obtain a result, as the solver terminates with the message ‘Status: Infeasible’. The code I am using, and the associated variables are as follows:
N --> 500
max_beta --> 0.0056
min_beta —> 0.0011
D —> diag(delta_i) [500 x 500], where delta_i is a 500x1 vector with all entries being equal to 0.1
eps --> 0.5
min_gamma —> 1/max_beta = 178.2332
max_gamma --> 1/min_beta = 891.1659
A —> 500 x 500 matrix, with dominant eigenvalue 21.38
This code is based on the work completed in this paper:
17|0.000|0.000|5.3e-02|3.5e-01|5.5e+12|-1.286176e+18 1.283034e+02| 0:0:02|
prim_inf,dual_inf,relgap = 5.34e-02, 3.54e-01, 4.26e-06
sqlp stop: dual problem is suspected of being infeasible
number of iterations = 17
residual of dual infeasibility
certificate X = 5.17e-20
reldist to infeas. <= 1.45e-19
Total CPU time (secs) = 2.49
CPU time per iteration = 0.15
termination code = 2
DIMACS: 5.5e-02 0.0e+00 7.9e+00 0.0e+00 -1.0e+00 4.3e-06
Status: Infeasible
Optimal value (cvx_optval): +Inf