e notice that the estimation of Pr(X 0 ≤ X 0) stabilizes as the sample size N increases.  Fig. 0.00  Convergence of the estimation of Pr(X 0 ≤ X 0) with the sample size for the Finland instance of the routing and wavelength assignment problem.  Table 0.0  Convergence of the estimation of Pr(X 0 ≤ X 0) with the sample size for the Finland instance of the routing and wavelength assignment problem.  N | L(ɛ) | Pr(X 0 ≤ X 0) | R(ɛ) | Δ(ɛ) | ɛ  ---|---|---|---|---|---  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000  ### 0.0.0 