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Table 1 Comparison of the ranked experiments according to the optimal and approximate methods

From: An experimental design framework for Markovian gene regulatory networks under stationary control policy

  \(\mathcal {E}_{1^{\prime }}\) \(\mathcal {E}_{2^{\prime }}\) \(\mathcal {E}_{3^{\prime }}\) \(\mathcal {E}_{4^{\prime }}\) \(\mathcal {E}_{5^{\prime }}\)
(a) L=0 (no initial data)      
Optimal 1.2215 1.2305 1.2399 1.2433 1.2427
Approximate 1.2246 1.2340 1.2388 1.2390 1.2416
(b) L=10      
Optimal 1.1615 1.1736 1.1780 1.1790 1.1792
Approximate 1.1646 1.1747 1.1767 1.1775 1.1779
(c) L=20      
Optimal 1.1573 1.1660 1.1706 1.1720 1.1705
Approximate 1.1598 1.1665 1.1701 1.1704 1.1695
(d) L=50      
Optimal 1.1463 1.1534 1.1558 1.1560 1.1561
Approximate 1.1487 1.1529 1.1557 1.1547 1.1557