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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