Research Article
Identification of Flexural Rigidity in a Kirchhoff Plates Model Using a Convex Objective and Continuous Newton Method
Table 1
Performance results for the MOLS and OLS methods.
| Method | Algorithm | Iterations | -error | Min. | Max. |
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Example 1: , , and | MOLS | Continuous Newton | 95 | 5.53e − 05 | 1.2981e − 06 | 1.6089e − 06 | fminunc | 71 | 2.71e − 04 | — | — | OLS | Continuous Newton | 184 | 3.32e − 02 | −5.6394e − 06 | 4.9100e − 07 | fminunc | 77 | 5.39e − 02 | — | — |
| Example 2: , , and | MOLS | Continuous Newton | 26 | 1.67e − 04 | 3.9702e − 03 | 7.2222e − 02 | fminunc | 63 | 2.68e − 06 | — | — | OLS | Continuous Newton | 662 | 2.44e − 02 | 2.9112e − 06 | 4.3008e − 03 | fminunc | 97 | 2.44e − 02 | — | — |
| Example 3: , , and | MOLS | Continuous Newton | 112 | 2.98e − 03 | 1.2992e − 08 | 1.3792e − 08 | fminunc | 79 | 2.65e − 03 | — | — | OLS | Continuous Newton | 442 | 5.13e − 01 | 5.5219e − 09 | 1.1703e − 08 | fminunc | 69 | 1.22e − 01 | — | — |
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