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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.00297 |
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| _version_ | 1866916675749675008 |
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| author | Klibanov, Michael V. Truong, Trung |
| author_facet | Klibanov, Michael V. Truong, Trung |
| contents | It is proposed to monitor spatial and temporal spreads of epidemics via solution of a Coefficient Inverse Problem for a system of three coupled nonlinear parabolic equations. To solve this problem numerically, a version of the so-called Carleman contraction mapping method is developed for this problem. On each iteration, a linear problem with the incomplete lateral Cauchy data is solved by the weighted Quasi-Reversibility Method, where the weight is the Carleman Weight Function. This is the function, which is involved as the weight in the Carleman estimate for the corresponding parabolic operator. Convergence analysis ensures the global convergence of this procedure. Numerical results demonstrate an accurate performance of this technique for noisy data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_00297 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Carleman Contraction Mapping Method for a Coefficient Inverse Problem of the Epidemiology Klibanov, Michael V. Truong, Trung Numerical Analysis 35R30 It is proposed to monitor spatial and temporal spreads of epidemics via solution of a Coefficient Inverse Problem for a system of three coupled nonlinear parabolic equations. To solve this problem numerically, a version of the so-called Carleman contraction mapping method is developed for this problem. On each iteration, a linear problem with the incomplete lateral Cauchy data is solved by the weighted Quasi-Reversibility Method, where the weight is the Carleman Weight Function. This is the function, which is involved as the weight in the Carleman estimate for the corresponding parabolic operator. Convergence analysis ensures the global convergence of this procedure. Numerical results demonstrate an accurate performance of this technique for noisy data. |
| title | The Carleman Contraction Mapping Method for a Coefficient Inverse Problem of the Epidemiology |
| topic | Numerical Analysis 35R30 |
| url | https://arxiv.org/abs/2412.00297 |