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New Trends in Parameter Identification for Mathematical Models / Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli editors
| New Trends in Parameter Identification for Mathematical Models / Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2018 |
| Descrizione fisica | viii, 345 p. : ill. ; 24 cm |
| Soggetto topico |
47A52 - Linear operators and ill-posed problems, regularization [MSC 2020]
35R30 - Inverse problems for PDEs [MSC 2020] 47J06 - Nonlinear ill-posed problems [MSC 2020] 49N45 - Inverse problems in optimal control [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 65F22 - Ill-posedness and regularization problems in numerical linear algebra [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] 65N21 - Numerical methods for inverse problems for boundary value problems involving PDEs [MSC 2020] |
| Soggetto non controllato |
"Bayesian" approach
Ill-posed problems Integral equations of the first kind Inverse Problems Parameter identification Partial differential equations Regularization Statistical regularization Tomography |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124892 |
| Cham, : Birkhäuser, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New Trends in Parameter Identification for Mathematical Models / Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli editors
| New Trends in Parameter Identification for Mathematical Models / Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2018 |
| Descrizione fisica | viii, 345 p. : ill. ; 24 cm |
| Soggetto topico |
35R30 - Inverse problems for PDEs [MSC 2020]
47A52 - Linear operators and ill-posed problems, regularization [MSC 2020] 47J06 - Nonlinear ill-posed problems [MSC 2020] 49N45 - Inverse problems in optimal control [MSC 2020] 65F22 - Ill-posedness and regularization problems in numerical linear algebra [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 65N21 - Numerical methods for inverse problems for boundary value problems involving PDEs [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] |
| Soggetto non controllato |
"Bayesian" approach
Ill-posed problems Integral equations of the first kind Inverse Problems Parameter identification Partial differential equations Regularization Statistical regularization Tomography |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124892 |
| Cham, : Birkhäuser, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New Trends in Parameter Identification for Mathematical Models / Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli editors
| New Trends in Parameter Identification for Mathematical Models / Bernd Hofmann, Antonio Leitão, Jorge P. Zubelli editors |
| Edizione | [Cham : Birkhäuser, 2018] |
| Pubbl/distr/stampa | viii, 345 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
47A52 - Linear operators and ill-posed problems, regularization [MSC 2020]
35R30 - Inverse problems for PDEs [MSC 2020] 47J06 - Nonlinear ill-posed problems [MSC 2020] 49N45 - Inverse problems in optimal control [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 65F22 - Ill-posedness and regularization problems in numerical linear algebra [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] 65N21 - Numerical methods for inverse problems for boundary value problems involving PDEs [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124892 |
| viii, 345 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||