Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Anomaly detection in random heterogeneous media : Feynman-Kac formulae, stochastic homogenization and statistical inversion / Martin Simon ; with a foreword by prof. dr. Lassi Päivärinta
| Anomaly detection in random heterogeneous media : Feynman-Kac formulae, stochastic homogenization and statistical inversion / Martin Simon ; with a foreword by prof. dr. Lassi Päivärinta |
| Autore | Simon, Martin |
| Pubbl/distr/stampa | Wiesbaden, : Springer spektrum, 2015 |
| Descrizione fisica | XIV, 150 p. : ill. ; 24 cm |
| Soggetto topico |
60H15 - Stochastic partial differential equations (aspects of stochastic analysis) [MSC 2020]
82-XX - Statistical mechanics, structure of matter [MSC 2020] 82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Applied probability theory
Calderón’s inverse conductivity problem EIT Electrical impedance tomography Partial differential equations Random media Statistical inverse problems Stochastic Analysis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113925 |
Simon, Martin
|
||
| Wiesbaden, : Springer spektrum, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Anomaly detection in random heterogeneous media : Feynman-Kac formulae, stochastic homogenization and statistical inversion / Martin Simon ; with a foreword by prof. dr. Lassi Päivärinta
| Anomaly detection in random heterogeneous media : Feynman-Kac formulae, stochastic homogenization and statistical inversion / Martin Simon ; with a foreword by prof. dr. Lassi Päivärinta |
| Autore | Simon, Martin |
| Pubbl/distr/stampa | Wiesbaden, : Springer spektrum, 2015 |
| Descrizione fisica | XIV, 150 p. : ill. ; 24 cm |
| Soggetto topico |
60H15 - Stochastic partial differential equations (aspects of stochastic analysis) [MSC 2020]
82-XX - Statistical mechanics, structure of matter [MSC 2020] 82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Applied probability theory
Calderón’s inverse conductivity problem EIT Electrical impedance tomography Partial Differential Equations Random media Statistical inverse problems Stochastic Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113925 |
|
Simon, Martin
|
||
| Wiesbaden, : Springer spektrum, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize
| Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize |
| Autore | Soize, Christian |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxii, 329 p. : ill. ; 24 cm |
| Soggetto topico |
47-XX - Operator theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
High Stochastic Dimension
MCMC Methods Maximum Entropy Principle Model Uncertainties Model-parameter Uncertainties Non-Gaussian Random Fields Nonparametric Uncertainties Polynomial Chaos Expansion Random matrices Robust Design Statistical inverse problems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123409 |
|
Soize, Christian
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize
| Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize |
| Autore | Soize, Christian |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxii, 329 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 47-XX - Operator theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
High Stochastic Dimension
MCMC Methods Maximum Entropy Principle Model Uncertainties Model-parameter Uncertainties Non-Gaussian Random Fields Nonparametric Uncertainties Polynomial Chaos Expansion Random matrices Robust Design Statistical inverse problems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123409 |
|
Soize, Christian
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||