Novel Mathematics Inspired by Industrial Challenges / Michael Günther, Wil Schilders editors |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xxi, 337 p. : ill. ; 24 cm |
Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020] 62-XX - Statistics [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 94-XX - Information and communication theory, circuits [MSC 2020] |
Soggetto non controllato |
Application driven research
Applied Mathematics Complex data Computational science and engineering Data analysis and finance Discrete mathematics Functional data analysis Industrial mathematics Industrial problems Machine learning Numerical Analysis Persistent Homology Prediction models Quantization Methods Stochastic differential equations Topological Data Analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277971 |
Cham, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Novel Mathematics Inspired by Industrial Challenges / Michael Günther, Wil Schilders editors |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xxi, 337 p. : ill. ; 24 cm |
Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020] 62-XX - Statistics [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 94-XX - Information and communication theory, circuits [MSC 2020] |
Soggetto non controllato |
Application driven research
Applied Mathematics Complex data Computational science and engineering Data analysis and finance Discrete mathematics Functional data analysis Industrial mathematics Industrial problems Machine learning Numerical Analysis Persistent Homology Prediction models Quantization Methods Stochastic differential equations Topological Data Analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00277971 |
Cham, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|