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Novel Mathematics Inspired by Industrial Challenges / Michael Günther, Wil Schilders editors
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
Opac: Controlla la disponibilità qui
Novel Mathematics Inspired by Industrial Challenges / Michael Günther, Wil Schilders editors
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
Opac: Controlla la disponibilità qui