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Delay Differential Equations and Applications to Biology / Fathalla A. Rihan
Delay Differential Equations and Applications to Biology / Fathalla A. Rihan
Autore Rihan, Fathalla A.
Pubbl/distr/stampa Singapore, : Springer, 2021
Descrizione fisica xvii, 286 p. : ill. ; 24 cm
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020]
Soggetto non controllato Biological Systems
COVID-19
Cell proliferations
Continuous RK methods
Continuous RK schemes
Delay Differential Equations
Fractional Order
HIV
Immunology
Infectious Diseases
Least squares approach
Lyapunov functional
Mathematical modelling
Parameter estimations
Sensitivity
Stability
Time delays
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0275449
Rihan, Fathalla A.  
Singapore, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Delay Differential Equations and Applications to Biology / Fathalla A. Rihan
Delay Differential Equations and Applications to Biology / Fathalla A. Rihan
Autore Rihan, Fathalla A.
Pubbl/distr/stampa Singapore, : Springer, 2021
Descrizione fisica xvii, 286 p. : ill. ; 24 cm
Soggetto topico 34-XX - Ordinary differential equations [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020]
Soggetto non controllato Biological Systems
COVID-19
Cell proliferations
Continuous RK methods
Continuous RK schemes
Delay Differential Equations
Fractional Order
HIV
Immunology
Infectious Diseases
Least squares approach
Lyapunov functional
Mathematical modelling
Parameter estimations
Sensitivity
Stability
Time delays
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00275449
Rihan, Fathalla A.  
Singapore, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches / Antonio Lepore, Biagio Palumbo, Jean-Michel Poggi editors
Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches / Antonio Lepore, Biagio Palumbo, Jean-Michel Poggi editors
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica vii, 123 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020]
62P35 - Applications of statistics to physics [MSC 2020]
Soggetto non controllato Additive Manufacturing Systems
Generalized additive models
Interpretability
Machine learning
Sensitivity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0277671
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches / Antonio Lepore, Biagio Palumbo, Jean-Michel Poggi editors
Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches / Antonio Lepore, Biagio Palumbo, Jean-Michel Poggi editors
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica vii, 123 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020]
62P35 - Applications of statistics to physics [MSC 2020]
Soggetto non controllato Additive Manufacturing Systems
Generalized additive models
Interpretability
Machine learning
Sensitivity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00277671
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Lectures on Variational Analysis / Asen L. Dontchev
Lectures on Variational Analysis / Asen L. Dontchev
Autore Dontchev, Asen L.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xii, 219 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49J40 - Variational inequalities [MSC 2020]
49J53 - Set-valued and variational analysis [MSC 2020]
49J52 - Nonsmooth analysis [MSC 2020]
49N10 - Linear-quadratic optimal control problems [MSC 2020]
49N45 - Inverse problems in optimal control [MSC 2020]
49N35 - Optimal feedback synthesis [MSC 2020]
Soggetto non controllato Constrained optimization
Lipschitz stability
Mathematical programming
Metric regularity
Non-smooth Analysis
Optimal Control
Sensitivity
Set-valued analysis
Strong regularity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274867
Dontchev, Asen L.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Lectures on Variational Analysis / Asen L. Dontchev
Lectures on Variational Analysis / Asen L. Dontchev
Autore Dontchev, Asen L.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xii, 219 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49J40 - Variational inequalities [MSC 2020]
49J52 - Nonsmooth analysis [MSC 2020]
49J53 - Set-valued and variational analysis [MSC 2020]
49N10 - Linear-quadratic optimal control problems [MSC 2020]
49N35 - Optimal feedback synthesis [MSC 2020]
49N45 - Inverse problems in optimal control [MSC 2020]
Soggetto non controllato Constrained optimization
Lipschitz stability
Mathematical programming
Metric regularity
Non-smooth Analysis
Optimal Control
Sensitivity
Set-valued analysis
Strong regularity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274867
Dontchev, Asen L.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Sensitivity of Functionals with Applications to Engineering Sciences : Proceedings of a Special Session of the American Mathematical Society Spring Meeting held in New York City, May 1983 / edited by Vadim Komkov
Sensitivity of Functionals with Applications to Engineering Sciences : Proceedings of a Special Session of the American Mathematical Society Spring Meeting held in New York City, May 1983 / edited by Vadim Komkov
Pubbl/distr/stampa Berlin, : Springer, 1984
Descrizione fisica viii, 132 p. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
00Bxx - Conference proceedings and collections of articles [MSC 2020]
74-XX - Mechanics of deformable solids [MSC 2020]
Soggetto non controllato Applications
Design
Differential equations
Engineering
Modeling
Optimization
Sensitivity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0263403
Berlin, : Springer, 1984
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Sensitivity of Functionals with Applications to Engineering Sciences : Proceedings of a Special Session of the American Mathematical Society Spring Meeting held in New York City, May 1983 / edited by Vadim Komkov
Sensitivity of Functionals with Applications to Engineering Sciences : Proceedings of a Special Session of the American Mathematical Society Spring Meeting held in New York City, May 1983 / edited by Vadim Komkov
Pubbl/distr/stampa Berlin, : Springer, 1984
Descrizione fisica viii, 132 p. ; 24 cm
Soggetto topico 00Bxx - Conference proceedings and collections of articles [MSC 2020]
49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
74-XX - Mechanics of deformable solids [MSC 2020]
Soggetto non controllato Applications
Design
Differential equations
Engineering
Modeling
Optimization
Sensitivity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00263403
Berlin, : Springer, 1984
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui