top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
A Derivative-free Two Level Random Search Method for Unconstrained Optimization / Neculai Andrei
A Derivative-free Two Level Random Search Method for Unconstrained Optimization / Neculai Andrei
Autore Andrei, Neculai
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xi, 118 p. : ill. ; 24 cm
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020]
Soggetto non controllato Derivative methods
Modified Wolfe functions
Nelder-Mead algorithm
Random search method
Trial points
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274508
Andrei, Neculai  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A Derivative-free Two Level Random Search Method for Unconstrained Optimization / Neculai Andrei
A Derivative-free Two Level Random Search Method for Unconstrained Optimization / Neculai Andrei
Autore Andrei, Neculai
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xi, 118 p. : ill. ; 24 cm
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020]
Soggetto non controllato Derivative methods
Modified Wolfe functions
Nelder-Mead algorithm
Random search method
Trial points
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274508
Andrei, Neculai  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Applied and Computational Optimal Control : A Control Parametrization Approach / Kok Lay Teo ... [et al.]
Applied and Computational Optimal Control : A Control Parametrization Approach / Kok Lay Teo ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xv, 574 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49Sxx - Variational principles of physics [MSC 2020]
93-XX - Systems theory; control [MSC 2020]
49N35 - Optimal feedback synthesis [MSC 2020]
Soggetto non controllato Canonical optimal control
Constrained mathematical programming
Continuous inequality constraints
Discrete time optimal control
Optimal Control Theory
Optimal control problems
Optimal parameter selection
Stochastic optimal control
Time-Lag optimal control
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274559
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Applied and Computational Optimal Control : A Control Parametrization Approach / Kok Lay Teo ... [et al.]
Applied and Computational Optimal Control : A Control Parametrization Approach / Kok Lay Teo ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xv, 574 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49N35 - Optimal feedback synthesis [MSC 2020]
49Sxx - Variational principles of physics [MSC 2020]
93-XX - Systems theory; control [MSC 2020]
Soggetto non controllato Canonical optimal control
Constrained mathematical programming
Continuous inequality constraints
Discrete time optimal control
Optimal Control Theory
Optimal control problems
Optimal parameter selection
Stochastic optimal control
Time-Lag optimal control
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274559
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Computational Mathematics and Applications / Dia Zeidan ... [et al.] editors
Computational Mathematics and Applications / Dia Zeidan ... [et al.] editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica x, 277 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
35-XX - Partial differential equations [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
76-XX - Fluid mechanics [MSC 2020]
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
Soggetto non controllato Differential equations
FitzHugh–Nagumo equation
Fractional Verhulst model
Industrial mathematics
Liouville–Gibbs theorem
Modelling and analysis
Numerical methods
Probability and Statistics
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0250091
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Computational Mathematics and Applications / Dia Zeidan ... [et al.] editors
Computational Mathematics and Applications / Dia Zeidan ... [et al.] editors
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica x, 277 p. : ill. ; 24 cm
Soggetto topico 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
35-XX - Partial differential equations [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
68-XX - Computer science [MSC 2020]
76-XX - Fluid mechanics [MSC 2020]
Soggetto non controllato Differential equations
FitzHugh–Nagumo equation
Fractional Verhulst model
Industrial mathematics
Liouville–Gibbs theorem
Modelling and analysis
Numerical methods
Probability and Statistics
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00250091
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduction to Continuous Optimization / Roman A. Polyak
Introduction to Continuous Optimization / Roman A. Polyak
Autore Polyak, Roman A.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xvi, 541 p. : ill. ; 24 cm
Soggetto topico 90C30 - Nonlinear programming [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
Soggetto non controllato Affine scaling algorithm
Continuous Optimization
Convex programming
Exterior point method
IPM complexity
Interior ellipsoid method
Interior-Point Method
Lagrange multiplier
Legendre transformation
NR principle
Nonconvex programming
Nonlinear Programming
Nonlinear rescaling
Self-Concordant Functions
Sequential Unconstrained Minimization Technique
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274841
Polyak, Roman A.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduction to Continuous Optimization / Roman A. Polyak
Introduction to Continuous Optimization / Roman A. Polyak
Autore Polyak, Roman A.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xvi, 541 p. : ill. ; 24 cm
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
90C30 - Nonlinear programming [MSC 2020]
Soggetto non controllato Affine scaling algorithm
Continuous Optimization
Convex programming
Exterior point method
IPM complexity
Interior ellipsoid method
Interior-Point Method
Lagrange multiplier
Legendre transformation
NR principle
Nonconvex programming
Nonlinear Programming
Nonlinear rescaling
Self-Concordant Functions
Sequential Unconstrained Minimization Technique
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274841
Polyak, Roman A.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram
Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram
Autore Mishra, Shashi Kant
Pubbl/distr/stampa Singapore, : Springer, 2019
Descrizione fisica xvi, 304 p. : ill. ; 24 cm
Altri autori (Persone) Ram, Bhagwat
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
Soggetto non controllato Basics of R
Conjugate Direction Methods
Conjugate Gradient Method
Newton's method
Numerical optimization
One-dimensional Optimization
Optimization Text
Quasi-Newton Methods
Steepest Descent Method
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127314
Mishra, Shashi Kant  
Singapore, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram
Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram
Autore Mishra, Shashi Kant
Pubbl/distr/stampa Singapore, : Springer, 2019
Descrizione fisica xvi, 304 p. : ill. ; 24 cm
Altri autori (Persone) Ram, Bhagwat
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
Soggetto non controllato Basics of R
Conjugate Direction Methods
Conjugate Gradient Method
Newton's method
Numerical optimization
One-dimensional Optimization
Optimization Text
Quasi-Newton Methods
Steepest Descent Method
Unconstrained Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00127314
Mishra, Shashi Kant  
Singapore, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui