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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
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
| ||
Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology / Neculai Andrei
| Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxiv, 506 p. : ill. ; 24 cm |
| Soggetto topico |
90C51 - Interior-point methods [MSC 2020]
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020] 90C30 - Nonlinear programming [MSC 2020] |
| Soggetto non controllato |
Alkylation process
Computational science Continuous nonlinear optimization Filter methods GAMS technology Interior Point Filter Line Search Lagrangian methods Large-Scale Constrained Optimization Linearly Constrained Augmented Lagrangian MINOS Mathematical modeling Nonlinear optimization modeling Penalty-Barrier Algorithm Quadratic programming SPENBAR Sequential Linear Quadratic Programming Sequential quadratic programming |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124263 |
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Andrei, Neculai
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology / Neculai Andrei
| Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxiv, 506 p. : ill. ; 24 cm |
| Soggetto topico |
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020]
90C30 - Nonlinear programming [MSC 2020] 90C51 - Interior-point methods [MSC 2020] |
| Soggetto non controllato |
Alkylation process
Computational science Continuous nonlinear optimization Filter methods GAMS technology Interior Point Filter Line Search Lagrangian methods Large-Scale Constrained Optimization Linearly Constrained Augmented Lagrangian MINOS Mathematical modeling Nonlinear optimization modeling Penalty-Barrier Algorithm Quadratic programming SPENBAR Sequential Linear Quadratic Programming Sequential quadratic programming |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124263 |
|
Andrei, Neculai
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology / Neculai Andrei
| Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology / Neculai Andrei |
| Autore | Andrei, Neculai |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | xxiv, 506 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
90C51 - Interior-point methods [MSC 2020]
65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020] 90C30 - Nonlinear programming [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124263 |
|
Andrei, Neculai
|
||
| xxiv, 506 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Numerical Nonlinear Optimization / Neculai Andrei
| Modern Numerical Nonlinear Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxxiii, 807 p. : ill. ; 24 cm |
| Soggetto non controllato |
Augmented Lagrangian
Conjugate Gradient Method Constrained nonlinear optimization Filter methods Inexact Newton method Interior point methods Newton method Penalty Lagrangian Quadratic programming Quasi-Newton Methods Sequential quadratic programming Simple bound optimization Steepest Descent Method Stepsize computation Trust-region method Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277959 |
|
Andrei, Neculai
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Numerical Nonlinear Optimization / Neculai Andrei
| Modern Numerical Nonlinear Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxxiii, 807 p. : ill. ; 24 cm |
| Soggetto non controllato |
Augmented Lagrangian
Conjugate Gradient Method Constrained nonlinear optimization Filter methods Inexact Newton method Interior point methods Newton method Penalty Lagrangian Quadratic programming Quasi-Newton Methods Sequential quadratic programming Simple bound optimization Steepest Descent Method Stepsize computation Trust-region method Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277959 |
|
Andrei, Neculai
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei
| Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxviii, 498 p. : ill. ; 24 cm |
| Soggetto topico |
90C90 - Applications of mathematical programming [MSC 2020]
90C30 - Nonlinear programming [MSC 2020] 49M37 - Numerical methods based on nonlinear programming [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 90C06 - Large-scale problems in mathematical programming [MSC 2020] |
| Soggetto non controllato |
BFGS method
Conjugate Gradient Method Conjugate gradient algorithm Dai and Lao Quasi-Newton method Steepest Descent Method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249538 |
|
Andrei, Neculai
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei
| Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxviii, 498 p. : ill. ; 24 cm |
| Soggetto topico |
49M37 - Numerical methods based on nonlinear programming [MSC 2020]
65K05 - Numerical mathematical programming methods [MSC 2020] 90C06 - Large-scale problems in mathematical programming [MSC 2020] 90C30 - Nonlinear programming [MSC 2020] 90C90 - Applications of mathematical programming [MSC 2020] |
| Soggetto non controllato |
BFGS method
Conjugate Gradient Method Conjugate gradient algorithm Dai and Lao Quasi-Newton method Steepest Descent Method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249538 |
|
Andrei, Neculai
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
