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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
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| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Andrei, Neculai
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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Andrei, Neculai
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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