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1: Basic Numerical Problems : Theory, Algorithms, and Pascal-XSC Programs / R. Hammer ... [et al.]
| 1: Basic Numerical Problems : Theory, Algorithms, and Pascal-XSC Programs / R. Hammer ... [et al.] |
| Pubbl/distr/stampa | Berlin [etc.], : Springer-Verlag, 1993 |
| Descrizione fisica | xv, 337 p. : ill. ; 24 cm |
| Soggetto topico |
12-XX - Field theory and polynomials [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65D25 - Numerical differentiation [MSC 2020] 65F05 - Direct numerical methods for linear systems and matrix inversion [MSC 2020] 65G30 - Interval and finite arithmetic [MSC 2020] 65H10 - Numerical computation of solutions to systems of equations [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 65Y20 - Complexity and performance of numerical algorithms [MSC 2020] 68W30 - Symbolic computation and algebraic computation [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] |
| Soggetto non controllato |
Algorithms
Automatic Result Verification Numerical Analysis Numerics Optimization Program verification Programming Scientific Computing Self-Verifying Numerics Simplification Simplification of Programming Verification Verified Computing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00290605 |
| Berlin [etc.], : Springer-Verlag, 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization / Stefan Rocktäschel
| A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization / Stefan Rocktäschel |
| Autore | Rocktäschel, Stefan |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2020 |
| Descrizione fisica | viii, 70 p. : ill. ; 24 cm |
| Soggetto topico |
90C25 - Convex programming [MSC 2020]
65K05 - Numerical mathematical programming methods [MSC 2020] 90C57 - Polyhedral combinatorics, branch-and-bound, branch-and-cut [MSC 2020] 90C11 - Mixed integer programming [MSC 2020] 90C29 - Multi-objective and goal programming [MSC 2020] |
| Soggetto non controllato |
Algorithm
Branch and bound Convex Mixed integer programming Multiobjective programming Nonlinear optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248518 |
Rocktäschel, Stefan
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| Wiesbaden, : Springer Spektrum, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization / Stefan Rocktäschel
| A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization / Stefan Rocktäschel |
| Autore | Rocktäschel, Stefan |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2020 |
| Descrizione fisica | viii, 70 p. : ill. ; 24 cm |
| Soggetto topico |
65K05 - Numerical mathematical programming methods [MSC 2020]
90C11 - Mixed integer programming [MSC 2020] 90C25 - Convex programming [MSC 2020] 90C29 - Multi-objective and goal programming [MSC 2020] 90C57 - Polyhedral combinatorics, branch-and-bound, branch-and-cut [MSC 2020] |
| Soggetto non controllato |
Algorithm
Branch and bound Convex Mixed integer programming Multiobjective programming Nonlinear optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248518 |
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Rocktäschel, Stefan
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| Wiesbaden, : Springer Spektrum, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian and High-Dimensional Global Optimization / Anatoly Zhigljavsky, Antanas Žilinskas
| Bayesian and High-Dimensional Global Optimization / Anatoly Zhigljavsky, Antanas Žilinskas |
| Autore | Zhigljavsky, Anatoly |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | viii, 118 p. : ill. ; 24 cm |
| Altri autori (Persone) | Žilinskas, Antanas |
| Soggetto topico |
90C15 - Stochastic programming [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020] |
| Soggetto non controllato |
Bayesian global optimization
Expensive black-box functions Global optimization Global random search High-dimensional optimization Matrix theory Multidimensional spaces and sets P-algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274585 |
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Zhigljavsky, Anatoly
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian and High-Dimensional Global Optimization / Anatoly Zhigljavsky, Antanas Žilinskas
| Bayesian and High-Dimensional Global Optimization / Anatoly Zhigljavsky, Antanas Žilinskas |
| Autore | Zhigljavsky, Anatoly A. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | viii, 118 p. : ill. ; 24 cm |
| Altri autori (Persone) | Žilinskas, Antanas |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
65K05 - Numerical mathematical programming methods [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020] |
| Soggetto non controllato |
Bayesian global optimization
Expensive black-box functions Global optimization Global random search High-dimensional optimization Matrix theory Multidimensional spaces and sets P-algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274585 |
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Zhigljavsky, Anatoly A.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications / by Jonas Mockus ... [et al.]
| Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications / by Jonas Mockus ... [et al.] |
| Pubbl/distr/stampa | Dordrecht, : Springer, : Kluwer, 1997 |
| Descrizione fisica | xv, 396 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65K05 - Numerical mathematical programming methods [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] |
| Soggetto non controllato |
Algorithms
Chemical engineering Combinatorics Decision theory Genetic Algorithms Global optimization Linear optimization Mathematical statistics Networks Nonlinear optimization Operations Research Optimization Scheduling Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00297706 |
| Dordrecht, : Springer, : Kluwer, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Convex analysis and global optimization / by Hoang Tuy
| Convex analysis and global optimization / by Hoang Tuy |
| Autore | Tuy, Hoang |
| Pubbl/distr/stampa | Dordrecht, : Springer, : Kluwer, 1998 |
| Descrizione fisica | xi, 339 p. : ill. ; 24 cm |
| Soggetto topico |
49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49J52 - Nonsmooth analysis [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 90C30 - Nonlinear programming [MSC 2020] |
| Soggetto non controllato |
Concave Minimization
Convex Sets Convex functions Decomposition method Fixed Point and Equilibrium Global optimization Minimax theorem Monotonic optimization Nonconvex Quadratic Programming Polynomial optimization Quadratic optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00298476 |
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Tuy, Hoang
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| Dordrecht, : Springer, : Kluwer, 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Convex Optimization with Computational Errors / Alexander J. Zaslavski
| Convex Optimization with Computational Errors / Alexander J. Zaslavski |
| Autore | Zaslavski, Alexander J. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 360 p. : ill. ; 24 cm |
| Soggetto topico |
90C25 - Convex programming [MSC 2020]
49M37 - Numerical methods based on nonlinear programming [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] |
| Soggetto non controllato |
Composite objective function
Computational error Convex Optimization Convex functions Gradient algorithm Mathematical programming Mirror descent algorithm Nonlinear analysis Nonsmooth problems Smooth objective function Solving real-world optimization problems Subgradient projection algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248947 |
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Zaslavski, Alexander J.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Convex Optimization with Computational Errors / Alexander J. Zaslavski
| Convex Optimization with Computational Errors / Alexander J. Zaslavski |
| Autore | Zaslavski, Alexander J. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 360 p. : ill. ; 24 cm |
| Soggetto topico |
49M37 - Numerical methods based on nonlinear programming [MSC 2020]
65K05 - Numerical mathematical programming methods [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 90C25 - Convex programming [MSC 2020] |
| Soggetto non controllato |
Composite objective function
Computational error Convex Optimization Convex functions Gradient algorithm Mathematical programming Mirror descent algorithm Nonlinear analysis Nonsmooth problems Smooth objective function Solving real-world optimization problems Subgradient projection algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248947 |
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Zaslavski, Alexander J.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deterministic Global Optimization : An Introduction to the Diagonal Approach / Yaroslav D. Sergeyev, Dmitri E. Kvasov
| Deterministic Global Optimization : An Introduction to the Diagonal Approach / Yaroslav D. Sergeyev, Dmitri E. Kvasov |
| Autore | Sergeyev, Yaroslav D. |
| Pubbl/distr/stampa | New York, : Springer, 2017 |
| Descrizione fisica | x, 136 p. : ill. ; 24 cm |
| Altri autori (Persone) | Kvasov, Dmitri E. |
| Soggetto topico |
93B30 - System identification [MSC 2020]
94A12 - Signal theory (characterization, reconstruction, filtering, etc.) [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] |
| Soggetto non controllato |
Derivative-free methods
Deterministic global optimization Diagonal approach Efficient diagonal partitions Lipschitz condition Lipschitz global optimization Methods using the first Lipschitz derivatives Multiextremal problems Non-smooth and smooth minorants One-dimensional algorithms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123939 |
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Sergeyev, Yaroslav D.
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| New York, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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