Advances in stochastic and deterministic global optimization / Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIII, 296 p. : ill. ; 24 cm |
Soggetto topico |
90C26 - Nonconvex programming, global optimization [MSC 2020]
90C29 - Multi-objective and goal programming [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] |
Soggetto non controllato |
Deterministic algorithms
Global optimization Linear optimization Nonconvex programming Nonlinear Programming Stochastic algorithms |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0114366 |
[Cham], : Springer, 2016 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Advances in stochastic and deterministic global optimization / Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas editors |
Pubbl/distr/stampa | [Cham], : Springer, 2016 |
Descrizione fisica | XIII, 296 p. : ill. ; 24 cm |
Soggetto topico |
68W20 - Randomized algorithms [MSC 2020]
90C26 - Nonconvex programming, global optimization [MSC 2020] 90C29 - Multi-objective and goal programming [MSC 2020] |
Soggetto non controllato |
Deterministic algorithms
Global optimization Linear optimization Nonconvex programming Nonlinear Programming Stochastic algorithms |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00114366 |
[Cham], : Springer, 2016 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Advances in stochastic and deterministic global optimization / Panos M. Pardalos, Anatoly Zhigljavsky, Julius Žilinskas editors |
Edizione | [[Cham] : Springer, 2016] |
Pubbl/distr/stampa | XIII, 296 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
90C26 - Nonconvex programming, global optimization [MSC 2020]
90C29 - Multi-objective and goal programming [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0114366 |
XIII, 296 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Extended Abstracts Summer 2015 : Strategic Behavior in Combinatorial Structures / Josep Díaz, Lefteris Kirousis, Maria Serna ; Quantitative Finance / Luis Ortiz-Gracia Editors |
Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
Descrizione fisica | vi, 139 p. : ill. ; 24 cm |
Soggetto topico |
68W40 - Analysis of algorithms [MSC 2020]
60G07 - General theory of stochastic processes [MSC 2020] 37Nxx - Applications of dynamical systems [MSC 2020] 34E10 - Perturbations, asymptotics of solutions to ordinary differential equation [MSC 2020] 82B26 - Phase transitions (general) in equilibrium statistical mechanics [MSC 2020] 05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 52C45 - Combinatorial complexity of geometric structures [MSC 2020] 91B02 - Fundamental topics (basic mathematics, methodology; applicable to economics in general) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 65T60 - Numerical methods for wavelets [MSC 2020] 60E10 - Characteristic functions; other transforms [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 91B15 - Welfare economics [MSC 2020] |
Soggetto non controllato |
Auctions
Combinatorics Lovatz local lemma Nash equilibria Ordinary differential equations Phase transitions Random graphs Stochastic processes |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123763 |
Cham, : Birkhäuser, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Extended Abstracts Summer 2015 : Strategic Behavior in Combinatorial Structures / Josep Díaz, Lefteris Kirousis, Maria Serna ; Quantitative Finance / Luis Ortiz-Gracia Editors |
Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
Descrizione fisica | vi, 139 p. : ill. ; 24 cm |
Soggetto topico |
05C80 - Random graphs (graph-theoretic aspects) [MSC 2020]
34E10 - Perturbations, asymptotics of solutions to ordinary differential equation [MSC 2020] 37Nxx - Applications of dynamical systems [MSC 2020] 52C45 - Combinatorial complexity of geometric structures [MSC 2020] 60E10 - Characteristic functions; other transforms [MSC 2020] 60G07 - General theory of stochastic processes [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 65T60 - Numerical methods for wavelets [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W40 - Analysis of algorithms [MSC 2020] 82B26 - Phase transitions (general) in equilibrium statistical mechanics [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 91B02 - Fundamental topics (basic mathematics, methodology; applicable to economics in general) [MSC 2020] 91B15 - Welfare economics [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] |
Soggetto non controllato |
Auctions
Combinatorics Lovatz local lemma Nash equilibria Ordinary differential equations Phase transitions Random graphs Stochastic processes |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00123763 |
Cham, : Birkhäuser, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Extended Abstracts Summer 2015 : Strategic Behavior in Combinatorial Structures / Josep Díaz, Lefteris Kirousis, Maria Serna ; Quantitative Finance / Luis Ortiz-Gracia Editors |
Edizione | [Cham : Birkhäuser, 2017] |
Pubbl/distr/stampa | vi, 139 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
68W40 - Analysis of algorithms [MSC 2020]
60G07 - General theory of stochastic processes [MSC 2020] 37Nxx - Applications of dynamical systems [MSC 2020] 34E10 - Perturbations, asymptotics of solutions to ordinary differential equation [MSC 2020] 82B26 - Phase transitions (general) in equilibrium statistical mechanics [MSC 2020] 05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 52C45 - Combinatorial complexity of geometric structures [MSC 2020] 91B02 - Fundamental topics (basic mathematics, methodology; applicable to economics in general) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 65T60 - Numerical methods for wavelets [MSC 2020] 60E10 - Characteristic functions; other transforms [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 91B15 - Welfare economics [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0123763 |
vi, 139 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan |
Autore | Lan, Guanghui |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xiii, 582 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
90C25 - Convex programming [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 68W15 - Distributed algorithms [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W27 - Online algorithms; streaming algorithms [MSC 2020] |
Soggetto non controllato |
Distributed and decentralized methods
Machine learning algorithms Nonconvex optimization methods Randomized algorithms Stochastic optimization methods |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249143 |
Lan, Guanghui
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Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan |
Autore | Lan, Guanghui |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xiii, 582 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68W15 - Distributed algorithms [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W27 - Online algorithms; streaming algorithms [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 90C25 - Convex programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] |
Soggetto non controllato |
Distributed and decentralized methods
Machine learning algorithms Nonconvex optimization methods Randomized algorithms Stochastic optimization methods |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00249143 |
Lan, Guanghui
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Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He |
Autore | Yang, Xin-She |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xi, 107 p. : ill. ; 24 cm |
Altri autori (Persone) | He, Xing-Shi |
Soggetto topico |
68Q25 - Analysis of algorithms and problem complexity [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 46N10 - Applications of functional analysis in optimization, convex analysis, mathematical programming, economics [MSC 2020] 97N40 - Numerical analysis (educational aspects) [MSC 2020] 37N40 - Dynamical systems in optimization and economics [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
Soggetto non controllato |
Algorithm Analysis
Ant Colony Optimization Bat Algorithm Bayesian Framework Bees-inspired Algorithms Cuckoo Search Essence of an Algorithm Filter Theory Firefly Algorithm General Formulation of Optimization Gradient-Based Optimization Techniques Gradient-Free Methods and Metaheuristics Hyper-Optimization Markov Chain Monte Carlo Nature-Inspired Algorithms Parameter Tuning and Control Particle Swarm Optimization Stability of an Algorithm Swarm Intelligence Unconstrained Optimization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0126993 |
Yang, Xin-She
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Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He |
Autore | Yang, Xin-She |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xi, 107 p. : ill. ; 24 cm |
Altri autori (Persone) | He, Xing-Shi |
Soggetto topico |
37N40 - Dynamical systems in optimization and economics [MSC 2020]
46N10 - Applications of functional analysis in optimization, convex analysis, mathematical programming, economics [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 68Q25 - Analysis of algorithms and problem complexity [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 97N40 - Numerical analysis (educational aspects) [MSC 2020] |
Soggetto non controllato |
Algorithm Analysis
Ant Colony Optimization Bat Algorithm Bayesian Framework Bees-inspired Algorithms Cuckoo Search Essence of an Algorithm Filter Theory Firefly Algorithm General Formulation of Optimization Gradient-Based Optimization Techniques Gradient-Free Methods and Metaheuristics Hyper-Optimization Markov Chain Monte Carlo Nature-Inspired Algorithms Parameter Tuning and Control Particle Swarm Optimization Stability of an Algorithm Swarm Intelligence Unconstrained Optimization |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00126993 |
Yang, Xin-She
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Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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