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Computational Intelligence Applied to Inverse Problems in Radiative Transfer / Antônio José da Silva Neto, José Carlos Becceneri, Haroldo Fraga de Campos Velho editors
| Computational Intelligence Applied to Inverse Problems in Radiative Transfer / Antônio José da Silva Neto, José Carlos Becceneri, Haroldo Fraga de Campos Velho editors |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxxviii, 228 p. : ill. ; 24 cm |
| Soggetto topico |
80-XX - Classical thermodynamics, heat transfer [MSC 2020]
80A23 - Inverse problems in thermodynamics and heat transfer [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
| Soggetto non controllato |
Artificial Neural Networks
Bio-inspired algorithms Computational intellilgence Differential equations Differential evolution Genetic Algorithms Inverse Problems Luus-Jaakola method Metaheuristics Optimization Radiation Radiative transfer Stochastic and hybrid methods |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278761 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He
| Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He |
| Autore | Yang, Xin-She |
| Edizione | [Cham : Springer, 2019] |
| Pubbl/distr/stampa | xi, 107 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| 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] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126993 |
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Yang, Xin-She
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| xi, 107 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Optimization of Stochastic Heat Engines in the Underdamped Limit / Nikolas Zöller
| Optimization of Stochastic Heat Engines in the Underdamped Limit / Nikolas Zöller |
| Autore | Zöller, Nikolas |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2017 |
| Descrizione fisica | 101 p. : ill. ; 24 cm |
| Soggetto topico |
80-XX - Classical thermodynamics, heat transfer [MSC 2020]
60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
| Soggetto non controllato |
Entropy Production
Fokker-Planck Equation Statistical Physics Stochastic Dynamics Stochastic differential equations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0181173 |
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Zöller, Nikolas
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| Wiesbaden, : Springer Spektrum, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Optimization of Stochastic Heat Engines in the Underdamped Limit / Nikolas Zöller
| Optimization of Stochastic Heat Engines in the Underdamped Limit / Nikolas Zöller |
| Autore | Zöller, Nikolas |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2017 |
| Descrizione fisica | 101 p. : ill. ; 24 cm |
| Soggetto topico |
60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020]
80-XX - Classical thermodynamics, heat transfer [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
| Soggetto non controllato |
Entropy Production
Fokker-Planck Equation Statistical Physics Stochastic Dynamics Stochastic differential equations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00181173 |
|
Zöller, Nikolas
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||
| Wiesbaden, : Springer Spektrum, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020]
(6)
- 37N40 - Dynamical systems in optimization and economics [MSC 2020] (3)
- 46N10 - Applications of functional analysis in optimization, convex analysis, mathematical programming, economics [MSC 2020] (3)
- 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] (3)
- 68Q25 - Analysis of algorithms and problem complexity [MSC 2020] (3)