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Cogs and monsters : what economics is, and what it should be / / Diane Coyle
| Cogs and monsters : what economics is, and what it should be / / Diane Coyle |
| Autore | Coyle Diane |
| Pubbl/distr/stampa | Princeton ; ; Oxford : , : Princeton University Press, , 2021 |
| Descrizione fisica | vii, 257 pages |
| Disciplina | 330 |
| Soggetto topico |
economics
digital economy innovation history |
| Soggetto non controllato |
Adoption
Advocacy Alan Greenspan Arrow's impossibility theorem Artificial neural network Austerity Big government Billionaire Brown University Calculation Capability (systems engineering) Central bank Civic engagement Competition and Markets Authority Competitiveness Conventional wisdom David Colander Democracy Digital economy Economic statistics Economics Economist Economy of Italy Economy Efficient-market hypothesis Everyday life Expense Externality Financial crisis of 2007–08 Financial crisis Food bank Globalization Government Homo economicus Human science Implementation Incentive Inflation Inseparability Institutional economics Insurance policy John Rawls Kenneth Arrow Keynesian economics Knowledge spillover Legitimacy (political) Literature Macroeconomics Mainstream economics Marginal cost Minarchism Monetarism Monetary policy Money supply Nate Silver Neoliberalism Network theory New neoclassical synthesis Paul Romer Payment Philosopher Policy Political economy Political science Politician Politics Power supply unit (computer) Pragmatism Production function Profession Psychological well-being Quality management Radio spectrum Real estate economics Recession Reputation Research and development Rhetorical question Road pricing Rule of thumb School of thought Small government Social cost Social structure Socialist calculation debate Sputnik crisis Suggestion Supply chain Supporter Technocracy Test score Thomas Robert Malthus Trade association Transport economics Undergraduate degree Undergraduate education Unemployment Unpopularity Utilitarianism Year |
| ISBN | 0-691-23103-6 |
| Classificazione | BUS069000BUS051000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction: Economics Today and Tomorrow -- The Public Responsibilities of the Economist -- The Economist as Outsider -- AIs, Rats and Humans -- Cogs and Monsters -- Changing Technology, Changing Economics. |
| Record Nr. | UNINA-9910554276703321 |
Coyle Diane
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| Princeton ; ; Oxford : , : Princeton University Press, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fractional Calculus and Fractional Differential Equations / Varsha Daftardar-Gejji editor
| Fractional Calculus and Fractional Differential Equations / Varsha Daftardar-Gejji editor |
| Pubbl/distr/stampa | Singapore, : Birkhäuser, 2019 |
| Descrizione fisica | xi, 180 p. : ill. ; 24 cm |
| Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 34A08 - Fractional ordinary differential equations and fractional differential inclusions [MSC 2020] 35R11 - Fractional partial differential equations [MSC 2020] |
| Soggetto non controllato |
Adomian Decomposition Method
Artificial neural network Comparison Theorems Fractional Order Mittag-Leffler Kernel Ordinary differential equations Partial differential equations Sumudu Transform Iterative Method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127302 |
| Singapore, : Birkhäuser, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fractional Calculus and Fractional Differential Equations / Varsha Daftardar-Gejji editor
| Fractional Calculus and Fractional Differential Equations / Varsha Daftardar-Gejji editor |
| Pubbl/distr/stampa | Singapore, : Birkhäuser, 2019 |
| Descrizione fisica | xi, 180 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 34A08 - Fractional ordinary differential equations and fractional differential inclusions [MSC 2020] 35-XX - Partial differential equations [MSC 2020] 35R11 - Fractional partial differential equations [MSC 2020] |
| Soggetto non controllato |
Adomian Decomposition Method
Artificial neural network Comparison Theorems Fractional Order Mittag-Leffler Kernel Ordinary differential equations Partial differential equations Sumudu Transform Iterative Method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127302 |
| Singapore, : Birkhäuser, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Machine Learning Applied to Composite Materials / Vinod Kushvaha ... [et al.] editors
| Machine Learning Applied to Composite Materials / Vinod Kushvaha ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | vi, 198 p. : ill. ; 24 cm |
| Soggetto non controllato |
Artificial neural network
Carbon Fiber-Reinforced Laminates Composite Material Design Fracture Toughness Prediction Glass Fiber Reinforced Polymer Machine learning Materials modelling Natural Fiber Biocomposite Particulate Polymer Composite Silica-Filled Polymer Composite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278455 |
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Machine Learning Applied to Composite Materials / Vinod Kushvaha ... [et al.] editors
| Machine Learning Applied to Composite Materials / Vinod Kushvaha ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | vi, 198 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
74-XX - Mechanics of deformable solids [MSC 2020] |
| Soggetto non controllato |
Artificial neural network
Carbon Fiber-Reinforced Laminates Composite Material Design Fracture Toughness Prediction Glass Fiber Reinforced Polymer Machine learning Materials modelling Natural Fiber Biocomposite Particulate Polymer Composite Silica-Filled Polymer Composite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278455 |
| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Machine Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
| Machine Learning with Quantum Computers / Maria Schuld, Francesco Petruccione |
| Autore | Schuld, Maria |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 312 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petruccione, Francesco |
| Soggetto topico |
68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 81-XX - Quantum theory [MSC 2020] 81P68 - Quantum computation [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Artificial neural network
Deep Belief Network Deutsch-Josza algorithm Grover search Hidden Markov models Hopfield Model Kernel methods Qsample encoding Quantum blas |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00282609 |
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Schuld, Maria
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Power Prediction Modeling of Conventional High-Speed Craft / Dejan Radojčić, Milan Kalajdžić, Aleksandar Simić
| Power Prediction Modeling of Conventional High-Speed Craft / Dejan Radojčić, Milan Kalajdžić, Aleksandar Simić |
| Autore | Radojčić, Dejan |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 252 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Kalajdžić, Milan
Simić, Aleksandar |
| Soggetto topico |
76-XX - Fluid mechanics [MSC 2020]
76Bxx - Incompressible inviscid fluids [MSC 2020] 76Gxx - General aerodynamics and subsonic flows [MSC 2020] 74F10 - Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) [MSC 2020] |
| Soggetto non controllato |
Artificial neural network
Hard-chine and round-bilge hulls High speed craft Military vessels Modeling techniques Planing craft Power prediction Propellers Propulsion Regression analysis Resistance Semi-displacement craft Ship hydrodynamics Yachts |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127122 |
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Radojčić, Dejan
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Power Prediction Modeling of Conventional High-Speed Craft / Dejan Radojčić, Milan Kalajdžić, Aleksandar Simić
| Power Prediction Modeling of Conventional High-Speed Craft / Dejan Radojčić, Milan Kalajdžić, Aleksandar Simić |
| Autore | Radojčić, Dejan |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 252 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Kalajdžić, Milan
Simić, Aleksandar |
| Soggetto topico |
74F10 - Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) [MSC 2020]
76-XX - Fluid mechanics [MSC 2020] 76Bxx - Incompressible inviscid fluids [MSC 2020] 76Gxx - General aerodynamics and subsonic flows [MSC 2020] |
| Soggetto non controllato |
Artificial neural network
Hard-chine and round-bilge hulls High speed craft Military vessels Modeling techniques Planing craft Power prediction Propellers Propulsion Regression analysis Resistance Semi-displacement craft Ship hydrodynamics Yachts |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127122 |
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Radojčić, Dejan
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
| Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione |
| Autore | Schuld, Maria |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 297 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petruccione, Francesco |
| Soggetto topico |
81P68 - Quantum computation [MSC 2020]
68Qxx - Theory of computing [MSC 2020] 81-XX - Quantum theory [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Adiabatic quantum computing
Artificial neural network Belief nets Boltzmann machines Data driven prediction Deutsch-Josza algorithm Grover search Hidden Markov Model Hopfield models Kernel methods Near term application Qsample encoding Quantum Walks Quantum annealing Quantum blas Quantum gates Quantum inference Quantum machine learning Quantum phase estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0211752 |
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Schuld, Maria
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
| Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione |
| Autore | Schuld, Maria |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 297 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petruccione, Francesco |
| Soggetto topico |
68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020]
68Q32 - Computational learning theory [MSC 2020] 68Qxx - Theory of computing [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 81-XX - Quantum theory [MSC 2020] 81P68 - Quantum computation [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Adiabatic quantum computing
Artificial neural network Belief nets Boltzmann machines Data driven prediction Deutsch-Josza algorithm Grover search Hidden Markov Model Hopfield models Kernel methods Near term application Qsample encoding Quantum Walks Quantum annealing Quantum blas Quantum gates Quantum inference Quantum machine learning Quantum phase estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00211752 |
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Schuld, Maria
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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