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Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910453334503321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910782591603321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910825960903321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Complex systems : theory and applications / / Rebecca Martinez, editor
| Complex systems : theory and applications / / Rebecca Martinez, editor |
| Pubbl/distr/stampa | Hauppauge, New York : , : Nova Science Publishers, Incorporated, , [2017] |
| Descrizione fisica | 1 online resource (163 pages) : illustrations |
| Disciplina | 511.3/52 |
| Collana | Mathematics research developments |
| Soggetto topico |
Computational complexity
System analysis System theory |
| ISBN | 1-5361-0871-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910164041603321 |
| Hauppauge, New York : , : Nova Science Publishers, Incorporated, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computability : Turing, Gödel, Church, and beyond / / edited by Jack Copeland, Carl Posy, and Oron Shagrir
| Computability : Turing, Gödel, Church, and beyond / / edited by Jack Copeland, Carl Posy, and Oron Shagrir |
| Pubbl/distr/stampa | Cambridge, Massachusetts, : The MIT Press, [2013] |
| Descrizione fisica | 1 online resource (373 p.) |
| Disciplina | 511.3/52 |
| Soggetto topico |
Computational complexity
Mathematics - Philosophy |
| Soggetto non controllato |
COMPUTER SCIENCE/General
MATHEMATICS & STATISTICS/General PHILOSOPHY/General |
| ISBN |
0-262-31268-9
0-262-52748-0 0-262-31267-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ""11 Is Quantum Mechanics Falsifiable? A Computational Perspective on the Foundations of Quantum Mechanics""""About the Authors""; ""Index"" |
| Record Nr. | UNINA-9910779750303321 |
| Cambridge, Massachusetts, : The MIT Press, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computability : Turing, Gödel, Church, and beyond / / edited by Jack Copeland, Carl Posy, and Oron Shagrir
| Computability : Turing, Gödel, Church, and beyond / / edited by Jack Copeland, Carl Posy, and Oron Shagrir |
| Pubbl/distr/stampa | Cambridge, Massachusetts, : The MIT Press, [2013] |
| Descrizione fisica | 1 online resource (373 p.) |
| Disciplina | 511.3/52 |
| Soggetto topico |
Computational complexity
Mathematics - Philosophy |
| Soggetto non controllato |
COMPUTER SCIENCE/General
MATHEMATICS & STATISTICS/General PHILOSOPHY/General |
| ISBN |
0-262-31268-9
0-262-52748-0 0-262-31267-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ""11 Is Quantum Mechanics Falsifiable? A Computational Perspective on the Foundations of Quantum Mechanics""""About the Authors""; ""Index"" |
| Record Nr. | UNINA-9910815083903321 |
| Cambridge, Massachusetts, : The MIT Press, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computability in context [[electronic resource] ] : computation and logic in the real world / / editors, S. Barry Cooper, Andrea Sorbi
| Computability in context [[electronic resource] ] : computation and logic in the real world / / editors, S. Barry Cooper, Andrea Sorbi |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (419 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CooperS. B (S. Barry)
SorbiAndrea <1956-> |
| Soggetto topico |
Computable functions
Computational intelligence Set theory Mathematics - Philosophy |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-14816-1
9786613148162 1-84816-277-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Computation, Information, and the Arrow of Time P. Adriaans & P. van Emde Boas; 2. The Isomorphism Conjecture for NP M. Agrawal; 3. The Ershov Hierarchy M. M. Arslanov; 4. Complexity and Approximation in Reoptimization G. Ausiello, V. Bonifaci, & B. Escoffer; 5. Definability in the Real Universe S. B. Cooper; 6. HF-Computability Y. L. Ershov, V. G. Puzarenko, & A. I. Stukachev; 7. The Mathematics of Computing between Logic and Physics G. Longo & T. Paul; 8. Liquid State Machines: Motivation, Theory, and Applications W. Maass
9. Experiments on an Internal Approach to Typed Algorithms in Analysis D. Normann10. Recursive Functions: An Archeological Look P. Odifreddi; 11. Reverse Mathematics and Well-ordering Principles M. Rathjen & A. Weiermann; 12. Discrete Transfinite Computation Models P. D. Welch |
| Record Nr. | UNINA-9910461306003321 |
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computability in context [[electronic resource] ] : computation and logic in the real world / / editors, S. Barry Cooper, Andrea Sorbi
| Computability in context [[electronic resource] ] : computation and logic in the real world / / editors, S. Barry Cooper, Andrea Sorbi |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (419 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CooperS. B (S. Barry)
SorbiAndrea <1956-> |
| Soggetto topico |
Computable functions
Computational intelligence Set theory Mathematics - Philosophy |
| ISBN |
1-283-14816-1
9786613148162 1-84816-277-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Computation, Information, and the Arrow of Time P. Adriaans & P. van Emde Boas; 2. The Isomorphism Conjecture for NP M. Agrawal; 3. The Ershov Hierarchy M. M. Arslanov; 4. Complexity and Approximation in Reoptimization G. Ausiello, V. Bonifaci, & B. Escoffer; 5. Definability in the Real Universe S. B. Cooper; 6. HF-Computability Y. L. Ershov, V. G. Puzarenko, & A. I. Stukachev; 7. The Mathematics of Computing between Logic and Physics G. Longo & T. Paul; 8. Liquid State Machines: Motivation, Theory, and Applications W. Maass
9. Experiments on an Internal Approach to Typed Algorithms in Analysis D. Normann10. Recursive Functions: An Archeological Look P. Odifreddi; 11. Reverse Mathematics and Well-ordering Principles M. Rathjen & A. Weiermann; 12. Discrete Transfinite Computation Models P. D. Welch |
| Record Nr. | UNINA-9910789411903321 |
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computability in context [[electronic resource] ] : computation and logic in the real world / / editors, S. Barry Cooper, Andrea Sorbi
| Computability in context [[electronic resource] ] : computation and logic in the real world / / editors, S. Barry Cooper, Andrea Sorbi |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (419 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CooperS. B (S. Barry)
SorbiAndrea <1956-> |
| Soggetto topico |
Computable functions
Computational intelligence Set theory Mathematics - Philosophy |
| ISBN |
1-283-14816-1
9786613148162 1-84816-277-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Computation, Information, and the Arrow of Time P. Adriaans & P. van Emde Boas; 2. The Isomorphism Conjecture for NP M. Agrawal; 3. The Ershov Hierarchy M. M. Arslanov; 4. Complexity and Approximation in Reoptimization G. Ausiello, V. Bonifaci, & B. Escoffer; 5. Definability in the Real Universe S. B. Cooper; 6. HF-Computability Y. L. Ershov, V. G. Puzarenko, & A. I. Stukachev; 7. The Mathematics of Computing between Logic and Physics G. Longo & T. Paul; 8. Liquid State Machines: Motivation, Theory, and Applications W. Maass
9. Experiments on an Internal Approach to Typed Algorithms in Analysis D. Normann10. Recursive Functions: An Archeological Look P. Odifreddi; 11. Reverse Mathematics and Well-ordering Principles M. Rathjen & A. Weiermann; 12. Discrete Transfinite Computation Models P. D. Welch |
| Record Nr. | UNINA-9910820400803321 |
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational complexity and statistical physics [[electronic resource] /] / editors Allon G. Percus, Gabriel Istrate, Cristopher Moore
| Computational complexity and statistical physics [[electronic resource] /] / editors Allon G. Percus, Gabriel Istrate, Cristopher Moore |
| Pubbl/distr/stampa | New York, : Oxford University Press, 2006 |
| Descrizione fisica | 1 online resource (382 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
PercusAllon
IstrateGabriel MooreCristopher |
| Collana | The Santa Fe Institute studies in the sciences of complexity |
| Soggetto topico |
Computational complexity
Combinatorial analysis Statistical physics Phase transformations (Statistical physics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-756226-4
1-283-09785-0 9786613097859 0-19-976056-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents; Preface; PART 1: FUNDAMENTALS; PART 2: STATISTICAL PHYSICS AND ALGORITHMS; PART 3: IDENTIFYING THE THRESHOLD; PART 4: EXTENSIONS AND APPLICATIONS; Bibliography; Index |
| Record Nr. | UNINA-9910458775503321 |
| New York, : Oxford University Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
