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A caso : la sorte, la scienza e il mondo / Ivar Ekeland
A caso : la sorte, la scienza e il mondo / Ivar Ekeland
Autore Ekeland, Ivar
Pubbl/distr/stampa Torino : Boringhieri, 1992
Descrizione fisica 156 p. : ill. ; 22 cm.
Disciplina 501
519.2
Collana Saggi scientifici. Sezione di storia della scienza
Soggetto topico Mathematical statistics
Probabilities
Probabilità - Teoria
Probability - Theory
ISBN 8833907147
Classificazione 1:53
1:510
AMS 00A99
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISALENTO-991001860269707536
Ekeland, Ivar  
Torino : Boringhieri, 1992
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Actual causality / / Joseph Y. Halpern
Actual causality / / Joseph Y. Halpern
Autore Halpern Joseph Y. <1953->
Pubbl/distr/stampa Cambridge, Massachusetts : , : The MIT Press, , [2016]
Descrizione fisica 1 online resource (240 p.)
Disciplina 122
Collana The MIT Press
Soggetto topico Functional analysis
Probabilities
Causation
Soggetto non controllato PHILOSOPHY/General
COMPUTER SCIENCE/Artificial Intelligence
ISBN 0-262-33662-6
0-262-33661-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Chapter 1: Introduction and Overview; Chapter 2: The HP Definition of Causality; 2.1 Causal Models; 2.2 A Formal Definition of Actual Cause; 2.3 Examples; 2.4 Transitivity; 2.5 Probability and Causality; 2.6 Sufficient Causality; 2.7 Causality in Nonrecursive Models; 2.8 AC2(bo) vs -- AC2(bu); 2.9 Causal Paths; 2.10 Proofs; Chapter 3: Graded Causation and Normality; 3.1 Defaults, Typicality, and Normality; 3.2 Extended Causal Models; 3.3 Graded Causation; 3.4 More Examples; 3.5 An Alternative Approach to Incorporating Normality; Chapter 4: The Art of Causal Modeling.
4.1 Adding Variables to Structure a Causal Scenario4.2 Conservative Extensions; 4.3 Using the Original HP Definition Instead of the Updated Definition; 4.4 The Stability of (Non- )Causality; 4.5 The Range of Variables; 4.6 Dependence and Independence; 4.7 Dealing With Normality and Typicality; 4.8 Proofs; Chapter 5: Complexity and Axiomatization; 5.1 Compact Representations of Structural Equations; 5.2 Compact Representations of the Normality Ordering; 5.3 The Complexity of Determining Causality; 5.4 Axiomatizing Causal Reasoning; 5.5 Technical Details and Proofs.
Chapter 6: Responsibility and Blame6.1 A Naive Definition of Responsibility; 6.2 Blame; 6.3 Responsibility, Normality, and Blame; Chapter 7: Explanation; 7.1 Explanation: The Basic Definition; 7.2 Partial Explanations and Explanatory Power; 7.3 The General Definition of Explanation; Chapter 8: Applying the Definitions; 8.1 Accountability; 8.2 Causality in Databases; 8.3 Program Verification; 8.4 LastWords; References; Index.
Record Nr. UNINA-9910557538003321
Halpern Joseph Y. <1953->  
Cambridge, Massachusetts : , : The MIT Press, , [2016]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Actuarial Aspects of Long Term Care / / edited by Etienne Dupourqué, Frédéric Planchet, Néfissa Sator
Actuarial Aspects of Long Term Care / / edited by Etienne Dupourqué, Frédéric Planchet, Néfissa Sator
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (340 pages)
Disciplina 362.16
368.382
Collana Springer Actuarial
Soggetto topico Actuarial science
Probabilities
Actuarial Sciences
Probability Theory and Stochastic Processes
ISBN 3-030-05660-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface: Jean-Paul Félix.-Part I. Dependancy: Definitions and Facts.-Introduction: Bob Yee.-Interaction of morbidity and mortality in Long Term Care: Eric Stallard.-Long Term Care in the United States: Etienne Dupourque.-Long Term Care in France: François Lusson.-Part II. Liabilities measurement.-Introduction: Bob Yee -- Mesasuring Long-Term Insurance Contracts Biometric Risks: Quentin Guibert, Frédéric Planchet.-Pricing and Reserving:Ermanno Pitacco, Michel Denuit,Nathalie Lucas.-Part III. Determination of the Solvency Capital.-Introduction: Bob Yee.-Construction of an economic balancesheet and SCR calculation in Solvency 2:Anani Olympio,Camille Gutknecht.-Solvency capital for Long Term Care Insurance in the United States: Jim Berger.-Impact of Reinsurance: Qualitative Aspects: Guillaume Biessy , lan Cohen.-Impact of Reinsurance: Quantitave Aspects: Frédéric Planchet.-Part IV. Prospective vision of the risk-Introduction: Bob Yee.-Solvency II Own Risk and Solvency Assessment for Long Term Care insurance: Marc & Géraldine Juillard -- ERM Approach for Long Term Care Insurance Risks: Nefissa Sator -- On Long Term Care: Marie Sophie Houis-Valletoux -- Predictive Analytics in Long term Care: Howard Zail .-References.-Index.
Record Nr. UNINA-9910338257703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret
Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret
Autore Benveniste Albert
Edizione [1st ed. 1990.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990
Descrizione fisica 1 online resource (XII, 364 p.)
Disciplina 519.2
Collana Stochastic Modelling and Applied Probability
Soggetto topico Probabilities
Chemometrics
Computational intelligence
Probability Theory and Stochastic Processes
Math. Applications in Chemistry
Computational Intelligence
ISBN 3-642-75894-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II.
Record Nr. UNINA-9910480530803321
Benveniste Albert  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret
Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret
Autore Benveniste Albert
Edizione [1st ed. 1990.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990
Descrizione fisica 1 online resource (XII, 364 p.)
Disciplina 519.2
Collana Stochastic Modelling and Applied Probability
Soggetto topico Probabilities
Chemometrics
Computational intelligence
Probability Theory and Stochastic Processes
Math. Applications in Chemistry
Computational Intelligence
ISBN 3-642-75894-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II.
Record Nr. UNINA-9910789215503321
Benveniste Albert  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive Algorithms and Stochastic Approximations / / by Albert Benveniste, Michel Metivier, Pierre Priouret
Adaptive Algorithms and Stochastic Approximations / / by Albert Benveniste, Michel Metivier, Pierre Priouret
Autore Benveniste Albert
Edizione [1st ed. 1990.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990
Descrizione fisica 1 online resource (XII, 364 p.)
Disciplina 519.2
Collana Stochastic Modelling and Applied Probability
Soggetto topico Probabilities
Chemometrics
Computational intelligence
Probability Theory and Stochastic Processes
Math. Applications in Chemistry
Computational Intelligence
ISBN 3-642-75894-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II.
Record Nr. UNINA-9910807086703321
Benveniste Albert  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive statistical procedures and related topics : proceedings of a symposium in honor of Herbert Robbins, June 7-11, 1985, Brookhaven National Laboratory, Upton, New York / / edited by John Van Ryzin [[electronic resource]]
Adaptive statistical procedures and related topics : proceedings of a symposium in honor of Herbert Robbins, June 7-11, 1985, Brookhaven National Laboratory, Upton, New York / / edited by John Van Ryzin [[electronic resource]]
Pubbl/distr/stampa Hayward, Calif., : Institute of Mathematical Statistics, c1986
Descrizione fisica 1 online resource (ix, 476 p. )
Disciplina 519.5
Altri autori (Persone) RobbinsHerbert
Van RyzinJohn
Collana Lecture notes-monograph series Adaptive statistical procedures and related topics
Lecture notes-monograph series
Soggetto topico Sequential analysis
Bayesian statistical decision theory
Stochastic approximation
Mathematical statistics
Probabilities
Sequential analysis - Congresses
Bayesian statistical decision theory - Congresses
Stochastic approximation - Congresses
Mathematical statistics - Congresses
Probabilities - Congresses
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482880603321
Hayward, Calif., : Institute of Mathematical Statistics, c1986
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive statistical procedures and related topics : proceedings of a symposium in honor of Herbert Robbins, June 7-11, 1985, Brookhaven National Laboratory, Upton, New York / / edited by John Van Ryzin [[electronic resource]]
Adaptive statistical procedures and related topics : proceedings of a symposium in honor of Herbert Robbins, June 7-11, 1985, Brookhaven National Laboratory, Upton, New York / / edited by John Van Ryzin [[electronic resource]]
Pubbl/distr/stampa Hayward, Calif., : Institute of Mathematical Statistics, c1986
Descrizione fisica 1 online resource (ix, 476 p. )
Disciplina 519.5
Altri autori (Persone) RobbinsHerbert
Van RyzinJohn
Collana Lecture notes-monograph series Adaptive statistical procedures and related topics
Lecture notes-monograph series
Soggetto topico Sequential analysis
Bayesian statistical decision theory
Stochastic approximation
Mathematical statistics
Probabilities
Sequential analysis - Congresses
Bayesian statistical decision theory - Congresses
Stochastic approximation - Congresses
Mathematical statistics - Congresses
Probabilities - Congresses
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996210819903316
Hayward, Calif., : Institute of Mathematical Statistics, c1986
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman
Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman
Autore Mareels Iven
Edizione [1st ed. 1996.]
Pubbl/distr/stampa Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996
Descrizione fisica 1 online resource (XVII, 342 p.)
Disciplina 519
Collana Systems & Control: Foundations & Applications
Soggetto topico System theory
Mathematical models
Probabilities
Systems Theory, Control
Mathematical Modeling and Industrial Mathematics
Probability Theory and Stochastic Processes
ISBN 0-8176-8142-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Adaptive Systems -- 1.1 Introduction -- 1.2 Adaptive systems: examples -- 1.3 General structure of adaptive control systems -- 1.4 Illustrating the concepts -- 1.5 Summary of chapter -- 1.6 Notes and references -- 1.7 Exercises -- 2 Systems And Their Representations -- 2.1 Introduction -- 2.2 Notation -- 2.3 The behavior -- 2.4 Latent variables -- 2.5 Equivalent representations -- 2.6 Controllability -- 2.7 Observability -- 2.8 Stability -- 2.9 Elimination of Latent variables -- 2.10 The ring ?[?,??1] -- 2.11 An example -- 2.12 A word about the notation -- 2.13 Summary of chapter -- 2.14 Notes and references -- 3 Adaptive systems : principles of identification -- 3.1 Introduction -- 3.2 Object of interest and model class -- 3.3 Identification criterion and algorithms -- 3.4 Data model assumptions -- 3.5 Analysis of identification algorithms -- 3.6 Persistency of excitation -- 3.7 Summary of chapter -- 3.8 Notes and references -- 3.9 Exercises -- 4 Adaptive Pole Assignment -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 The system and its representations -- 4.4 Equilibrium analysis -- 4.5 An algorithm for adaptive pole assignment -- 4.6 Analysis of the algorithm -- 4.7 Filtered signals -- 4.8 Modification of the projection algorithm -- 4.9 Summary of chapter -- 4.10 Notes and references -- 4.11 Exercises -- 5 Direct Adaptive Model Reference Control -- 5.1 Introduction -- 5.2 Basic problem definition -- 5.3 Model reference control: nonadaptive solution -- 5.4 Error model construction -- 5.5 Equilibrium analysis -- 5.6 Adaptive algorithm -- 5.7 Analysis of the adaptive system -- 5.8 Adaptive model reference control with disturbance rejection -- 5.9 Summary of chapter -- 5.10 Notes and references -- 5.11 Exercises -- 6 Universal Controllers -- 6.1 Introduction -- 6.2 Existence of solutions -- 6.3 The first order case -- 6.4 Higher order systems -- 6.5 Mårtensson’s algorithm -- 6.6 Summary of chapter -- 6.7 Notes and references -- 6.8 Exercises -- 7 The pole/zero cancellation problem -- 7.1 Introduction -- 7.2 The pole/zero cancellation problem in adaptive control -- 7.3 Combining direct and indirect adaptive control -- 7.4 Adaptive Excitation -- 7.5 A more fundamental viewpoint -- 7.6 Conclusions -- 7.7 Summary of chapter -- 7.8 Notes and references -- 7.9 Exercises -- 8 Averaging Analysis For Adaptive Systems -- 8.1 Introduction -- 8.2 Averaging -- 8.3 Transforming an adaptive system into standard form -- 8.4 Averaging approximation -- 8.5 Application: the MIT rule for adaptive control -- 8.6 Application: echo cancellation in telephony -- 8.7 Summary of chapter -- 8.8 Notes and references -- 8.9 Exercises -- 9 Dynamics of adaptive systems: A case study -- 9.1 Introduction -- 9.2 The example -- 9.3 Global analysis and bifurcations -- 9.4 Adaptive system behavior: ideal case -- 9.5 Adaptive system behavior: undermodelled case -- 9.6 Discussion -- 9.7 Summary of chapter -- 9.8 Notes and References -- 9.9 Exercises -- Epilogue -- A Background material -- A.1 A contraction result -- A.2 The Comparison Principle -- A.2.1 Bellman-Gronwall Lemma -- A.2.2 Perturbed linear stable systems -- A.3 Miscellaneous stability results -- A.3.1 Stability Definitions -- A.3.2 Some Lyapunov stability results -- A.4 Detectability -- A.5 An inequality for linear systems -- A.6 Finite horizon averaging result -- A.7 Maple code for solving Lyapunov equations -- A.8 Maple code for fixed points and two periodic solutions.
Record Nr. UNINA-9910478902103321
Mareels Iven  
Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman
Adaptive Systems [[electronic resource] ] : An Introduction / / by Iven Mareels, Jan Willem Polderman
Autore Mareels Iven
Edizione [1st ed. 1996.]
Pubbl/distr/stampa Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996
Descrizione fisica 1 online resource (XVII, 342 p.)
Disciplina 519
Collana Systems & Control: Foundations & Applications
Soggetto topico System theory
Mathematical models
Probabilities
Systems Theory, Control
Mathematical Modeling and Industrial Mathematics
Probability Theory and Stochastic Processes
ISBN 0-8176-8142-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Adaptive Systems -- 1.1 Introduction -- 1.2 Adaptive systems: examples -- 1.3 General structure of adaptive control systems -- 1.4 Illustrating the concepts -- 1.5 Summary of chapter -- 1.6 Notes and references -- 1.7 Exercises -- 2 Systems And Their Representations -- 2.1 Introduction -- 2.2 Notation -- 2.3 The behavior -- 2.4 Latent variables -- 2.5 Equivalent representations -- 2.6 Controllability -- 2.7 Observability -- 2.8 Stability -- 2.9 Elimination of Latent variables -- 2.10 The ring ?[?,??1] -- 2.11 An example -- 2.12 A word about the notation -- 2.13 Summary of chapter -- 2.14 Notes and references -- 3 Adaptive systems : principles of identification -- 3.1 Introduction -- 3.2 Object of interest and model class -- 3.3 Identification criterion and algorithms -- 3.4 Data model assumptions -- 3.5 Analysis of identification algorithms -- 3.6 Persistency of excitation -- 3.7 Summary of chapter -- 3.8 Notes and references -- 3.9 Exercises -- 4 Adaptive Pole Assignment -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 The system and its representations -- 4.4 Equilibrium analysis -- 4.5 An algorithm for adaptive pole assignment -- 4.6 Analysis of the algorithm -- 4.7 Filtered signals -- 4.8 Modification of the projection algorithm -- 4.9 Summary of chapter -- 4.10 Notes and references -- 4.11 Exercises -- 5 Direct Adaptive Model Reference Control -- 5.1 Introduction -- 5.2 Basic problem definition -- 5.3 Model reference control: nonadaptive solution -- 5.4 Error model construction -- 5.5 Equilibrium analysis -- 5.6 Adaptive algorithm -- 5.7 Analysis of the adaptive system -- 5.8 Adaptive model reference control with disturbance rejection -- 5.9 Summary of chapter -- 5.10 Notes and references -- 5.11 Exercises -- 6 Universal Controllers -- 6.1 Introduction -- 6.2 Existence of solutions -- 6.3 The first order case -- 6.4 Higher order systems -- 6.5 Mårtensson’s algorithm -- 6.6 Summary of chapter -- 6.7 Notes and references -- 6.8 Exercises -- 7 The pole/zero cancellation problem -- 7.1 Introduction -- 7.2 The pole/zero cancellation problem in adaptive control -- 7.3 Combining direct and indirect adaptive control -- 7.4 Adaptive Excitation -- 7.5 A more fundamental viewpoint -- 7.6 Conclusions -- 7.7 Summary of chapter -- 7.8 Notes and references -- 7.9 Exercises -- 8 Averaging Analysis For Adaptive Systems -- 8.1 Introduction -- 8.2 Averaging -- 8.3 Transforming an adaptive system into standard form -- 8.4 Averaging approximation -- 8.5 Application: the MIT rule for adaptive control -- 8.6 Application: echo cancellation in telephony -- 8.7 Summary of chapter -- 8.8 Notes and references -- 8.9 Exercises -- 9 Dynamics of adaptive systems: A case study -- 9.1 Introduction -- 9.2 The example -- 9.3 Global analysis and bifurcations -- 9.4 Adaptive system behavior: ideal case -- 9.5 Adaptive system behavior: undermodelled case -- 9.6 Discussion -- 9.7 Summary of chapter -- 9.8 Notes and References -- 9.9 Exercises -- Epilogue -- A Background material -- A.1 A contraction result -- A.2 The Comparison Principle -- A.2.1 Bellman-Gronwall Lemma -- A.2.2 Perturbed linear stable systems -- A.3 Miscellaneous stability results -- A.3.1 Stability Definitions -- A.3.2 Some Lyapunov stability results -- A.4 Detectability -- A.5 An inequality for linear systems -- A.6 Finite horizon averaging result -- A.7 Maple code for solving Lyapunov equations -- A.8 Maple code for fixed points and two periodic solutions.
Record Nr. UNINA-9910789349103321
Mareels Iven  
Boston, MA : , : Birkhäuser Boston : , : Imprint : Birkhäuser, , 1996
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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