01525nam0 22003251i 450 SUN001338720051212120000.088-7228-195-4IT99 551920030403d1998 |0itac50 baitaIT|||| |||||ˆLe ‰Italie bizantineterritorio, insediamenti ed economia nella provincia bizantina d'Italia, 6.-8. secoloEnrico ZaniniBariEdipuglia1998386 p.ill.25 cm.001SUN00134172001 Studi storici sulla Tarda Antichità10210 BariEdipuglia.ItaliaDominazione bizantinaSec. 6.-8.FISUNC007101BariSUNL000009945.01421Zanini, EnricoSUNV009846163282EdipugliaSUNV000608650ITSOL20181109RICASUN0013387UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00 CONS XVIII.Ele.45 00 18204 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI07 CONS Vd 2490 07 DP 3317 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA18204CONS XVIII.Ele.45paUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALIIT-CE0103DP3317CONS Vd 2490caItalie bizantine484867UNICAMPANIA05772nam 2200721 a 450 991013903250332120200520144314.01-118-60408-31-118-60404-01-299-40244-51-118-60432-6(CKB)2550000001017884(EBL)1157400(SSID)ssj0000884297(PQKBManifestationID)11475941(PQKBTitleCode)TC0000884297(PQKBWorkID)10940578(PQKB)11747338(Au-PeEL)EBL1157400(CaPaEBR)ebr10677258(CaONFJC)MIL471494(OCoLC)831115115(MiAaPQ)EBC1157400(PPN)183762401(EXLCZ)99255000000101788420130403d2013 uy 0engur|n|---|||||txtccrNon-smooth deterministic or stochastic discrete dynamical systems[electronic resource] applications to models with friction or impact /Jérôme Bastien, Frédéric Bernardin, Claude-Henri LamarqueLondon ISTE ;Hoboken, N.J. Wiley20131 online resource (514 p.)Mechanical engineering and solid mechanics seriesDescription based upon print version of record.1-84821-525-8 Includes bibliographical references and index.Title Page; Contents; Introduction; Chapter 1. Some Simple Examples; 1.1. Introduction; 1.2. Frictions; 1.2.1. Coulomb's law; 1.2.2. Differential equation with univalued operator and usual sign; 1.2.3. Differential equation with multivalued term: differential inclusion; 1.2.4. Other friction laws; 1.3. Impact; 1.3.1. Difficulties with writing the differential equation; 1.3.2. Ill-posed problems; 1.4. Probabilistic context; Chapter 2. Theoretical Deterministic Context; 2.1. Introduction; 2.2. Maximal monotone operators and first result on differential inclusions (in R)2.2.1. Graphs (operators) definitions2.2.2. Maximal monotone operators; 2.2.3. Convex function, sub-differentials and operators; 2.2.4. Resolvent and regularization; 2.2.5. Taking the limit; 2.2.6. First result of existence and uniqueness for a differential inclusion; 2.3. Extension to any Hilbert space; 2.4. Existence and uniqueness results in Hilbert space; 2.5. Numerical scheme in a Hilbert space; 2.5.1. The numerical scheme; 2.5.2. State of the art summary and results shown in this publication; 2.5.3. Convergence (general results and order 1/2); 2.5.4. Convergence (order one)2.5.5. Change of scalar product2.5.6. Resolvent calculation; 2.5.7. More regular schemes; Chapter 3. Stochastic Theoretical Context; 3.1. Introduction; 3.2. Stochastic integral; 3.2.1. The stochastic processes background; 3.2.2. Stochastic integral; 3.3. Stochastic differential equations; 3.3.1. Existence and uniqueness of strong solution; 3.3.2. Existence and uniqueness of weak solution; 3.3.3. Kolmogorov and Fokker-Planck equations; 3.4. Multivalued stochastic differential equations; 3.4.1. Problem statement; 3.4.2. Uniqueness and existence results; 3.5. Numerical scheme3.5.1. Which convergence: weak or strong?3.5.2. Strong convergence results; 3.5.3. Weak convergence results; Chapter 4. Riemannian Theoretical Context; 4.1. Introduction; 4.2. First or second order; 4.3. Differential geometry; 4.3.1. Sphere case; 4.3.2. General case; 4.4. Dynamics of the mechanical systems; 4.4.1. Definition of mechanical system; 4.4.2. Equation of the dynamics; 4.5. Connection, covariant derivative, geodesics and parallel transport; 4.6. Maximal monotone term; 4.7. Stochastic term; 4.8. Results on the existence and uniqueness of a solution; Chapter 5. Systems with Friction5.1. Introduction5.2. Examples of frictional systems with a finite number of degrees of freedom; 5.2.1. General framework; 5.2.2. Two elementary models; 5.2.3. Assembly and results in finite dimensions; 5.2.4. Conclusion; 5.2.5. Examples of numerical simulation; 5.2.6. Identification of the generalized Prandtl model (principles and simulation); 5.3. Another example: the case of a pendulum with friction; 5.3.1. Formulation of the problem, existence and uniqueness; 5.3.2. Numerical scheme; 5.3.3. Numerical estimation of the order; 5.3.4. Example of numerical simulations5.3.5. Free oscillations This book contains theoretical and application-oriented methods to treat models of dynamical systems involving non-smooth nonlinearities.The theoretical approach that has been retained and underlined in this work is associated with differential inclusions of mainly finite dimensional dynamical systems and the introduction of maximal monotone operators (graphs) in order to describe models of impact or friction. The authors of this book master the mathematical, numerical and modeling tools in a particular way so that they can propose all aspects of the approach, in both a deterministic ISTEDynamicsMathematical modelsFrictionMathematical modelsImpactMathematical modelsDynamicsMathematical models.FrictionMathematical models.ImpactMathematical models.620.00151539Bastien Jérôme958558Bernardin Frédéric958559Lamarque Claude-Henri739265MiAaPQMiAaPQMiAaPQBOOK9910139032503321Non-smooth deterministic or stochastic discrete dynamical systems2171955UNINA04104nam 2200709Ia 450 991095722680332120200520144314.09780804785563080478556210.1515/9780804785563(CKB)2560000000102293(EBL)1210892(OCoLC)849787063(SSID)ssj0000915460(PQKBManifestationID)12431726(PQKBTitleCode)TC0000915460(PQKBWorkID)10868915(PQKB)11221706(DE-B1597)564864(DE-B1597)9780804785563(Au-PeEL)EBL1210892(CaPaEBR)ebr10718274(OCoLC)873805531(OCoLC)1178770226(PPN)248789333(Perlego)744962(FR-PaCSA)88897456(MiAaPQ)EBC1210892(FRCYB88897456)88897456(EXLCZ)99256000000010229320130220d2013 uy 0engur|n|---|||||txtccrCollective action and exchange a game-theoretic approach to contemporary political economy /William D. Ferguson1st ed.Stanford, California Stanford Economics and Finance, an imprint of Stanford University Press20131 online resource (447 p.)Description based upon print version of record.9780804770033 0804770034 9780804770040 0804770042 Includes bibliographical references and index.Frontmatter -- Contents -- Acknowledgments -- Introduction: A Farmer’s Market -- Chapter 1 Collective-Action Problems and Innovative Theory -- Chapter 2 The Basic Economics of Collective Action -- Chapter 3 Coordination, Enforcement, and Second-Order Collective-Action Problems -- Chapter 4 Seizing Advantage: Strategic Moves and Power in Exchange -- Chapter 5 Basic Motivation: Rational Egoists and Reciprocal Players -- Chapter 6 Foundations of Motivation: Rationality and Social Preference -- Chapter 7 Institutions, Organizations, and Institutional Systems -- Chapter 8 Informal Institutions -- Chapter 9 Internal Resolution via Group Self-Organization -- Chapter 10 Third-Party Enforcement, Formal Institutions, and Interactions with Self-Governance -- Chapter 11 Social Networks and Collective Action -- Chapter 12 Policy and Political Economy -- Appendix to Chapter 12 -- Chapter 13 Knowledge, Collective Action, Institutions, Location, and Growth -- Chapter 14 Conclusion -- Notes -- References -- Index In Collective Action and Exchange: A Game-Theoretic Approach to Contemporary Political Economy, William D. Ferguson presents a comprehensive political economy text aimed at advanced undergraduates in economics and graduate students in the social sciences. The text utilizes collective action as a unifying concept, arguing that collective-action problems lie at the foundation of market success, market failure, economic development, and the motivations for policy. Ferguson draws on information economics, social preference theory, cognition theory, institutional economics, as well as political and policy theory to develop this approach. The text uses classical, evolutionary, and epistemic game theory, along with basic social network analysis, as modeling frameworks. These models effectively bind the ideas presented, generating a coherent theoretic approach to political economy that stresses sometimes overlooked implications.Game theoryEconomicsMathematical modelsGame theory.EconomicsMathematical models.330.01/5193QM 000rvkFerguson William D.1953-1796532MiAaPQMiAaPQMiAaPQBOOK9910957226803321Collective action and exchange4338338UNINA