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Solutions manual for recursive methods in economic dynamics [[electronic resource] /] / Claudio Irigoyen, Esteban Rossi-Hansberg, Mark L.J. Wright
Solutions manual for recursive methods in economic dynamics [[electronic resource] /] / Claudio Irigoyen, Esteban Rossi-Hansberg, Mark L.J. Wright
Autore Irigoyen Claudio
Pubbl/distr/stampa Cambridge, MA ; ; London, : Harvard University Press, 2002
Descrizione fisica 1 online resource (x, 291 p.)
Disciplina 330.0151
Altri autori (Persone) Rossi-HansbergEsteban
WrightMark L. J
StokeyNancy L
Soggetto topico Economics, Mathematical
Recursive functions
Dynamic programming
ISBN 0-674-03896-7
Classificazione QH 300
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Foreword -- 1 Introduction -- 2 An Overview -- 3 Mathematical Preliminaries -- 4 Dynamic Programming under Certainty -- 5 Applications of Dynamic Programming under Certainty -- 6 Deterministic Dynamics -- 7 Measure Theory and Integration -- 8 Markov Processes -- 9 Stochastic Dynamic Programming -- 10 Applications of Stochastic Dynamic Programming -- 11 Strong Convergence of Markov Processes -- 12 Weak Convergence of Markov Processes -- 13 Applications of Convergence Results for Markov Processes -- 14 Laws of Large Numbers -- 15 Pareto Optima and Competitive Equilibria -- 16 Applications of Equilibrium Theory -- 17 Fixed-Point Arguments -- 18 Equilibria in Systems with Distortions
Record Nr. UNINA-9910825923903321
Irigoyen Claudio  
Cambridge, MA ; ; London, : Harvard University Press, 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spectral-density-driven bootstrap and time series modeling on dynamic networks / / Jonas Krampe
Spectral-density-driven bootstrap and time series modeling on dynamic networks / / Jonas Krampe
Autore Krampe Jonas
Pubbl/distr/stampa Gottingen : , : Cuvillier Verlag, , 2018
Descrizione fisica 1 online resource (139 pages)
Disciplina 519.703
Soggetto topico Dynamic programming
ISBN 3-7369-8819-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910793512803321
Krampe Jonas  
Gottingen : , : Cuvillier Verlag, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spectral-density-driven bootstrap and time series modeling on dynamic networks / / Jonas Krampe
Spectral-density-driven bootstrap and time series modeling on dynamic networks / / Jonas Krampe
Autore Krampe Jonas
Pubbl/distr/stampa Gottingen : , : Cuvillier Verlag, , 2018
Descrizione fisica 1 online resource (139 pages)
Disciplina 519.703
Soggetto topico Dynamic programming
ISBN 3-7369-8819-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910808265303321
Krampe Jonas  
Gottingen : , : Cuvillier Verlag, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott
Autore Sennott Linn I. <1943->
Pubbl/distr/stampa New York, : John Wiley Sons, c1999
Descrizione fisica 1 online resource (354 p.)
Disciplina 519.703
519.82
Collana Wiley series in probability and statistics. Applied probability and statistics section
Soggetto topico Stochastic programming
Dynamic programming
Queuing theory
ISBN 1-282-30800-9
9786612308000
0-470-31703-5
0-470-31787-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stochastic Dynamic Programming and the Control of Queueing Systems; Contents; Preface; 1. Introduction; 1.1. Examples; 1.2. Aspects of Control; 1.3. Goals and Summary of Chapters; Bibliographic Notes; Problems; 2. Optimization Criteria; 2.1. Basic Notation; 2.2. Policies; 2.3. Conditional Cost Distributions; 2.4. Optimization Criteria; 2.5. Approximating Sequence Method; Bibliographic Notes; Problems; 3. Fiite Horizon Optimization; 3.1. Finite Horizon Optimality Equation; 3.2. ASM for the Finite Horizon; 3.3. When Does FH(α, n) Hold?; 3.4. A Queueing Example; Bibliographic Notes; Problems
4. Lnfinite Horizon Discounted Cost Optimization4.1 Infinite Horizon Discounted Cost Optimality Equation; 4.2 Solutions to the Optimality Equation; 4.3 Convergence of Finite Horizon Value Functions; 4.4 Characterization of Optimal Policies; 4.5 Analytic Properties of the Value Function; 4.6 ASM for the Infinite Horizon Discounted Case; 4.7 When Does DC(α) HOLD?; Bibliographic Notes; Problems; 5. An inventory Model; 5.1. FomuIation of the MDC; 5.2. Optimality Equations; 5.3. An Approximating Sequence; 5.4. Numerical Results; Bibliographic Notes; Problems
6 Average Cost Optimization for Finite State Spaces6.1. A Fundamental Relationship for S Countable; 6.2. An Optimal Stationary Policy Exists; 6.3. An Average Cost Optimality Equation; 6.4. ACOE for Constant Minimum Average Cost; 6.5. Solutions to the ACOE; 6.6 Method of Calculation; 6.7. An Example; Bibliographic Notes; Problems; 7. Average Cost Optimization Theory for Countable State Spaces; 7.1. Counterexamples; 7.2. The (SEN) Assumptions; 7.3. An Example; 7.4. Average Cost Optimality Inequality; 7.5. Sufficient Conditions for the (SEN) Assumptions; 7.6. Examples
7.7. Weakening the (SEN) AssumptionsBibliographic Notes; Problems; 8. Computation of Average Cost Optimal Policies for Infinite State Spaces; 8.1. The (AC) Assumptions; 8.2. Verification of the Assumptions; 8.3. Examples; *8.4. Another Example; 8.5. Service Rate Control Queue; 8.6. Routing to ParalleI Queues; 8.7. Weakening the (AC) Assumptions; Bibliographic Notes; Problems; 9. Optimization Under Actions at Selected Epochs; 9.1. Single- and Multiple-Sample Models; 9.2. Properties of an MS Distribution; 9.3. Service Control of the Single-Server Queue
9.4. Arrival Control of the Single-Server Queue9.5. Average Cost Optimization of Example 9.3.1; 9.6. Average Cost Optimization of Example 9.3.2; 9.7. Computation Under Deterministic Service Times; 9.8. Computation Under Geometric Service Times; Bibliographic Notes; Problems; 10. Average Cost Optimization of Continuous Time Processes; 10.1. Exponential Distributions and the Poisson Process; 10.2. Continuous Time Markov Decision Chains; 10.3. Average Cost Optimization of a CTMDC; 10.4. Service Rate Control of the M/M/l Queue,; 10.5. MW/K Queue with Dynamic Service Pool
10.6. Control of a Polling System
Record Nr. UNINA-9910145768203321
Sennott Linn I. <1943->  
New York, : John Wiley Sons, c1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott
Autore Sennott Linn I. <1943->
Pubbl/distr/stampa New York, : John Wiley Sons, c1999
Descrizione fisica 1 online resource (354 p.)
Disciplina 519.703
519.82
Collana Wiley series in probability and statistics. Applied probability and statistics section
Soggetto topico Stochastic programming
Dynamic programming
Queuing theory
ISBN 1-282-30800-9
9786612308000
0-470-31703-5
0-470-31787-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stochastic Dynamic Programming and the Control of Queueing Systems; Contents; Preface; 1. Introduction; 1.1. Examples; 1.2. Aspects of Control; 1.3. Goals and Summary of Chapters; Bibliographic Notes; Problems; 2. Optimization Criteria; 2.1. Basic Notation; 2.2. Policies; 2.3. Conditional Cost Distributions; 2.4. Optimization Criteria; 2.5. Approximating Sequence Method; Bibliographic Notes; Problems; 3. Fiite Horizon Optimization; 3.1. Finite Horizon Optimality Equation; 3.2. ASM for the Finite Horizon; 3.3. When Does FH(α, n) Hold?; 3.4. A Queueing Example; Bibliographic Notes; Problems
4. Lnfinite Horizon Discounted Cost Optimization4.1 Infinite Horizon Discounted Cost Optimality Equation; 4.2 Solutions to the Optimality Equation; 4.3 Convergence of Finite Horizon Value Functions; 4.4 Characterization of Optimal Policies; 4.5 Analytic Properties of the Value Function; 4.6 ASM for the Infinite Horizon Discounted Case; 4.7 When Does DC(α) HOLD?; Bibliographic Notes; Problems; 5. An inventory Model; 5.1. FomuIation of the MDC; 5.2. Optimality Equations; 5.3. An Approximating Sequence; 5.4. Numerical Results; Bibliographic Notes; Problems
6 Average Cost Optimization for Finite State Spaces6.1. A Fundamental Relationship for S Countable; 6.2. An Optimal Stationary Policy Exists; 6.3. An Average Cost Optimality Equation; 6.4. ACOE for Constant Minimum Average Cost; 6.5. Solutions to the ACOE; 6.6 Method of Calculation; 6.7. An Example; Bibliographic Notes; Problems; 7. Average Cost Optimization Theory for Countable State Spaces; 7.1. Counterexamples; 7.2. The (SEN) Assumptions; 7.3. An Example; 7.4. Average Cost Optimality Inequality; 7.5. Sufficient Conditions for the (SEN) Assumptions; 7.6. Examples
7.7. Weakening the (SEN) AssumptionsBibliographic Notes; Problems; 8. Computation of Average Cost Optimal Policies for Infinite State Spaces; 8.1. The (AC) Assumptions; 8.2. Verification of the Assumptions; 8.3. Examples; *8.4. Another Example; 8.5. Service Rate Control Queue; 8.6. Routing to ParalleI Queues; 8.7. Weakening the (AC) Assumptions; Bibliographic Notes; Problems; 9. Optimization Under Actions at Selected Epochs; 9.1. Single- and Multiple-Sample Models; 9.2. Properties of an MS Distribution; 9.3. Service Control of the Single-Server Queue
9.4. Arrival Control of the Single-Server Queue9.5. Average Cost Optimization of Example 9.3.1; 9.6. Average Cost Optimization of Example 9.3.2; 9.7. Computation Under Deterministic Service Times; 9.8. Computation Under Geometric Service Times; Bibliographic Notes; Problems; 10. Average Cost Optimization of Continuous Time Processes; 10.1. Exponential Distributions and the Poisson Process; 10.2. Continuous Time Markov Decision Chains; 10.3. Average Cost Optimization of a CTMDC; 10.4. Service Rate Control of the M/M/l Queue,; 10.5. MW/K Queue with Dynamic Service Pool
10.6. Control of a Polling System
Record Nr. UNINA-9910830753203321
Sennott Linn I. <1943->  
New York, : John Wiley Sons, c1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott
Autore Sennott Linn I. <1943->
Pubbl/distr/stampa New York, : John Wiley Sons, c1999
Descrizione fisica 1 online resource (354 p.)
Disciplina 519.703
519.82
Collana Wiley series in probability and statistics. Applied probability and statistics section
Soggetto topico Stochastic programming
Dynamic programming
Queuing theory
ISBN 1-282-30800-9
9786612308000
0-470-31703-5
0-470-31787-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Stochastic Dynamic Programming and the Control of Queueing Systems; Contents; Preface; 1. Introduction; 1.1. Examples; 1.2. Aspects of Control; 1.3. Goals and Summary of Chapters; Bibliographic Notes; Problems; 2. Optimization Criteria; 2.1. Basic Notation; 2.2. Policies; 2.3. Conditional Cost Distributions; 2.4. Optimization Criteria; 2.5. Approximating Sequence Method; Bibliographic Notes; Problems; 3. Fiite Horizon Optimization; 3.1. Finite Horizon Optimality Equation; 3.2. ASM for the Finite Horizon; 3.3. When Does FH(α, n) Hold?; 3.4. A Queueing Example; Bibliographic Notes; Problems
4. Lnfinite Horizon Discounted Cost Optimization4.1 Infinite Horizon Discounted Cost Optimality Equation; 4.2 Solutions to the Optimality Equation; 4.3 Convergence of Finite Horizon Value Functions; 4.4 Characterization of Optimal Policies; 4.5 Analytic Properties of the Value Function; 4.6 ASM for the Infinite Horizon Discounted Case; 4.7 When Does DC(α) HOLD?; Bibliographic Notes; Problems; 5. An inventory Model; 5.1. FomuIation of the MDC; 5.2. Optimality Equations; 5.3. An Approximating Sequence; 5.4. Numerical Results; Bibliographic Notes; Problems
6 Average Cost Optimization for Finite State Spaces6.1. A Fundamental Relationship for S Countable; 6.2. An Optimal Stationary Policy Exists; 6.3. An Average Cost Optimality Equation; 6.4. ACOE for Constant Minimum Average Cost; 6.5. Solutions to the ACOE; 6.6 Method of Calculation; 6.7. An Example; Bibliographic Notes; Problems; 7. Average Cost Optimization Theory for Countable State Spaces; 7.1. Counterexamples; 7.2. The (SEN) Assumptions; 7.3. An Example; 7.4. Average Cost Optimality Inequality; 7.5. Sufficient Conditions for the (SEN) Assumptions; 7.6. Examples
7.7. Weakening the (SEN) AssumptionsBibliographic Notes; Problems; 8. Computation of Average Cost Optimal Policies for Infinite State Spaces; 8.1. The (AC) Assumptions; 8.2. Verification of the Assumptions; 8.3. Examples; *8.4. Another Example; 8.5. Service Rate Control Queue; 8.6. Routing to ParalleI Queues; 8.7. Weakening the (AC) Assumptions; Bibliographic Notes; Problems; 9. Optimization Under Actions at Selected Epochs; 9.1. Single- and Multiple-Sample Models; 9.2. Properties of an MS Distribution; 9.3. Service Control of the Single-Server Queue
9.4. Arrival Control of the Single-Server Queue9.5. Average Cost Optimization of Example 9.3.1; 9.6. Average Cost Optimization of Example 9.3.2; 9.7. Computation Under Deterministic Service Times; 9.8. Computation Under Geometric Service Times; Bibliographic Notes; Problems; 10. Average Cost Optimization of Continuous Time Processes; 10.1. Exponential Distributions and the Poisson Process; 10.2. Continuous Time Markov Decision Chains; 10.3. Average Cost Optimization of a CTMDC; 10.4. Service Rate Control of the M/M/l Queue,; 10.5. MW/K Queue with Dynamic Service Pool
10.6. Control of a Polling System
Record Nr. UNINA-9910840905003321
Sennott Linn I. <1943->  
New York, : John Wiley Sons, c1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Theoretical and software considerations for nonlinear dynamic analysis [[electronic resource] /] / by Richard J. Schmidt, Robert H. Dodds Jr
Theoretical and software considerations for nonlinear dynamic analysis [[electronic resource] /] / by Richard J. Schmidt, Robert H. Dodds Jr
Autore Schmidt Richard J
Pubbl/distr/stampa Lawrence, Kan. : , : University of Kansas Center for Research, , [1983]
Descrizione fisica 1 online resource (viii, 292 pages) : digital, PDF file
Altri autori (Persone) DoddsR. H <1952-> (Robert H.)
Collana SM report
NASA CR
Soggetto topico Displacement
Dynamic programming
Fatigue (materials)
Finite element method
Linearity
Nonlinearity
Stresses
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910700183003321
Schmidt Richard J  
Lawrence, Kan. : , : University of Kansas Center for Research, , [1983]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui