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Record Nr. |
UNINA9910830753203321 |
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Autore |
Sennott Linn I. <1943-> |
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Titolo |
Stochastic dynamic programming and the control of queueing systems [[electronic resource] /] / Linn I. Sennott |
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Pubbl/distr/stampa |
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New York, : John Wiley Sons, c1999 |
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ISBN |
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1-282-30800-9 |
9786612308000 |
0-470-31703-5 |
0-470-31787-6 |
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Descrizione fisica |
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1 online resource (354 p.) |
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Collana |
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Wiley series in probability and statistics. Applied probability and statistics section |
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Disciplina |
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Soggetti |
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Stochastic programming |
Dynamic programming |
Queuing theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"A Wiley-Interscience publication." |
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Nota di bibliografia |
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Includes bibliographical references (p. 316-323) and index. |
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Nota di contenuto |
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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 |
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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 |
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Sommario/riassunto |
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A path-breaking account of Markov decision processes-theory and computationThis book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic programming makes it a valuable working resource for operations research professionals, management scientists, engineers, and others.Stochastic Dynamic Programmi |
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2. |
Record Nr. |
UNINA9910828376703321 |
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Autore |
Collin Peter |
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Titolo |
Privat-staatliche Regelungsstrukturen im frühen industrie- und sozialstaat / / Peter Collin |
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Pubbl/distr/stampa |
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Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter Oldenbourg, , 2016 |
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©2016 |
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ISBN |
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3-11-039669-6 |
3-11-037970-8 |
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Descrizione fisica |
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1 online resource (224 p.) |
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Collana |
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methodica - Einführungen in die rechtshistorische Forschung ; ; Band 2 |
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Classificazione |
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Disciplina |
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Soggetti |
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Public-private sector cooperation - Law and legislation - History |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Vorwort der Herausgeber -- Vorwort des Verfassers -- Inhalt -- Abkürzungen und Kurzbezeichnungen -- 1. Überblick zur Forschungsgeschichte -- 2. Überblick zur Rechtsentwicklung -- 3. Quellen und Quelleneditionen -- 4. Hilfsmittel -- 5. Themenfelder gegenwärtiger Forschung -- 6. Forschungsperspektiven -- 7. Internationaler Vergleich und Wechselwirkungen -- Bibliographie -- Sachregister |
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Sommario/riassunto |
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In privat-staatlichen Regelungsstrukturen verfügt jede Seite über Mitentscheidungs- oder zumindest Konsultativbefugnisse. Es sind oft Kombinationen von rein privatrechtlichen Beziehungen und öffentlich-rechtlichen Befehlsstrukturen. Heute unter Schlagworten wie "Governance" oder "regulierte Selbstregulierung" intensiv diskutiert, reichen sie aber bis ins 19. Jahrhundert zurück. Der Band stellt sie vor und eröffnet weitere Forschungsperspektiven. |
In private-public regulatory structures, decisions are made collectively, with each side possessing consultative rights at the very minimum. Such structures are often amalgams of purely private law relationships and public law administrative bodies. Discussed today in terms of “governance” and “regulated self-regulation,” their origins go back to the 19th century. This volume presents their history and opens further research perspectives. |
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