Stochastic Programming
Herausgegeben:Archetti, Francesco; Di Pillo, G.; Lucertini, M.
Stochastic Programming
Herausgegeben:Archetti, Francesco; Di Pillo, G.; Lucertini, M.
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Working Conference on Stochastic Programming held in Gargnano (Italy), September 15-21, 1983
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Working Conference on Stochastic Programming held in Gargnano (Italy), September 15-21, 1983
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Lecture Notes in Control and Information Sciences 76
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-540-16044-1
- 1985.
- Seitenzahl: 296
- Erscheinungstermin: 1. Dezember 1985
- Englisch
- Abmessung: 244mm x 170mm x 17mm
- Gewicht: 514g
- ISBN-13: 9783540160441
- ISBN-10: 3540160442
- Artikelnr.: 29009759
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Lecture Notes in Control and Information Sciences 76
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-540-16044-1
- 1985.
- Seitenzahl: 296
- Erscheinungstermin: 1. Dezember 1985
- Englisch
- Abmessung: 244mm x 170mm x 17mm
- Gewicht: 514g
- ISBN-13: 9783540160441
- ISBN-10: 3540160442
- Artikelnr.: 29009759
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Minimal time detection of parameter change in a counting process.- Simulation for passage times in non-Markovian networks of queues.- Simulation uses of the exponential distribution.- A probabilistic analysis of Monte Carlo algorithms for a class of counting problems.- An algorithm for solving linear random differential and integral equations.- Growth versus security in a risky investment model.- Queue predictors for stochastic traffic flows control.- Iterative approximations for networks of queues.- Convergence theories of distributed iterative processes: A survey.- Stochastic integer programming: The distribution problem.- The duality between expected utility and penalty in stochastic linear programming.- A feasible solution to dynamic team problems with a common past and application to decentralized dynamic routing.- Stochastic construction of (q,M) problems.- Asymptotically stable solutions to stochastic optimization problems.- On integrated chance constraints.- Algorithms based upon generalized linear programming for stochastic programs with recourse.- On the use of nested decomposition for solving nonlinear multistage stochastic programs.- Contributions to the methodology of stochastic optimization.- A method of feasible directions for solving nonsmooth stochastic programming problems.- A probabilistic analysis of the set packing problem.
Minimal time detection of parameter change in a counting process.- Simulation for passage times in non-Markovian networks of queues.- Simulation uses of the exponential distribution.- A probabilistic analysis of Monte Carlo algorithms for a class of counting problems.- An algorithm for solving linear random differential and integral equations.- Growth versus security in a risky investment model.- Queue predictors for stochastic traffic flows control.- Iterative approximations for networks of queues.- Convergence theories of distributed iterative processes: A survey.- Stochastic integer programming: The distribution problem.- The duality between expected utility and penalty in stochastic linear programming.- A feasible solution to dynamic team problems with a common past and application to decentralized dynamic routing.- Stochastic construction of (q,M) problems.- Asymptotically stable solutions to stochastic optimization problems.- On integrated chance constraints.- Algorithms based upon generalized linear programming for stochastic programs with recourse.- On the use of nested decomposition for solving nonlinear multistage stochastic programs.- Contributions to the methodology of stochastic optimization.- A method of feasible directions for solving nonsmooth stochastic programming problems.- A probabilistic analysis of the set packing problem.