Stochastic Differential Systems, Stochastic Control Theory and Applications: Proceedings of a Workshop, held at IMA, June 9-19, 1986: The IMA Volumes in Mathematics and its Applications, cartea 10
Editat de Wendell Fleming, Pierre-Louis Lionsen Limba Engleză Paperback – 11 noi 2011
Din seria The IMA Volumes in Mathematics and its Applications
- 18% Preț: 939.58 lei
- 15% Preț: 635.02 lei
- 15% Preț: 637.31 lei
- 15% Preț: 640.53 lei
- Preț: 389.33 lei
- 15% Preț: 638.10 lei
- 15% Preț: 646.86 lei
- 15% Preț: 646.40 lei
- Preț: 383.01 lei
- 15% Preț: 634.69 lei
- 15% Preț: 638.61 lei
- 15% Preț: 662.48 lei
- Preț: 385.50 lei
- Preț: 385.65 lei
- 20% Preț: 330.96 lei
- 15% Preț: 640.22 lei
- Preț: 379.94 lei
- Preț: 377.84 lei
- Preț: 395.61 lei
- 5% Preț: 1406.37 lei
- Preț: 379.55 lei
- Preț: 377.45 lei
- Preț: 396.74 lei
- 15% Preț: 638.93 lei
- Preț: 386.63 lei
- 18% Preț: 937.23 lei
- 20% Preț: 341.90 lei
- 18% Preț: 941.93 lei
- 5% Preț: 1408.92 lei
- 18% Preț: 938.33 lei
Preț: 651.74 lei
Preț vechi: 766.75 lei
-15% Nou
Puncte Express: 978
Preț estimativ în valută:
124.82€ • 128.60$ • 104.56£
124.82€ • 128.60$ • 104.56£
Carte tipărită la comandă
Livrare economică 24 februarie-10 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781461387640
ISBN-10: 1461387647
Pagini: 628
Ilustrații: XIII, 609 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.87 kg
Ediția:Softcover reprint of the original 1st ed. 1988
Editura: Springer
Colecția Springer
Seria The IMA Volumes in Mathematics and its Applications
Locul publicării:New York, NY, United States
ISBN-10: 1461387647
Pagini: 628
Ilustrații: XIII, 609 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.87 kg
Ediția:Softcover reprint of the original 1st ed. 1988
Editura: Springer
Colecția Springer
Seria The IMA Volumes in Mathematics and its Applications
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Optimality of “full bang to reduce predicted miss” for some partially observed stochastic control problems.- On some approximation techniques in non-linear filtering.- Applications of Homogenization Theory to the control of flexible structures.- Control of Markov chains with long-run average cost criterion.- Automatic study in stochastic control.- Some results on Kolmogoroff equations for infinite dimensional stochastic systems.- Hamilton-Jacobi equations with constraints.- An approximate minimum principle for a partially observed Markov chain.- Generalized solutions in the optimal control of diffusions.- Consistency of maximum likelihood and pseudo-likelihood estimators for Gibbs Distributions.- Brownian models of queueing networks with heterogeneous customer populations.- Non-linear filtering — the degenerate case.- The asymptotic behaviour of the maximum likelihood estimates for a class of diffusion processes.- The filtering problem for infinite dimensional stochastic processes.- Stochastic control under finite-fuel constraints.- Recent advances in the theory of stochastic adaptive control.- Almost optimal controls for wideband noise driven systems.- Asymptotic solutions of bandit problems.- Viscosity solutions of second-order equations, stochastic control and stochastic differential games.- On the memory length of the optimal nonlinear filter.- Implementation issues for Markov decision processes.- Navigating and stopping multi-parameter bandit processes.- Bounded variation control of a damped linear oscillator under random disturbances.- The support of the law of a filter in C? topology.- Existence of densities for statistics in the cubic sensor problem.- Piecewise linear filtering.- Quick simulation of excessive backlogs in networks of queues.- On someperturbation problems in optimal stopping and impulse control.- Optimal control of jump-markov processes and viscosity solutions.- An introduction to singular stochastic control.- Scheduling, routing, and flow control in stochastic networks.- Product expansions of exponential Lie Series and the discretization of stochastic differential equations.- A survey of large time asymptotics of simulated annealing algorithms.- Stochastic scheduling on parallel processors and minimization of concave functions of completion times.