ADORN
发表于 2025-3-25 04:51:51
Helmuth Ludwig,Alastair Orchardchain to achieve an economic objective. Control is exercised by taking a sequence of actions, each of which may depend on the currently observed state and may influence both the immediate cost and the next state transition.
Dissonance
发表于 2025-3-25 10:44:26
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鸽子
发表于 2025-3-25 13:11:26
Disruptive Innovation Through 3D Printing of the research effort has been devoted to so-called Jackson networks, that is, networks with Poisson arrivals, exponential service times and routing independent of the state of the system and the history of the customer. The steady-state distribution of Jackson networks can be expressed in a so-ca
含铁
发表于 2025-3-25 17:43:41
Yongyi Shou,Mingu Kang,Young Won Parkcomputer and communication systems. While system . has received a lot of attention in the past, increasingly system . is gaining importance. The proliferation of computer and computer-based communication systems has contributed to this in no small measure. This chapter is thus a step in the directio
vasculitis
发表于 2025-3-25 22:43:01
https://doi.org/10.1007/978-1-4757-4828-4Markov Chains; Markov chain; Markov model; modeling; optimization
Instantaneous
发表于 2025-3-26 01:43:00
978-1-4419-5100-7Springer Science+Business Media New York 2000
absolve
发表于 2025-3-26 04:50:11
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/c/image/232907.jpg
接合
发表于 2025-3-26 12:24:21
Computational Probability978-1-4757-4828-4Series ISSN 0884-8289 Series E-ISSN 2214-7934
FILLY
发表于 2025-3-26 13:52:55
Robert Handfield,Daniel J. Finkenstadtges in the area of computational probability. To set the stage, we discuss the objectives of computational probability in more detail, and we point out the difficulties one encounters in this area. We also contrast computational probability with other approaches.
欢笑
发表于 2025-3-26 17:33:42
Forschungsmodell Supply Chain Integration,is represented by a number of states and rules that govern the manner in which it moves from one state to the next. The state of an automaton at any time . is just the state it occupies at time . and the state of the SAN at time . is given by the state of each of its constituent automata.