| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 正題名/作者: |
Analytical and stochastic modelling techniques and applications/ edited by Arnaud Devos, András Horváth, Sabina Rossi. |
| 其他題名: |
28th International Conference, ASMTA 2024, Venice, Italy, June 14, 2024 : proceedings / |
| 其他題名: |
ASMTA 2024 |
| 其他作者: |
Devos, Arnaud. |
| 團體作者: |
ASMTA (Conference) |
| 出版者: |
Cham :Springer Nature Switzerland : : 2025., |
| 面頁冊數: |
ix, 165 p. :ill. (some col.), digital ;24 cm. |
| 內容註: |
Markov chain aggregation with error bounds on transient distributions. -- Strong Aggregation in the Stochastic matching model with Random Discipline. -- Optimal Allocation of Tasks to Networked Computing Facilities. -- Revenue Management for Parallel Services with Fully Observable Queues. -- Deep reinforcement learning for weakly coupled MDP's with continuous actions. -- A lazy abstraction algorithm for Markov decision processes: theory and initial evaluation. -- Queueing Analysis of an Ensemble Machine Learning System. -- Analysis of load balancing prioritization for heterogeneous M/M/c/K server clusters in the stationary mean-field regime. -- An algebraic proof of the relation of Markov fluid queues and QBD processes. -- Stability of the Multiserver Job Queuing Model with Infinite Resources. |
| Contained By: |
Springer Nature eBook |
| 標題: |
Computer science - Congresses. - |
| 電子資源: |
https://doi.org/10.1007/978-3-031-70753-7 |
| ISBN: |
9783031707537 |