GRAPHICAL DECOMPOSITION OF THE STOCHASTIC NETWORK

被引:0
|
作者
YANAGAWA, N [1 ]
NISHIDA, T [1 ]
机构
[1] OSAKA UNIV,FAC ENGN,DEPT APPL PHYS,SUITA,OSAKA 565,JAPAN
关键词
D O I
10.15807/jorsj.22.85
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
引用
收藏
页码:85 / 94
页数:10
相关论文
共 50 条
  • [1] Convergence of Infinite Products of Stochastic Matrices: A Graphical Decomposition Criterion
    Chen, Yao
    Xiong, Wenjun
    Li, Fangfei
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (11) : 3599 - 3605
  • [2] A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design
    Bertsimas, Dimitris
    Cory-Wright, Ryan
    Pauphilet, Jean
    Petridis, Periklis
    INFORMS JOURNAL ON COMPUTING, 2024,
  • [3] ANALYTIC STUDIES OF STOCHASTIC NETWORKS USING METHODS OF NETWORK DECOMPOSITION
    DISNEY, RL
    JOURNAL OF INDUSTRIAL ENGINEERING, 1967, 18 (01): : 140 - &
  • [4] Stochastic virtual network embedding via accelerated Benders decomposition
    Farkiani, Behrooz
    Bakhshi, Bahador
    MirHassani, S. Ali
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 94 : 199 - 213
  • [5] Decomposition of graphical sequences and unigraphs
    Tyshkevich, R
    DISCRETE MATHEMATICS, 2000, 220 (1-3) : 201 - 238
  • [6] Modeling and analyzing social network dynamics using stochastic discrete graphical dynamical systems
    Barrett, Chris
    Hunt, Harry B., III
    Marathe, Madhav V.
    Ravi, S. S.
    Rosenkrantz, Daniel J.
    Stearns, Richard E.
    THEORETICAL COMPUTER SCIENCE, 2011, 412 (30) : 3932 - 3946
  • [7] Forecasting stochastic neural network based on financial empirical mode decomposition
    Wang, Jie
    Wang, Jun
    NEURAL NETWORKS, 2017, 90 : 8 - 20
  • [8] ACCELERATING THE BENDERS DECOMPOSITION METHOD: APPLICATION TO STOCHASTIC NETWORK DESIGN PROBLEMS
    Rahmaniani, Ragheb
    Crainic, Teodor Gabriel
    Gendreau, Michel
    Rei, Walter
    SIAM JOURNAL ON OPTIMIZATION, 2018, 28 (01) : 875 - 903
  • [9] An asynchronous parallel benders decomposition method for stochastic network design problems
    Rahmaniani, Ragheb
    Crainic, Teodor Gabriel
    Gendreau, Michel
    Rei, Walter
    COMPUTERS & OPERATIONS RESEARCH, 2024, 162
  • [10] A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification
    Cheng, Chunbo
    Zhang, Liming
    Li, Hong
    Dai, Lei
    Cui, Wenjing
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 33 : 1080 - 1094