A Monte Carlo Estimator Based on a State Space Decomposition Methodology for Flow Network Reliability

Monte Carlo and Quasi-Monte Carlo Methods 1996 - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1690-2_9 ◽

1998 ◽

pp. 161-175

Author(s):

Stéphane Bulteau ◽

Mohamed El Khadiri

Keyword(s):

Monte Carlo ◽

State Space ◽

Network Reliability ◽

Flow Network ◽

Space Decomposition

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A new importance sampling Monte Carlo method for a flow network reliability problem

Naval Research Logistics (NRL) ◽

10.1002/nav.10004 ◽

2002 ◽

Vol 49 (2) ◽

pp. 204-228 ◽

Author(s):

St�phane Bulteau ◽

Mohamed El Khadiri

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Importance Sampling ◽

Network Reliability ◽

Flow Network ◽

Reliability Problem

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A Monte Carlo simulation of the flow network reliability using importance and stratified sampling

RAIRO - Operations Research ◽

10.1051/ro/1998320302711 ◽

1998 ◽

Vol 32 (3) ◽

pp. 271-287 ◽

Author(s):

S. Bulteau ◽

M. El Khadiri

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Network Reliability ◽

Stratified Sampling ◽

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An improved bounding algorithm for approximating multistate network reliability based on state-space decomposition method

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107500 ◽

2021 ◽

Vol 210 ◽

pp. 107500

Author(s):

Tao Liu ◽

Guanghan Bai ◽

Junyong Tao ◽

Yun-An Zhang ◽

Yining Fang

Keyword(s):

State Space ◽

Decomposition Method ◽

Network Reliability ◽

Space Decomposition

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State Space Decomposition into Cyclic Subspaces and Transformation to the Jordan Form

10.23919/acc.1984.4788480 ◽

1984 ◽

Author(s):

R. P. Guidorzi ◽

T. E. Bullock ◽

G. Basile

Keyword(s):

State Space ◽

Jordan Form ◽

Space Decomposition

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An Efficient Markov-Chain Monte Carlo Method for the State Space Models with Stochastic Volatility

SSRN Electronic Journal ◽

10.2139/ssrn.2340389 ◽

2013 ◽

Author(s):

Yu-Fan Huang

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Method ◽

State Space ◽

Stochastic Volatility ◽

The State ◽

State Space Models

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Hydrological response to earthquakes in the Haibara well, central Japan - I. Groundwater level changes revealed using state space decomposition of atmospheric pressure, rainfall and tidal responses

Geophysical Journal International ◽

10.1111/j.1365-246x.2003.02103.x ◽

2003 ◽

Vol 155 (3) ◽

pp. 885-898 ◽

Author(s):

N. Matsumoto ◽

G. Kitagawa ◽

E. A. Roeloffs

Keyword(s):

State Space ◽

Groundwater Level ◽

Atmospheric Pressure ◽

Hydrological Response ◽

Central Japan ◽

Space Decomposition ◽

Groundwater Level Changes

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The method of network reliability and availability simulation based on Monte Carlo

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering ◽

10.1109/icqr2mse.2012.6246229 ◽

2012 ◽

Author(s):

Yinan Jiang ◽

Ruiying Li ◽

Rui Kang ◽

Ning Huang

Keyword(s):

Monte Carlo ◽

Network Reliability ◽

Simulation Based ◽

Reliability And Availability

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Theory and applications of an integrated model for capacitated-flow network reliability analysis

Computers & Industrial Engineering ◽

10.1016/j.cie.2021.107877 ◽

2021 ◽

pp. 107877

Author(s):

Ping-Chen Chang

Keyword(s):

Reliability Analysis ◽

Network Reliability ◽

Integrated Model ◽

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A CA-SVM Based Monte Carlo Approach for Evaluating Complex Network Reliability

The 19th International Conference on Industrial Engineering and Engineering Management ◽

10.1007/978-3-642-38433-2_66 ◽

2013 ◽

pp. 609-617 ◽

Author(s):

Yuan-peng Ruan ◽

Zhen He

Keyword(s):

Monte Carlo ◽

Complex Network ◽

Network Reliability ◽

Monte Carlo Approach

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Monte Carlo and Markov chain techniques for network reliability and sampling

DIMACS Series in Discrete Mathematics and Theoretical Computer Science - Computational Support for Discrete Mathematics ◽

10.1090/dimacs/015/14 ◽

1994 ◽

pp. 199-222

Author(s):

Adam Buchsbaum ◽

Milena Mihail

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Network Reliability

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