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SSJ: SSJ: a framework for stochastic simulation in Java
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Source Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents
San Diego, California
SESSION: Software/modelware tutorials b table of contents
Pages: 234 - 242  
Year of Publication: 2002
ISBN:0-7803-7615-3
Authors
Pierre L'Ecuyer  Universitè de Montrèal, Montrèal
Lakhdar Meliani  Universitè de Montrèal, Montrèal
Jean Vaucher  Universitè de Montrèal, Montrèal
Sponsors
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
Publisher
Winter Simulation Conference 
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 25,   Citation Count: 9
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abstract   references   cited by   collaborative colleagues  

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ABSTRACT

We introduce SSJ, an organized set of software tools implemented in the Java programming language and offering general-purpose facilities for stochastic simulation programming. It supports the event view, process view, continuous simulation, and arbitrary mixtures of these. Performance, flexibility, and extensibility were key criteria in its design and implementation. We illustrate its use by simple examples and discuss how we dealt with some performance issues in the implementation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Buss, A. H. 2001. Discrete event programming with Simkit. Simulation News Europe 32/33: 15--26.
 
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L'Ecuyer, P. 2001b. SSJ: A Java library for stochastic simulation. Software user's guide.
 
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L'Ecuyer, P. 2002. SSC: A library for stochastic simulation in C. Software user's guide.
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L'Ecuyer, P., and C. Lemieux. 2002. Recent advances in randomized quasi-monte carlo methods. In Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, ed. M. Dror, P. L'Ecuyer, and F. Szidarovszki, 419--474. Boston: Kluwer Academic Publishers.
 
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Little, M. C. 1999. JavaSim user's guide. Available on-line at <http://javasim.ncl.ac.uk/>.
 
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Meliani, L. 2002. Un cadre d'application pour la simulation stochastique en Java. Master's thesis, DIRO, Université de Montréal. Forthcoming.
 
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Tyan, H.-Y., and C.-J. Hou. 2002. JavaSim on-line manuals and tutorials. Available on-line at <http://javasim.cs.uiuc.edu>.

CITED BY  9
 
 
 
 
 
 
 
 
 
Collaborative Colleagues:
Pierre L'Ecuyer: colleagues
Lakhdar Meliani: colleagues
Jean Vaucher: colleagues