Requirements for model development environments
Computers and Operations Research
The simulation model development environment: an overview
WSC '92 Proceedings of the 24th conference on Winter simulation
Parallel discrete event simulation: a modeling methodological perspective
PADS '94 Proceedings of the eighth workshop on Parallel and distributed simulation
A review of advanced methods for simulation output analysis
WSC '94 Proceedings of the 26th conference on Winter simulation
Validation, verification, and testing techniques throughout the life cycle of a simulation study
WSC '94 Proceedings of the 26th conference on Winter simulation
Output analysis research (panel discussion): why bother?
WSC '94 Proceedings of the 26th conference on Winter simulation
Automatic development of parallel simulation models in ADA
WSC '88 Proceedings of the 20th conference on Winter simulation
Model generation issues in a simulation support environment
WSC' 90 Proceedings of the 22nd conference on Winter simulation
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"Computer simulation" is a broadly used term that can take on different meanings depending often on the disciplinary context. Within statistics the term is applied to repetitive sampling, described in more specific terms as "Monte Carlo simulation." Those working with computational solutions of numerical systems, typically modeling fluid flow or ballistics, use the term in place of the more specific "continuous simulation." While those modeling queueing or inventory problems in computer science, operations research or management science, use the term in place of the more accurate descriptor "discrete event simulation." This third substitution has become more prevalent; because the problem domains addressed have emerged as the most prominent. That is not to say that no meaningful work is on-going in the other disciplinary areas; rather the other two identified more readily with disciplinary areas, have profited from their ready recognition as belonging to statistics or applied mathematics.