Introduction to Simulation and SLAM II (3rd ed.)
Introduction to Simulation and SLAM II (3rd ed.)
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Combined discrete-continuous simulation models in ProModel for Windows
WSC '95 Proceedings of the 27th conference on Winter simulation
Hybrid agent-based simulation for analyzing the national airspace system
Proceedings of the 33nd conference on Winter simulation
Discrete-Event Simulation of Fluid Stochastic Petri Nets
IEEE Transactions on Software Engineering
An approach for the effective utilization of GP-GPUs in parallel combined simulation
Proceedings of the 40th Conference on Winter Simulation
PADS '11 Proceedings of the 2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
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Continuous state variables in combined discrete-continuous simulation models (combined models) commonly represent physical quantities, such as fluid levels or temperatures, that are governed by physical laws, and these laws are expressed as differential equations of state. The combined simulation modeling program commonly integrates the differential equations numerically, in step with its computations that describe the evolution of the discrete events. In addition to the pitfalls familiar to numerical integration, special hazards due to the interacting discrete events may confront the analyst seeking high performance in a complex model. This paper first discusses, in the context of discrete event modeling packages, some requirements for obtaining accuracy and speed in the numerical integration of the continuous variables in combined models, and second, it describes approaches that can be used to meet those requirements in selected commercial modeling packages.