what is the exact difference between Continuous, discrete event and discrete rate simulation?
Discrete event simulation is appropriate for systems whose state is discrete and changes at particular time point and then remains in that state for some time. An example of such a system is the number of customers in a post office: The number of customers is discrete (integer) and the number of customers only changes when someone enters the post office or finishes its business at the counter.
Continuous simulation is appropriate for systems with a continuous state that changes continuously over time. An example of such a systems is the amount of liquid in a tank and or its temperature. Such a system can be described by differential equations. Continuous simulation is a technique to solve these equations numerically.
i want to apply simulation method into my research. my data is in panel. i want to predict the performance to see what will happen in future.
plz. let me know which method of simulation will apply.
thanks
Hi Nazim,
If you are using matlab for your simulation, I would suggest to check the resources in the following link for examples and video tutorials on Predictive Modelling,
https://se.mathworks.com/discovery/predictive-modeling.html
Cheers!
Joachim Arts : Notice that DES does not imply that the system state is discrete, but only that state changes are discrete! Therefore, in a discrete event simulation, you can use continuous variables (having floating-point numbers as their values), e.g., the annual revenue of a business. See also https://sim4edu.com/des-models/. Likewise, a continuous simulation may have a combination of discrete and continuous state variables. See also https://sim4edu.com/continuous-models. Masoud Mehrabi koushki
: your simulation problem calls for a hybrid (discrete-continuous) model.- Badges
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