Difference between revisions of "Simulator"
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* a dataset | * a dataset | ||
* a native executable taking input from command line | * a native executable taking input from command line | ||
| − | * a native executable taking input from | + | * a native executable taking input from standard input |
* a Matlab function | * a Matlab function | ||
* a Matlab class | * a Matlab class | ||
* a Java class | * a Java class | ||
* a shell script | * a shell script | ||
| + | * a human, this is useful if SUMO cannot be coupled to the simulation code directly but a human needs to input the data manually | ||
Usually you already have some kind of simulator and you want to model it with the SUMO Toolbox. See the [[Adding an example]] page for details how to do this. | Usually you already have some kind of simulator and you want to model it with the SUMO Toolbox. See the [[Adding an example]] page for details how to do this. | ||
Latest revision as of 00:40, 27 January 2009
The simulator is the data generating black box for which you want an approximation model (surrogate model). The simulator is anything that, when given a set of input data points, provides a set of output points. The simulator could be:
- a predefined mathematical function, e.g, '
y = sin(x)' (xis the input,ythe output) - a dataset
- a native executable taking input from command line
- a native executable taking input from standard input
- a Matlab function
- a Matlab class
- a Java class
- a shell script
- a human, this is useful if SUMO cannot be coupled to the simulation code directly but a human needs to input the data manually
Usually you already have some kind of simulator and you want to model it with the SUMO Toolbox. See the Adding an example page for details how to do this.
