Difference between revisions of "Extending"
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| − | The | + | The SUMO Toolbox can be extended in many ways. If you simply want to model your own problem see the [[Adding an example]] and [[Interfacing with the toolbox]] pages. |
== Prerequisites == | == Prerequisites == | ||
| Line 7: | Line 7: | ||
What do you want to do? | What do you want to do? | ||
| − | * [[Add Model Type]] | + | * [[Add Model Type|Add a new model type]] |
| − | * [[Add Modeling Algorithm]] | + | * [[Add Modeling Algorithm|Add an optimization algorithm to optimize the model parameters]] |
| − | * [[Add Initial Design]] | + | * [[Add Initial Design|Add a new initial experimental design]] |
| − | * [[Add Sampling Algorithm]] | + | * [[Add Sampling Algorithm|Add a sample selection algorithm]] |
| − | * [[Add Measure]] | + | * [[Add Measure|Add a new model selection criteria]] |
| − | * [[Add Distributed Backend]] | + | * [[Add Distributed Backend|Add a distributed backend to run simulations in parallel]] |
| − | * [[Add Profiler]] | + | * [[Add Profiler|Add a profiler to monitor some aspect of the modeling]] |
| + | * [[Optimizer|Add a new general purpose optimization algorithm]] | ||
== Tips == | == Tips == | ||
| − | |||
* Please use the logging framework for all output! Look at the source code to see how we used it. You can find more details on the logging framework in the java.util.logging package documentation. | * Please use the logging framework for all output! Look at the source code to see how we used it. You can find more details on the logging framework in the java.util.logging package documentation. | ||
Latest revision as of 19:59, 29 September 2009
The SUMO Toolbox can be extended in many ways. If you simply want to model your own problem see the Adding an example and Interfacing with the toolbox pages.
Prerequisites
First make sure you have read and understand the coding guidelines and the toolbox internals pages. You may also want to refer to the Object Oriented Programming in matlab page .
Component
What do you want to do?
- Add a new model type
- Add an optimization algorithm to optimize the model parameters
- Add a new initial experimental design
- Add a sample selection algorithm
- Add a new model selection criteria
- Add a distributed backend to run simulations in parallel
- Add a profiler to monitor some aspect of the modeling
- Add a new general purpose optimization algorithm
Tips
- Please use the logging framework for all output! Look at the source code to see how we used it. You can find more details on the logging framework in the java.util.logging package documentation.
