Difference between revisions of "Modelling Guide"
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= Mini-Tutorials = | = Mini-Tutorials = | ||
Revision as of 01:20, 17 July 2009
This section give tips and guidelines from the experts on how to model with Analytica.
Concepts
- Array Abstraction
- Evaluation Modes
- Modules and Libraries : Organizing models, storing in separate files for collaboration or reuse.
- Expressing Uncertainty : Distributions, sampling methods, the Run index, etc.
- Intelligent Multi-Dimensional Arrays
- Associative vs. Positional Indexing
- Self-Indexed Arrays
- Implicit Dimensions (aka Lists, null-indexed arrays, unnamed dimensions)
- User-Defined Functions
- Using References
- Modeling Changes over Time
- Parametric Analysis
- Optimization
- Scripting : Button scripts, typescript
- Special Values INF, NAN, Null, and Undefined
- Local Indexes
- Table Splicing - edit tables based on computed indexes
- OLE Linking
- Model building by mouse Enabling modelers to build models by copying nodes and drawing arrows
- Analytica Object Classes
- Controlling When Result Are Cached
Mini-Tutorials
Currently, the ones here are focused on features new to 4.0. But more will be coming. For more material along these lines, see the list of past Analytica User Group webinars at Analytica User Group.
- Graphing
- Integration with External Programs and Data.
Suggested Topics
Please list other areas for which you would like tips or guidelines, or add your own:
- Choosing the Sample Size
- Dynamic simulation
- Programs that do things with and to models
- How to make models transparent and easy to understand
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