Monday, January 23, 2012

Comparing some modeling languages

Not an easy task, as can be seen here:

To really appreciate the features of a modeling system requires quite some investment. When comparing more systems, also often a “least common denominator” model is used. Some issues are more specialized, such as:

  1. Is there support for non-linear programming 
  2. Performance characteristics for very large models
  3. Ability to do data manipulation efficiently
  4. Ability to write tailored algorithms if the model is not amenable to standard solution methods (see e.g.
  5. Ability to debug large models and view large data sets

Some of these points are more difficult to evaluate and to weigh in a comparison.

PS: see comment below for some other interesting capabilities.