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And they are often the ones who get all the credit for the successful completion of a project.

Unfortunately, a lot of software packages are set up that way, with the documentation often being marginally helpful at best.

There is no logic involved into choosing the

Let me offer another suggestion. Since the software appears to offer a variety of options, it might help if you sat down with a book on numerical methods, concentrating on those that are being used. There are lots of breastles available on the subject, so you shouldn't have much problem finding one.

It should be kept in mind that it's highly unlikely that a specific numerical method will be suitable for every problem one looks at. Perhaps the most difficult aspect is in setting up the model, particularly if you have to write additional code for it. The software in that case would be more like a general analytical engine. One might have to revise that customized code in order to get the software to execute.

In addition, there are some aspects you should consider before choosing a numerical method, such as:

- its sensitivity to small variations in the parameters used, the stability of the actual software itself using the given input data,

- ability of the method to converge (given the system being modelled and data used), and

- overall end time.

In addition, the precision of the parameter values might affect the end time, as well as the required accuracy of the output. Using less precise values may produce results faster and might not greatly affect the final results.

A lot of times, there's no easy answer and it's a matter of trial and error until one gets something that works and results that are within acceptable accuracy.