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Re:One parameter is always enough [pdf] by madez on Saturday May 26, 2018 @12:04PM (#17162741)
One can easily embed R into R^N with a dense image, so it's straightforward to see that one parameter is always enough. In the case of computable reals (which contain everything we deal with when doing things numerically), the embedding is even bijective. This completely misses the point, though, because the "natural" number of parameters is important in understanding reality.
Re:One parameter is always enough [pdf] by laretluval on Saturday May 26, 2018 @08:48PM (#17164932)
How do you determine the natural number of parameters?
Re:One parameter is always enough [pdf] by madez on Sunday May 27, 2018 @04:40AM (#17166084)
That is generally an unsolved problem, and highly specific to the situation. Even the interpretation of the question depends on the context. To read more about it, I would look under the term "System Identification" and "Mathematical Modelling", but I might have different contexts in mind that you.