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| The `=` sign in `Definition[f]` doesn't mean much: it's just cosmetic. You should look at the `DownValues` of `f`. As you can see, all `DownValues` are delayed rules: In[13]:= DownValues[f] Out[13]= {HoldPattern[f[-1, 0, 0]] :> 81, ... |
| Training on a dataset like that is going to require some thinking, but you should start by reading the tutorial about this subject in the documentation: http://reference.wolfram.com/language/tutorial/NeuralNetworksLargeDatasets.html Basically,... |
| If you plot the data on a log scale, you'll notice that you don't get a straight line: ListLogPlot[data] ![enter image description here][1] This is a clear indication that a simple decaying exponential is not going to give a good fit to... |
| I recently finished a major overhaul of my Bayesian inference package on Github: https://github.com/ssmit1986/BayesianInference and wanted to give a small overview of what it can do. If you're interested, the repository has a notebook with... |
| Good suggestion about `Tuples`. I added a `lazyTuples` function on my development branch, though it's probably not in its final form yet. I based the methodology of off the SE answer below. It's well worth a read if you ever want to work with... |
| Ok, here's one attempt. This function looks for patterns (with specified minimum an maximum length) repeated a minimum/maximum number of times: findRepeatedPatterns[ string_String, minMaxSequenceLength_List, ... |
| I don't think `NDSolve` has capabilities to use variable boundary limits like that. The only method to try I can think off right now, is to re-scale the time axis to fit this equation. So in your ODEs you introduce `tnew = t/tf` so that `0 |
| Hi S G. I appreciate your problem, but unfortunately I don't have that much time to spare and your code is simply quite difficult to read. The only way I could really assess the problem is by taking it apart completely and rewriting it, which is a... |
| In my opinion, if you want to test if two quantities are related by a power law, the best way is to do a log-log plot since this will immediately show you a straight line if you're right. Humans are very good at recognizing straight lines by eye.... |
| Ok, I didn't expect that to work. I tried some other distributions myself and didn't find any other ones that worked even when while attempting some really elementary ones (like a 2D normal distribution). It's good to know polynomials work, but the... |