Yes, they're meant for exact symbolic manipulations. But for pictures, you can use N[] on them before feeding to Graphics[] (I find things are slightly faster if the coordinates are not exact numbers, at least on my system).
@J.M. If it's just another introduction to Wolfram Language then it's not so interesting, but WRI already published one of those this year; will they really publish another already? Rather I am hoping that he will explain his vision for the language, who will use it in the future and for what, etc.
@Pickett If you are still around, maybe you like to give me a readers digest on google analytics and what are the important steps to set it up. I thought I have it for the plugin page, but that was really the google webmaster tools. Very confusing for someone not working with web-tech every day.
At least I could verify which pages link to my pages with it.
@halirutan I'm still here. Basically all you have to do is find the right form (start here) and copy a piece of JavaScript code into your website HTML code.
@halirutan Well, for the webmaster tool you just copy some ID to your webpage so that Google can verify that you own the website. Google Analytics is different because it loads JavaScript into your page that does advanced tracking and reports back to Google's servers in real time.
@halirutan Yes, there should definitely be plugin that will ask you for your Google Analytics ID and then injects the required JavaScript code automatically. I've written such code for WordPress themes several times.
@halirutan They will be tracked separately, technically they are not the same page (unless you mean that both redirect somewhere, then wherever they land is what matters.)
Suppose I have a function like
Options[f] = {foo -> 1};
f[opt : OptionsPattern[{f,g}]] := h@g[Sequence @@ FilterRules[{opt}, Options[g]]]
I purposefully do not want to append Options[g] to Options[f] because I want the defaults to be inherited from g instead of setting them separately for f.
...
@halirutan a sanity check would be appreciated in my following answer. Is it true that even when the data is already distributed, parallellization does speed things up?
Short answer
It is not a good idea to make a parallel version of MemberQ. This is mainly because membership testing is generally faster than copying data and copying the data is necessary in Mathematica to allow other kernels to work with the data properly.
About the rest of this answer
This ...
@JimBaldwin Since you told me about the Welch t-test being performed by `TTest[]` with the appropriate options, maybe you'd like to contribute with an answer to this? http://stats.stackexchange.com/questions/176785/comparison-of-medians-in-samples-with-unequal-variance-size-and-shape/
@halirutan Nevermind, I see that the data is not already distributed (of course). Still your feedback would be very welcome as I make some claims about parallelization which I am not completely sure of.
"Equation or list of equations expected instead of True in the first \ argument \!\({\*SuperscriptBox[\"x\", \"\[Prime]\", MultilineFunction->None][t] == \((\(-2\) + x[t])\) ** 2, True}\). "
@Sosi. I have added a comment to that question. A more specific answer would require knowing what software you can use, the nature of how you obtained the data (subsamples within random locations, any blocking or randomization restrictions, etc.), and what data values were actually obtained. So the question is just too big for me to give an answer. I can only poke at it with comments.
@Jacobadtr Most likely at some point you executed something like x'[t] = (x[t] - 2)^2, with = instead of ==. This sets a value for Derivative[1][x][t] that is equal to the RHS. When you changed to ==, the DE evaluated to True. You need to restart the kernel, ClearAll[Derivative], or unset the value with x'[t] =..
I entered a command incorrectly as follows:
DSolve[{y'[x]=y[x]},y[x],x]
I am now experiencing:
DSolve[{y'[x] == y[x]}, y[x], x]
During evaluation of In[26]:= DSolve::deqn: Equation or list of equations expected instead of True in the first argument {True}. >>
(* DSolve[{True},y...
Oddball method of approximating maximized minimum of pairwise distances between N points (arbitrary distance measure): Construct a fully connected graph of large amount of samples, find random fully connected subgraph of N vertices, remove all edges smaller or equal to minimum of distances on subgraph. Repeat until no such subgraph can be found; last one found is the optimal solution on those samples.
I'm pretty confident this could be implemented quite efficiently using bit-vector representations and such. Proof of concept work on Mma is easier, though.
Related question here: How do I scale SmoothHistogram to Histogram using "Count" instead of the other way around (using "PDF")? I can't find an analog for the third argument hspec"Count" in SmoothHistogram.
@xslittlegrass Thanks. Sent to my dad. He's had a copy of Mathematica for almost a year now, and he's been telling me he's going to learn it for two years. He says he definitely wants to learn it before he retires, which is next summer.
Last week I started getting more interested in the NC =? P problem. Does showing that the results of Simplify on increasing depths of rule 110 logic circuits count as evidence that NC < P?
"Today the Wolfram Language has emerged as something else: a new kind of general computer language, which redefines what’s practical to do with computers."
"there’ve been two millennia of development in the teaching of mathematics, that have progressively optimized the sequence of presenting arithmetic, algebra and so on. The problem of teaching the Wolfram Language is something completely new, where everything has to be figured out from scratch. Existing programming education isn’t much help, because so much of it is about just the kinds of lower-lower structure that have been automated away in the Wolfram Language."
He needed to invent a new kind of programming education in order to write this book.
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