User Portlet

Udo Krause
Discussions
It's still good to have A. P. Prudnikov, Yu. A. Brychkov, O. I. Marichev (who works since years with Wolfram): Integrals and Series (Moscow 1981, russian) on the book shelf, and there in § 1.2.5 no. 9, p. 31: Integrate[1/(x (x + a)), x] =...
> jD = ExperimentalJaroDistance; This function seems not to have a single point of definition: In[1]:= \$Version Out[1]= "11.3.0 for Microsoft Windows (64-bit) (March 7, 2018)" In[2]:= Needs["Experimental"] ...
Once upon the time there was [bilgicTaylor][1], linearization is selecting the multi-Indexes from the result - which are not so multi for the linear case. [1]: http://www.mathematica.ch/dmug-archive/2003/msg00498.html
Cross posted: for follow-ups see [[Dmug] knot theory package][1] in English in the german speaking Mathematica User Group (DMUG). [1]: http://www.mathematica.ch/dmug-archive/2018/msg00011.html
It would be amazing if one could actually make this analogy computable, ... at least I learned recently there exists for a while already the [Khovanov Homology][1], as a reference see [On Khovanov's categorification of the Jones polynomial][2]...
Just for clarification: As it stands In[68]:= Grid[ Join[{{"ds", "black", "white"}}, Transpose[ Join[{Range[-5, 5]}, Map[Last, Transpose[ ImageLevels /@ (Binarize /@ (Image /@ (Draw /@ ...
Run this Clear[into1, pureIntonationTree] into1[l_List] := Block[{l0 = NestWhile[(1/2) # &, #, # > 2 &] & /@ l}, Union[If[MemberQ[l0, 2], Join[{1}, l0], l0]] ] /; VectorQ[l, (# >= 1) &] pureIntonationTree[] := ...
Another canon was that one [Canon in two voices][1], computed. [1]: http://community.wolfram.com/groups/-/m/t/613164
Okay, thank you; take your version as schatzOloid1; interestingly it runs under Animate (after the animation arrows have been clicked, of course (just for the logs)) Animate[schatzOloid1[23, \[Phi], \[Omega]], {\[Phi], 0, \[Pi]},...
Here 8.49393 in the Entity[], absolute time difference 127.83453 (2 min 7), Mathematica 10.4 on this machine, Windows 10 64 Bit Prof Update 1709. If you do the same thing again (0.0114 vs. 10.7457 - Computers are obviously intended to do it again). ...