Christian Ivicevic
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 Oct31 asked Proof for convergence of a given progression $a_n := n^n / n!$ Oct9 accepted Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT Oct9 accepted Function as parameter in Wolfram Mathematica Oct8 comment Function as parameter in Wolfram Mathematica Is there any way, like in programming languages, to define an "anonymous function" (a.k.a. lambda-expression) the way i tried? Oct8 comment Function as parameter in Wolfram Mathematica It does not work like expected! E.g. $E(f)(x)$ is now called TranslateEx. TranslateEx[fn_] := Apply[fn, {x + 1}] and then TranslateEx[x] leads to the result x[1 + x]. What does this mean? I expected x + 1 as the result. EDIT It seems i cannot enter a function directly and i need to specify it explicitly... Oct8 asked Function as parameter in Wolfram Mathematica Oct2 comment Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT @cardinal: My ranges are sometimes different. It might happen, that i want to pick a number out of [1;20] and sometimes out of [1;100]. Which technique is used to compute the most convenient standard deviation because there are many numbers left out if i use a wide interval and $a=\sigma=1$. Oct2 comment Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT @cardinal: I tried Box-Muller, however i was not able to shift the median like with Marsaglia! And if i think about the scenario: in the time i compute 1.000 uniform numbers i will need... 10 normal ones and i am confident, that i will be have with this :) Oct2 comment Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT @Gortaur: I have a solution - please have a look at my question which is edited now. Oct2 comment Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT @cardinal: Found the solution - look at my original question ;) Oct2 revised Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT found solution! Oct2 comment Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT @cardinal: I need this only 10 times at the beginning of the game and maybe in really special circumstances and therefore efficiency is not that important. ;) Oct2 comment Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT I must confess, that adding a scalar $a$ was my first idea, however my algorithm seems buggy and it doesn't work like expected. Furthermore, debugging my code revealed that i am getting sometimes numbers $\leq 0$ which is weird. Any suggestions what i can do? Oct2 revised Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT introduced algorithm Oct2 revised Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT added 32 characters in body Oct2 asked Transform uniform distribution to normal distribution using Lindeberg–Lévy CLT Sep17 comment Inductive proof for the Binomial Theorem for rising factorials Interesting way of prooving this, however i have to do this via induction. Still thanks for sharing the idea. Sep16 accepted Inductive proof for the Binomial Theorem for rising factorials Sep16 asked Inductive proof for the Binomial Theorem for rising factorials Aug18 accepted How to transform/expand a simple sum to prove equality of two sets?