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Jul 21, 2016 at 8:45 history edited J. M.'s missing motivation CC BY-SA 3.0
added 19 characters in body
Nov 16, 2015 at 9:28 vote accept Kass
Nov 15, 2015 at 13:56 comment added Silvia In case you want to minimize the relative error, there is a built-in function for this: MiniMaxApproximation.
Nov 13, 2015 at 21:56 comment added Kass Thanks to Anton for spotting the mistake! However the comment of MarcoB remains valid too -- I was also getting the warnings of "failure to converge to a solution" (independently of plotting mistake, of course).
Nov 13, 2015 at 19:23 comment added user484 Belisarius is correct, the optimal quadratic fit is the constant zero function, whose infinity-norm distance from $v(x)$ is 1. For a function $f(x)$ to have distance less than that, it would have to be negative at $x=0$, positive at $x=1/2$, negative at $x=\sqrt3/2$, and positive at $x=1$ (because those are the extrema of $v(x)$ on $[0,1]$: i.sstatic.net/zLP5g.png). This is impossible if $f(x)$ is quadratic.
Nov 13, 2015 at 19:02 answer added george2079 timeline score: 4
Nov 13, 2015 at 18:10 answer added Anton Antonov timeline score: 1
Nov 13, 2015 at 17:59 comment added Anton Antonov There is a mistake in the plotting command. It should be f[y,a,b,c] not f[a,b,c,y].
Nov 13, 2015 at 15:37 history edited MarcoB CC BY-SA 3.0
small cleanup; edited tags
Nov 13, 2015 at 15:25 answer added Dr. belisarius timeline score: 9
Nov 13, 2015 at 15:13 comment added MarcoB I tried running your code and I get a lot of warnings because NMinimize failed to converge to a solution. Do you not get the same?
Nov 13, 2015 at 14:34 history asked Kass CC BY-SA 3.0