Re: Distinquishing #'s in nested pure functions
- To: mathgroup at smc.vnet.net
- Subject: [mg126280] Re: Distinquishing #'s in nested pure functions
- From: A Retey <awnl at gmx-topmail.de>
- Date: Sat, 28 Apr 2012 05:28:35 -0400 (EDT)
- Delivered-to: l-mathgroup@mail-archive0.wolfram.com
- References: <201204260933.FAA05752@smc.vnet.net> <jndtj1$jit$1@smc.vnet.net>
Hi, > Is there a way to distinguish the #'s in nested pure functions? > > As a simple example: > > f[x_, y_] := x - y > > Select[{1, 2, 3}, (f[#, #]& /@ {-1, -2, -3}) == {3, 4, 5}&] > > I want the 1st # to correspond with the outer& (the equal) > and the 2nd # with the inner& (the map) > The answer in this example should by {2} > (of course, the statement as written above does not do the job) > > Can Mathematica distinguish these #'s? it often does the right thing, but of course there are ambiguities which just can't be resolved. What you'd usually do is to use pure functions with named arguments, which will resolve these ambiguities. You probably should note that the notation with # and & is just a shortcut for Function. Look up the documentation of Function for more details. Here is an example: Select[{1, 2, 3}, Function[outerarg, Function[innerarg, f[outerarg, innerarg]] /@ {-1, -2, -3} == {3, 4, 5}]] That's of course somewhat more verbose, but you can of course also mix those with the shortcut notation, e.g.: Select[{1, 2, 3}, Function[outerarg, f[outerarg, #] & /@ {-1, -2, -3} == {3, 4, 5}]] hth, albert
- References:
- NonlinearModelFit and Complex Data
- From: Maria <rouelli@gmail.com>
- NonlinearModelFit and Complex Data