Re: Distinquishing #'s in nested pure functions
- To: mathgroup at smc.vnet.net
- Subject: [mg126265] Re: Distinquishing #'s in nested pure functions
- From: Sseziwa Mukasa <mukasa at gmail.com>
- Date: Sat, 28 Apr 2012 05:23:24 -0400 (EDT)
- Delivered-to: l-mathgroup@mail-archive0.wolfram.com
- References: <201204260933.FAA05752@smc.vnet.net> <201204271048.GAA20037@smc.vnet.net>
You can use an alternative form for anonymous functions: Function[{params},body] to name the parameters which will allow disambiguation eg: Select[{1,2,3},Function[{outer},f[outer,#]&/@{-1,-2,3}=={3,4,5}]] or Select[{1,2,3},Function[{outer},Function[{inner},f[outer,inner]]/@{-1,-2,3}=={3,4,5}]] On Apr 27, 2012, at 6:48 AM, Dave Snead wrote: > 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? > > Thanks in advance, > Dave Snead > >
- References:
- NonlinearModelFit and Complex Data
- From: Maria <rouelli@gmail.com>
- Distinquishing #'s in nested pure functions
- From: "Dave Snead" <dsnead6@charter.net>
- NonlinearModelFit and Complex Data