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