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Functional Programming Constructs

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Functional Programming Constructs


Tucker McClure (view profile)


08 Jan 2013 (Updated )

A set of files for treating many operations, like "if", "for", and even "()", as functions.

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This file was selected as MATLAB Central Pick of the Week

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This set of files enables working more easily with functions of functions for concise and powerful code.
A few highlights of this way of working:

* Map multiple inputs to multiple functions and assign multiple outputs with a single line.

* Use conditionals (like "if"), loops, and recursion in anonymous functions.

A document with derivations and examples of these functions is included. See the readme.txt. Also, each function contains a 'help' entry with examples.

This submission requires strong familiarity with function handles and anonymous functions. If those aren't familiar terms, check the documentation first!

Required Products MATLAB
MATLAB release MATLAB 8.0 (R2012b)
Other requirements Strong familiarity with function handles and anonymous functions
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Comments and Ratings (16)
21 Jun 2016 Tucker McClure

Tucker McClure (view profile)

Hi David and Joerg,

Thanks for the feedback. Those are good suggestions. Next time I update the code base, those will be in there.

- Tucker

Comment only
05 May 2016 David Szwer

Superb functions, that should really be part of main Matlab.

I'd suggest updating the documentation of "paren" with the following tip. The colon operator can be specified with or without quotes
(e.g. paren(magic(3), 2, :) and paren(magic(3), 2, ':')
are identical). However, if you use quotes you can also use ':' for linear indexing
(e.g. paren(magic(3), ':') )
but this does not work without quotes.

I would love to know what Matlab thinks the unquoted colon actually is, and why it sometimes doesn't work.

02 Mar 2015 Joerg

Joerg (view profile)

Hi Tucker,

many thanks for the code. The "output" function is more flexibel if an optional argument is allowed:

function varargout = output(f, out_indices, varargin)

[outs{1:max(out_indices)}] = f(varargin{:});

varargout = outs(out_indices);

07 Nov 2013 Felipe G. Nievinski

I guess instead of a separate iiff.m function this could be a patch for the original iif.m (backwards compatible):

isodd = @(x) logical(mod(x,2));
if isodd(numel(varargin))
varargin(end:end+1) = [{true}, varargin(end)];

Comment only
07 Nov 2013 Felipe G. Nievinski

% inline if-else (special case of general inline if-elseif):
% (dispense with typing true as the penultimate input argument)
function varargout = iiff(varargin)
varargin(end:end+1) = [{true}, varargin(end)];
[varargout{1:nargout}] = iif(varargin{:});

Comment only
02 Sep 2013 Felipe

Felipe (view profile)

output.m could reuse wrap.m, it seems:
function varargout = output(f, out_indices)
varargout = wrap(f, out_indices);

Comment only
11 Aug 2013 Felipe

Felipe (view profile)

Thanks for taking the time to comment, Tucker.

Comment only
09 Aug 2013 Tucker McClure

Tucker McClure (view profile)

Hi Felipe,

You bring up a great point. There's no way to tweak |curly| so that it will expand all of the contents of a cell array as arguments into a function (or at least I haven't figured out a good way), because this is handled higher up by MATLAB, which is only looking for the form |f(x{:})|. Since |f(curly(x, ':'))| doesn't fit this form, it just won't work (the call to |curly(x, ':')| will only return the first output when passed directly into a function.

*However*, there are still ways to do the desired thing, such as your use of the |use| command; they just don't involve using |curly|. For instance, if |f| returns a cell array, and we want to call |f|, expanding all items from its cell array output into a new function, |g|, like this:

>> g(f(){:}) % <- generates a syntax error

we can do this instead:

>> use(f(), @(x) g(x{:}));

This says, "Run f() and pass its output to the next argument, which is a function handle. That function can now use that output (which we've called |x| here) however we want." Because |use| allows one to run a command and "use" its output multiple times without saving it to a variable, it's quickly useful in complex anonymous functions.

If this is a common pattern, you can also define:

>> expand_into_fcn = @(f, x) f(x{:});

And now we can use this expansion function to emulate what MATLAB does natively. E.g., to expand all elements in a cell array returned by |f| into the |cat| function, it's really quite compact:

>> expand_into_fcn(@cat, f())

This is exactly the same as:

>> x = f();
>> cat(x{:})

Let's go a step further. Let's take multiple outputs from a function and pass those into a new function. We'll need |wrap| here. We'll take both outputs from |min([5 2 3])|, |wrap| them into a cell array, and expand that array into the |cat| function to concatenate them along dimension 1.

>> use(wrap(@() min([5 2 3]), 1:2), @(x) cat(1, x{:}))
ans =

Hope this helps!

Comment only
09 Aug 2013 Felipe

Felipe (view profile)

I'm wondering if it's possible to harmonize the behavior of the curly.m function with that of the built-in {} in this case:
x = {'a' 'b'}, {x{:}}, {curly(x,':')}
x =
'a' 'b'
ans =
'a' 'b'
ans =
I don't think it's a problem with curly.m, as these anonymous functions also exhibit the same discord:
curlycolon = @(x) x{:}; {curlycolon(x)}
ans =
curlycolon = @(x) subsref(x, substruct('{}',{':'})); {curlycolon(x)}
ans =
I seems to be a specificity of the colon operator; from doc colon: "The colon notation can be used with a cell array to produce a comma-separated list. ... The comma-separated list syntax is valid inside () for function calls, [] for concatenation and function return arguments, and inside {} to produce a cell array."

I came across this problem trying to define this function:
subvec2ind = @(siz, subvecnum) use(num2cell(subvecnum), @(subveccell) sub2ind(siz, subveccell{:}));
subvec2ind([5 5 5], [1 2 3])
sub2ind([5 5 5], 1, 2, 3)

Comment only
07 Apr 2013 na ren

na ren (view profile)

it's helpful!

13 Mar 2013 Tucker McClure

Tucker McClure (view profile)

Hey, thanks for all the good feedback everyone. I appreciate your taking the time to leave a rating!

Comment only
13 Mar 2013 Felipe G. Nievinski

06 Mar 2013 YONGSUNG


13 Feb 2013 Eric Sampson

Great work Tucker! :)

31 Jan 2013 Ian

Ian (view profile)

This is an excellent introduction to functional programming in Matlab, thanks Tucker!!!

10 Jan 2013 Matthew

04 Feb 2013 1.1

Fixed iif to accept function handles for conditions.

23 Jul 2013 1.2

The 'wrap' function returned all output arguments up to the highest selected. It now "wraps up" only the specifically requested arguments. (Thanks Harald.)

01 Sep 2016

Updated license

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