Iterator for n-dimensional problems. Allows you to use a single for loop instead of nested loops

Using an iterator, you can flatten complex arbitrarily nested loops to a simple single loop.

Ever have a simulation problem where the parameters being tested frequently change, but the computation stays the same? This iterator flattens complex and crazy-making nested loops into a single loop that iterates over all combinations of parameters.
As a result, it's very easy to change the iteration parameters without rewriting loops, reindenting code, updating indices, etc.
Sample nested loop code like this:

avalues = [1 2]; bvalues = [10 20]; cvalues = [100 200 300];
for ai = 1:length(avalues)
for bi = 1:length(bvalues)
for ci = 1:length(cvalues)
scoretable(ai,bi,ci) = avalues(ai) + bvalues(bi) + cvalues(ci);
end
end
end

Can be flattened into code like this, and any parameter can be added or removed by changing only paramvariables and paramvalues:

paramvariables = {'A' 'B' 'C'};
paramvalues = { {1 2} {10 20} {100 200 300}};
piter = paramiterator(paramvariables,paramvalues);
for i = 1:length(piter)
setvalues(piter,i);
scorelist(i) = A + B + C;
end
scoretable = listtotable(piter,scorelist);

Results can be easily displayed with displaytable (http://www.mathworks.com/matlabcentral/fileexchange/27920-displaytable).

Using the valuechanged setting, you can test whether a parameter has changed since the last iteration, before running some computation. This is like nesting the computation within only some of the loops, making paramiterator a full replacement for nested loops.

Now also supports iterating over multiple paired parameters simultaneously, for additional convenience and compatibility.