Scan and Set over multi-dimensional data

Suppose I have the following:

Table[x[i,j] = f[i,j], {i,1,10},{j,1,10}]; 

I want to set variables x[i,j] to have value f[i,j] where f can be anything. The Table (and you could also achieve this with a Map and I'm sure many other ways) produces an undesirable list which will be discarded. This is a waste of memory, especially if f produces some large object, and the copies will have to be garbage collected even though I've suppressed the output.

To avoid this behaviour for lists I would normally do a Scan like this example in the documentation:

test = Scan[(u[#] = x) &, {55, 11, 77, 88}] 

It sets u[55], u[11], u[77], u[88] without creating any intermediate lists and test is Null.

Compare this with a Map where test is populated with the values on the RHS of the Set. Also note this test return value is for illustrating the idea only and I expect to discard it:

test = Map[Set[u[#],x] &, {55, 11, 77, 88}]; 

Question:

1. How can I use Scan over a multidimensional list such as Tuples[Range[10],2] to achieve the same effect as the Table example at the top of this question? I am not interested in using a For loop and I am only interested in achieving this with Scan if that's possible.

2. Are my fears about the discarded return values wasting memory and adding to garbage collection time justified if the object on the RHS of the Set is very large? Can Mathematica tell when a Table or Map is about to discard the list they build up and avoid creating one? I suspect not e.g try MaxMemoryUsed[Table[x, 300000];]

Update:

Scan appears to be consistently worse for memory usage, much to my surprise. Why? Surely it can't be because of the Range that must be constructed first, because MaxMemoryUsed[Range[10000]] is only 80376 bytes.

f[i_] := RandomReal[i, {64, 64}]; MaxMemoryUsed[Scan[(x[#] = f[#]) &, Range[10000]]] ClearSystemCache[]; MaxMemoryUsed[Table[y[i] = f[i], {i, 10000}]] ClearSystemCache[]; MaxMemoryUsed[Do[z[i] = f[i], {i, 10000}]] ClearSystemCache[];