A multilinear map M has its elements stored in a one-dimension array of length N, with a Shape S defined by S:[Int] = [p,q,r,...]
so that q*p*r*... = N
. The Shape is of variable size, not known at compile time.
The issue I'm trying to solve is a generic approach to accessing the map's elements using an array of integers, which individual values are coordinates in the Shape S, ex: M[1,3,2], M[2,3,3,3]
etc... This is a problem different from a simple enumeration of the map's elements.
One method is to use M[i,j,k]
and implement a subscript method. Unfortunately, this approach hardcodes the map's shape, and the algorithm is no longer generic.
Say there's a utility function that returns an element index from a tuple derived from the map's Shape, so that:
func index(_ indexes:[Int]) -> Int {....}
func elementAt(indexes:[Int]) -> Element {
return elements_of_the_map[self.index(indexes)]
}
M.elementAt(indexes:[i,j,k]) or M.elementAt(indexes:[i,j,k,l,m])
always work. So the problem at this point is to build the array [i,j,k,...]
Question: Is there an algorithm to efficiently enumerate those indexes? Nested loops won't work since the number of loops isn't known at compile time, and recursive function seem to add a lot of complexity (in particular keeping track of previous indexes).
I'm thinking about an algorithm 'a la' base-x counting, that is adding one unit to the top right index, and moving leftwards one unit if the count exceeds the number of elements by the map's Shape.