I need to construct an undirected graph. I don't need it to do anything too fancy, but ideally it would work like this:
structure UDG = UndirectedGraph
val g = UDG.empty
val g = UDG.addEdges(g, n1, [n2, n4, n7]) (* n1 is connected to n2, n4, and n7 *)
val g = UDG.addEdge(g, n2, n3)
UDG.connected(g, n2) (* returns [n1, n3] *)
Is there a good data structure in SML/NJ to model these relationships? Should I just roll my own?
I've gone ahead and tried rolling my own, but I get a type mismatch error when I try to test it. My experience with SML structures and functors is pretty basic, so I think I'm doing something obviously wrong. How do I get this to work? Also, can you help me make this an 'a graph
? That seems to make more sense, semantically.
signature ORD_NODE =
sig
type node
val compare : node * node -> order
val format : node -> string
end
signature GRAPH =
sig
structure Node : ORD_NODE
type graph
val empty : graph
(* val addEdge : graph * Node.node * Node.node -> graph
* addEdge (g, x, y) => g with an edge added from x to y. *)
val addEdge : graph * Node.node * Node.node -> graph
val format : graph -> string
end
functor UndirectedGraphFn (Node : ORD_NODE) :> GRAPH =
struct
structure Node = Node
structure Key = struct
type ord_key = Node.node
val compare = Node.compare
end
structure Map = BinaryMapFn(Key)
type graph = Node.node list Map.map (* Adjacency list *)
val empty = Map.empty
fun addEdge (g, x, y) = (* snip *)
fun format g = (* snip *)
end
structure UDG = UndirectedGraphFn(struct
type node = int
val compare = Int.compare
val format = Int.toString
end)
When I do
structure UDG = UndirectedGraphFn(struct type node = int val compare = Int.compare val format = Int.toString end) UDG.addEdge (UDG.empty,1,2)
I get a type mismatch:
Error: operator and operand don't agree [literal] operator domain: UDG.graph * ?.UDG.node * ?.UDG.node operand: UDG.graph * int * int in expression: UDG.addEdge (UDG.empty,1,2)
There are several possibilities with differing pros and cons suited to different operations on the graphs. This nice intro gives background and examples of using Adjacency Lists and Adjacency Matrices.
Using them in an undirected fashion involves trade offs (space verses speed). this course material goes into more detail on the adjacency list style and provides some thoughts on the possible alterations for use in undirected usage.