Functor Traverse.Dfs

module Dfs: 
functor (G : G) -> sig .. end
Depth-first search
G : G

Classical big-step iterators

val iter : ?pre:(G.V.t -> unit) -> ?post:(G.V.t -> unit) -> Traverse.G.t -> unit
iter pre post g visits all nodes of g in depth-first search, applying pre to each visited node before its successors, and post after them. Each node is visited exactly once. Not tail-recursive.
val prefix : (G.V.t -> unit) -> Traverse.G.t -> unit
applies only a prefix function; note that this function is more efficient than iter and is tail-recursive.
val postfix : (G.V.t -> unit) -> Traverse.G.t -> unit
applies only a postfix function. Not tail-recursive.

Same thing, but for a single connected component (only prefix_component is tail-recursive)
val iter_component : ?pre:(G.V.t -> unit) ->
?post:(G.V.t -> unit) -> Traverse.G.t -> G.V.t -> unit
val prefix_component : (G.V.t -> unit) -> Traverse.G.t -> G.V.t -> unit
val postfix_component : (G.V.t -> unit) -> Traverse.G.t -> G.V.t -> unit

Step-by-step iterator

This is a variant of the iterators above where you can move on step by step. The abstract type iterator represents the current state of the iteration. The step function returns the next state. In each state, function get returns the currently visited vertex. On the final state both get and step raises exception Exit.

Note: the iterator type is persistent (i.e. is not modified by the step function) and thus can be used in backtracking algorithms.

type iterator 
(h, st, g) where h is the set of marked vertices and st the stack invariant: the first element of st is not in h i.e. to be visited
val start : Traverse.G.t -> iterator
val step : iterator -> iterator
val get : iterator -> G.V.t

Cycle detection

val has_cycle : Traverse.G.t -> bool
has_cycle g checks for a cycle in g. Linear in time and space.