In a generic tree represented by nodes having pointers to parent, siblings, and firs/last children, as in:
class Tnode {
def data
Tnode parent = null
Tnode first_child = null, last_child = null
Tnode prev_sibling = null, next_sibling = null
Tnode(data=null) {
this.data = data
}
}
Is it possible to do an iterative (non-recursive) breadth-first (level-order) traversal without using any additional helper structures such as a queue.
So basically: we can use single node references for backtracking, but not hold collections of nodes. Whether it can be done at all is the theoretical part, but the more practical issue is whether it can be done efficiently without backtracking on large segments.
Yes, you can. But it will most likely be a tradeoff and cost you more time.
Generally speaking, one approach to do it is to understand one can implement a traversal without extra memory in a tree. Using that, you can do Iterative Deepening DFS, which discovers new node in the same order BFS would have discovered them.
This requires some book-keeping, and remembering "where you just came from", and deciding what to do next based on that.
Pseudo code for your tree:
special_DFS(root, max_depth):
if (max_depth == 0):
yield root
return
current = root.first_child
prev = root
depth = 1
while (current != null):
if (depth == max_depth):
yield current and his siblings
prev = current
current = current.paret
depth = depth - 1
else if ((prev == current.parent || prev == current.previous_sibling)
&& current.first_child != null):
prev = current
current = current.first_child
depth = depth + 1
// at this point, we know prev is a child of current
else if (current.next_sibling != null):
prev = current
current = current.next_sibling
// exhausted the parent's children
else:
prev = current
current = current.parent
depth = depth - 1
And then, you can have your level order traversal with:
for (int i = 0; i < max_depth; i++):
spcial_DFS(root, i)