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Step-1: For the current node, verify whether it contain a left child. If it has, then go to step-2 or else go to step-3
Step-2: Repeat step-1 for left child
Step-3: Visit (that means printing the node in our case) the current node
Step-4: For the current node verify whether it contain a right child. If it contain, then go to step-5
Step-5: Repeat step-1 for right child
Figure: A binary tree
The preoreder & postorder traversals are similar to that of a general binary tree. The general thing we have seen in all of these tree traversals is that the traversal mechanism is recursive inherently in nature.
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null(nil) = true // nil refer for empty tree null(fork(e, T, T'))= false // e : element , T and T are two sub tree leaf(fork(e, nil, nil)) = true leaf(
Write c++ function to traverse the threaded binary tree in inorder traversal
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for i=1 to n if a[i}>7 for j=2 to n a[j]=a{j}+j for n=2 to n a[k]=a[j]+i else if a[1]>4 && a[1] for 2 to a[1] a[j]= a{j]+5 else for 2to n a[j]=a[j]+i ..
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