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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.
how we can convert a graph into tree
ALGORITHM (Insertion of element into a linked list) Step 1 Begin the program Step 2 if the list is empty or any new element comes before the start (head) element, then add t
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What do you mean by complexity of an algorithm? The complexity of an algorithm M is the function f(n) which gives the running time and/or storage space need of the algorithm i
To delete an element in the list at the end, we can delete it without any difficult. But, assume if we desire to delete the element at the straining or middle of the list, then, we
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Consider the following 5-city traveling salesman problem. The distance between each city (in miles) is shown in the following table: (a) Formulate an IP whose solution will
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algorithms
Midsquare Method :- this operates in 2 steps. In the first step the square of the key value K is taken. In the 2nd step, the hash value is obtained by deleting digits from ends of
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