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Tree is a widely used data structure employed for representing several problems. We studied tree like a special case of acyclic graph. Though, rooted trees are most prominent of all trees. We discussed definition & properties of general trees along their applications. Several tree traversal methods are also discussed.
Binary tree are the special case that have at most two children. Binary trees are mostly implemented via link lists. Several tree traversal mechanisms comprise inorder, preorder & post order. These tree traversals can be implemented via recursive process and non-recursive process. Binary trees have extensive applications within two way decision making problems that employ true/false, yes/no, etc.
Post order traversal: The children of node are visited before the node itself; the root is visited last. Each node is visited after its descendents are visited. Algorithm fo
How sparse matrix stored in the memory of a computer?
A linked list can be of the following types:- Linear linked list or one way list Doubly linked list or two way list. Circular linked list Header linked list
We might sometimes seek a tradeoff among space & time complexity. For instance, we may have to select a data structure which requires a lot of storage to reduce the computation tim
Algorithm for insertion of any element into the circular queue: Step-1: If "rear" of the queue is pointing at the last position then go to step-2 or else Step-3 Step-2: make
solve the following relation by recursive method: T(n)=2T(n^1/2)+log n
Question 1 What do you mean by Amortization? Question 2 Explain the following Big Oh notation (O) Omega notation (Ω) Theta notation (Θ) Question 3 Di
tree is graph or not
Define about the inheritance hierarchy Languages Eiffel and D provide constructs in language for invariants and pre- and post conditions which are compiled into the code and ar
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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