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Complexity classes
All decision problems fall in sets of comparable complexity, called as complexity classes.
The complexity class P is the set of decision problems which can be solved through a deterministic machine within polynomial time. This class corresponds to set of difficulty that can be solved effectively in the worst cases. We will consider algorithms associating to this class for analysis of time complexity. Not all of the algorithms in these classes make practical sense as several of them have higher complexity..
The complexity class NP is a set of decision problems which can be solved by a non- deterministic machine within polynomial time. This class contains several problems as Hamiltonian path problem, Boolean satisfiability problem, and the Vertex cover problem.
Readjusting for tree modification calls for rotations in the binary search tree. Single rotations are possible in the left or right direction for moving a node to the root position
Q. Give the adjacency matrix for the graph drawn below: Ans: Adjacency matrix for the graph given to us
What is Space complexity of an algorithm? Explain.
Like general tree, binary trees are implemented through linked lists. A typical node in a Binary tree has a structure as follows struct NODE { struct NODE *leftchild; i
Write the algorithm for compound interest
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differences between direct and indirect recursion
Post-order Traversal This can be done both iteratively and recursively. The iterative solution would need a change of the in-order traversal algorithm.
QUESTION (a) Construct a binary tree for the following numbers assuming that a number greater than the node (starting from the root) goes to the left else it goes to the right.
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