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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.
Explain an efficient way of storing a sparse matrix in memory. A matrix in which number of zero entries are much higher than the number of non zero entries is called sparse mat
The most common way to insert nodes to a general tree is to first discover the desired parent of the node you desire to insert, and then insert the node to the parent's child list.
bfs and dfs
A linear list of elements in which deletion can be done from one end (front) and insertion can take place only at the other end (rear) is called as a Queue.
A shop sells books, maps and magazines. Every item is identified by a unique 4 - digit code. All books have a code starting with a 1, all maps have a code which starts with a 2 and
explain deletion and insertion in a queue
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What is the best case complexity of quick sort In the best case complexity, the pivot is in the middle.
How branching takes place in Instruction pipeline. Explain with suitable examples
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