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Searching is the procedure of looking for something. Searching a list containing 100000 elements is not the similar as searching a list containing 10 elements. We discussed two searching techniques that are Binary Search and Linear Search. Linear Search will search for the key value in the given list directly. Binary search will search for the key value in the given sorted list directly. Thus, the major difference is the way the given list is presented. Binary search is efficient in most of the cases. Though, it had the overhead that the list must be sorted before search can begin, it is very well compensated through the time (which is very less while compared to linear search) it takes to search. There are a great number of applications of Searching out of whom a few were discussed in this unit.
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 ca
An interesting application or implementation of trees is the playing of games such as tie-tac-toe, chess, nim, kalam, chess, go etc. We can depict the sequence of possible moves
How many recursive calls are called by the naïve recursive algorithm for binomial coefficients, C(10, 5) and C(21, 12) C(n,k){c(n-1,k)+c(n-1,k-1) if 1 1 if k = n or k = 0
Write an algorithm for binary search. Algorithm for Binary Search 1. if (low> high) 2. return (-1) 3. Mid = (low + high)/2 4. if ( X = = a[mid]) 5. return (mid); 6.
design algorithm and flow chart that computes the absolute difference of two values x and y
A binary tree of depth "d" is an almost complete binary tree if A) Every leaf in the tree is either at level "d" or at level "d-1" B) For any node "n" in the tree with a
A Red-Black Tree (RBT) is a type of Binary Search tree with one extra bit of storage per node, i.e. its color that can either be red or black. Now the nodes can have any of the col
Q. Prove the hypothesis that "A tree having 'm' nodes has exactly (m-1) branches". Ans: A tree having m number of nodes has exactly (m-1) branches Proof: A root
write an algorithm to delete an element x from binary search with time complex
One of the main problems with the linear queue is the lack of appropriate utilization of space. Assume that the queue can store 100 elements & the complete queue is full. Thus, it
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