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Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in
B- Tree A B-tree of order m is an m-way true in which 1) All leaves are on the similar level 2) All internal nodes except the root have at most m-1(non-empty) childre
In the array implementation of the lists, we will use the array to hold the entries and a separate counter to keep track of the number of positions are occupied. A structure will b
In a chained hash table, each table entry is a pointer to a collection of elements. It can be any collection that supports insert, remove, and find, but is commonly a linked list.
Two broad classes of collision resolution techniques are A) open addressing and B) chaining
Q. Explain any three methods or techniques of representing polynomials using arrays. Write which method is most efficient or effective for representing the following polynomials.
What do you mean by hash clash? Hashing is not perfect. Occasionally, a collision occurs when two different keys hash into the same hash value and are assigned to the same arra
What is Space complexity of an algorithm? Explain.
Explain about greedy technique The greedy method suggests constructing a solution to an optimization problem by a sequence of steps, every expanding a partially c
A graph with n vertices will absolutely have a parallel edge or self loop if the total number of edges is greater than n-1
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