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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.
Almost Complete Binary Tree :-A binary tree of depth d is an almost whole binary tree if: 1.Any node and at level less than d-1 has two children. 2. for any node and in the tree wi
What do you mean by complexity of an algorithm? The complexity of an algorithm M is the function f(n) which gives the running time and/or storage space need of the algorithm i
Instructions : You have to design a doubly linked list container. The necessary classes and their declarations are given below The main() function for testing the yo
B-trees are special m-ary balanced trees utilized in databases since their structure allows records to be added, deleted & retrieved with guaranteed worst case performance. A B-
define abstract type
Program segment for deletion of any element from the queue delete() { int delvalue = 0; if (front == NULL) printf("Queue Empty"); { delvalue = front->value;
Best - Fit Method: - This method obtains the smallest free block whose size is greater than or equal to get such a block by traversing the whole free list follows.
Explain the term - Branching There are two common ways of branching: case of ..... otherwise ...... endcase if ..... then ..... else ..... endif case of
What are the properties of an algorithsm?
Example which cause problems for some hidden-surface algorithms Some special cases, which cause problems for some hidden-surface algorithms, are penetrating faces and cyclic ov
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