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Limitation of Binary Search: -
(i) The complexity of Binary search is O (log2 n). The complexity is similar irrespective of the position of the element, even if it is not present in the array.
(ii) The algorithm supposes that one has direct access to middle element in the list on a sub list. This means that the list must be kept in some type of array. Unfortunately inserting an element in an array requires element to be moved down the list and deleting an element from an array needs element to be moved up the list.
(iii) The list must be sorted.
Each data record contains a fixed place in a relative file. Each record ought to have associated with it in integer key value which will help identify this slot. Therefore, this ke
Definition: A set of data values & related operations that are accurately specified independent of any particular implementation. As the data values and operations are described
Define File organization''s and it''s types
The best average behaviour is shown by Quick Sort
1) The set of the algorithms whose order is O (1) would run in the identical time. True/False 2) Determine the complexity of the following program into big O notation:
Maximum numbers of nodes a binary tree of depth d The maximum numbers of nodes a binary tree of depth d can have is 2 d+1 -1.
Two broad classes of collision resolution techniques are A) open addressing and B) chaining
Multilist Representation of graph
Ask question #sdgsdgsdginimum 100 words accepted#
DEPTH FIRST SEARCH (DFS) The approach adopted into depth first search is to search deeper whenever possible. This algorithm frequently searches deeper through visiting unvisite
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