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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.
For preorder traversal, in the worst case, the stack will rise to size n/2, where n refer to number of nodes in the tree. Another method of traversing binary tree non-recursively t
solve the following relation by recursive method: T(n)=2T(n^1/2)+log n
Aa) Come up with an ERD from the following scenario, clearly stating all entities, attributes, relationships before final sketch of the ERD: [50 m
Search engines employ software robots to survey the Web & build their databases. Web documents retrieved & indexed through keywords. While you enter a query at search engine websit
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.
I need to know about data structure and algorithms. can you help me?
In the last subsection, we have implemented a stack by using an array. While a stack is implemented by using arrays, it suffers from the basic restriction of an array - i.e., its s
A striking application of DFS is determine a strongly connected component of a graph. Definition: For graph G = (V, E) , where V refer to the set of vertices and E refer to the
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Give an algorithm to find both the maximum and minimum of 380 distinct numbers that uses at most 568 comparisons.
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