How to write binary search algorithm?, Data Structure & Algorithms

Assignment Help:

Q. Write down the binary search algorithm and trace to search element 91 in following given list:

13          30          62           73         81         88             91

What are the major limitations of Binary Search?                                               

Ans.

13   30   62   73   88   91

lets us store the numbers in an array

2064_stack.png


To start with we take low = 0 and high = 5 hence mid = (low+high)/2 = (0+5) /2 = 2

since a[mid] = a[2] = 62 ≠ 91 and low < high we go to next iteration as 62 < 91

∴we take low = mid+1 = 3 and high =

now we find mid =( 3+5)/2 = 4

∴a [mid] = a[4] = 88.

88 is not equal to 91

again 88< 91

∴ we take low = mid +1 = 4 + 1 = 5 and high = 5

∴mid = (5+5)/2 = 5

∴ a[mid] = a[5] = 91 which is the search element.

Limitation of Binary Search is given below: -

(i) The complexity of Binary search is O(log2 n)  the complexity is same irrespective of the  location of the element, even if it is not there in the array.

(ii) The algorithm makes an assumption that one has direct access to middle element in the list on a sub list. This means that the list must be stored 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 requires element to be moved up the list.

(iii) The list must be sorted.


Related Discussions:- How to write binary search algorithm?

State about the pre- and post conditions, State about the pre- and post con...

State about the pre- and post conditions Programmers can easily document other pre- and post conditions and class invariants, though, and insert code to check most value preco

What are the languages which support assertions, What are the languages whi...

What are the languages which support assertions Languages which support assertions often provide different levels of support. For instance, Java has an assert statement which t

The complexity ladder, The complexity Ladder: T(n) = O(1). It is ca...

The complexity Ladder: T(n) = O(1). It is called constant growth. T(n) does not raise at all as a function of n, it is a constant. For illustration, array access has this c

Analysis of algorithms, A common person's faith is that a computer can do a...

A common person's faith is that a computer can do anything. It is far from truth. In realism computer can carry out only definite predefined instructions. The formal illustration o

Explain the concept of hidden lines and surface removal, Explain the concep...

Explain the concept of hidden lines The problem of hidden lines or surfaces was implicit even in 2-D graphics, but we did not mention it there, because what was intended to be

The number of different directed trees with 3 nodes, The number of differen...

The number of different directed trees with 3 nodes are ?? The number of disimilar directed trees with three nodes are 3

Pre-order and post order traversal of a binary tree, The pre-order and post...

The pre-order and post order traversal of a Binary Tree generates the same output. The tree can have maximum One node

Merge sort, #question. merging 4 sorted files containing 50,10,25,15 record...

#question. merging 4 sorted files containing 50,10,25,15 records will take time?

Complexity of quick sort, Q. What do you mean by the best case complexity o...

Q. What do you mean by the best case complexity of quick sort and outline why it is so. How would its worst case behaviour arise?

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd