Quick sort, Data Structure & Algorithms

Assignment Help:

This is the most extensively used internal sorting algorithm. In its fundamental form, it was invented by C.A.R. Hoare in the year of 1960. Its popularity lies in the easiness of implementation, moderate use of resources & acceptable behavior for a variety of sorting cases. The fundamental of quick sort is the divide & conquer strategy that means Divide the problem [list to be sorted] into sub-problems [sub-lists], till solved sub problems [sorted sub-lists] are found. It is implemented as follows:

Select one item A[I] from the list A[ ].

Rearrange the list so that this item come to the appropriate position, that means all preceding items have a lesser value and all succeeding items contain a greater value than this item.

1.      Place A[0], A[1] .. A[I-1] in sublist 1

2.      A[I]

3.      Place A[I + 1], A[I + 2] ... A[N] in sublist 2

Repeat steps 1 and step 2 for sublist1 and sublist2 until A[ ] is a sorted list. As can be seen, this algorithm contains a recursive structure.

The divide' procedure is of utmost importance in this algorithm. Usually this is implemented as follows:

1.      Select A[I] as the dividing element.

2.         From the left end of the list (A[O] onwards) scan until an item A[R] is found whose value is greater than A[I].

3.         From the right end of list [A[N] backwards] scan until an item A[L] is found whose value is less than A[1].

4.      Swap A[R] & A[L].

5.      Continue steps 2, 3 & 4 till the scan pointers cross. End at this stage.

6.      At this point, sublist1 and sublist2 are ready.

7.      Now do the same for each of sublist1 & sublist2.


Related Discussions:- Quick sort

Dgsd, Ask question #sdgsdgsdginimum 100 words accepted#

Ask question #sdgsdgsdginimum 100 words accepted#

Algorithms, characteristics of a good algorithm

characteristics of a good algorithm

How many nodes in a tree have no ancestor, How many nodes in a tree have no...

How many nodes in a tree have no ancestors 1 node in atree have no ancestors.

Linear array - numerical, Q. A linear array A is given with lower bound as ...

Q. A linear array A is given with lower bound as 1. If address of A[25] is 375 and A[30] is 390, then find address of A[16].

Explain optimal binary search trees, Explain Optimal Binary Search Trees ...

Explain Optimal Binary Search Trees One of the principal application of Binary Search Tree is to execute the operation of searching. If probabilities of searching for elements

Queues, Queue is a linear data structure utilized in several applications o...

Queue is a linear data structure utilized in several applications of computer science. Such as people stand in a queue to get a specific service, several processes will wait in a q

Branch and Bound method, give some examples of least cost branch and bound ...

give some examples of least cost branch and bound method..

State the ways to construct container taxonomy, State the ways to construct...

State the ways to construct container taxonomy There are several ways that we could construct our container taxonomy from here; one way that works well is to make a fundamental

Time complexity, The  total  of  time  needed  by  an algorithm to run to i...

The  total  of  time  needed  by  an algorithm to run to its completion is termed as time complexity. The asymptotic running time of an algorithm is given in terms of functions. Th

Explain the representations of graph, Explain the representations of graph....

Explain the representations of graph. The different ways of representing a graph is: Adjacency list representation : This representation of graph having of an array Adj of

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