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

Process of in-order traversal, In-order Traversal  This process when ex...

In-order Traversal  This process when executed iteratively also needs a stack and a Boolean to prevent the implementation from traversing any portion of a tree twice. The gener

Determine relevancy and relative position of two polygons, Comparison Techn...

Comparison Techniques There are several techniques for determining the relevancy and relative position of two polygons. Not all tests may be used with all hidden-surface algori

Hash table, Programming for hash table?

Programming for hash table?

How to measure the algorithm efficiency, How to measure the algorithm's eff...

How to measure the algorithm's efficiency? It is logical to examine the algorithm's efficiency as a function of some parameter n showing the algorithm's input size. Instance

Explain the stack, QUESTION Explain the following data structures: ...

QUESTION Explain the following data structures: (a) List (b) Stack (c) Queues Note : your explanation should consist of the definition, operations and examples.

Array, how to define the size of array

how to define the size of array

Minimum cost spanning trees, A spanning tree of any graph is only a subgrap...

A spanning tree of any graph is only a subgraph that keeps all the vertices and is a tree (having no cycle). A graph might have many spanning trees. Figure: A Graph

Circularly linked lists implementation, CIRCULARLY LINKED LISTS IMPLEMENTAT...

CIRCULARLY LINKED LISTS IMPLEMENTATION A linked list wherein the last element points to the first element is called as CIRCULAR linked list. The chains do not specified first o

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