Generate a single sorted list of all n elements, Data Structure & Algorithms

Assignment Help:

Q. Assume that we have separated n elements in to m sorted lists. Explain how to generate a single sorted list of all n elements in time O (n log m )?                                                   

Ans.

The list can be developed using Merge sort. Following is the method for it. Assume A is a sorted list with r elements and B is a sorted list with s elements. The operation that combines the elements of A and B into the single sorted list C with n = r +s elements is known as merging.

Procedure 1

MERGING(A, R, B, S, C)

Let A and B be the sorted arrays with R and S elements respectively. The

algorithm merges A and B into an array C with N= R + S elements.

1. [Initialize.] Set NA := 1, NB := 1 and PTR := 1.

2. [Compare.] Repeat while NA <=  R and NB <=  S : If A[NA] < B[NB], then ;

(a)  [Assign element from A to C.] Set C[PTR] := A[NA].

(b)  [Update pointers.] Set PTR := PTR + 1 and

NA := NA + 1. Else:

(a)   [Assign element from B to C.] Set C[PTR]

:= B[NB].

(b)   [Update pointers.] Set PTR := PTR + 1 and

NB := NB + 1.

[End of If structure.] [End of loop.]

3. [Assign remaining elements to C.] If NA > R, then:

Repeat for K = 0, 1, 2,...,S-NB:

Set C[PTR + K] := B[NB + K]. [End of loop.]

Else:

Repeat for K = 0, 1, 2, ..., R - NA:

Set C[PTR + K] := A[NA + K]. [End of loop.]

[End of If structure.]

4. Exit.

Procedure 2:

MERGE(A, R, LBA, S, LBB, C, LBC)

This procedure merges the sorted arrays A

and B into the array C.

1. Set NA := LBA, NB := LBB, PTR := LBC, UBA:= LBA + R - 1, UBB :=     LBB + S - 1.

2. call merging (A,UBA,B,UBB,C)

3. Return.

Procedure 3:

MERGEPASS(A, N, L, B)

The N-element array A consists of sorted subarrays where each subarray has L elements apart from possibly the last subarray, which can have fewer than L elements. The procedure merges the pairs of subarrays of A and assigns them to the array B.

1.   Set Q := INT(N/(2*L)), S:= 2*L*Q and R := N - S.

2.  [Use procedure2 to merge the Q pairs of subarrays.] Repeat for J = 1, 2, . . ., Q:

(a) Set LB := 1 + (2*J - 2) * L. [Finds lower bound of first array.]

(b) Call MERGE(A, L, LB, A, L, LB + L, B, LB). [End of loop.]

3.  [Only one subarray left ?] If R ?  L, then: Repeat for J = 1, 2, . . ., R: Set B(S + J) := A(S+J).

[End of loop.]

Else :

CALL MERGE(A, L, S + 1, A, R, L + S + 1, B, S + 1).

[End of If structure.]

4.   Return.

Procedure 4 MERGESORT( A, N)

This particular algorithm sorts the Nth element array A using an auxiliary array B.

1.   Set L:=1 . [ Initiliazes the number of elements in the subarrays.]

2.   Repeat Steps 3 to 6 while L

3.            Call MERGEPASS(A,N,L,B)

4.            Call MERGEPASS(B,N,2*L,A).

5.             Set L:= 4*L.

[End of Step 2 loop].

6.   Exit.


Related Discussions:- Generate a single sorted list of all n elements

Data Warehousing, Assume you are in the insurance business. Find two exampl...

Assume you are in the insurance business. Find two examples of Type 2 slowly changing dimensions in that business. As an analyst on the project, write the specifications for applyi

Program segment for quick sort, Illustrates the program segment for Quick s...

Illustrates the program segment for Quick sort. It uses recursion. Program 1: Quick Sort Quicksort(A,m,n) int A[ ],m,n { int i, j, k; if m { i=m; j=n+1; k

Procedure to delete all terminal nodes of the tree, Q. Let a binary tree 'T...

Q. Let a binary tree 'T' be in memory. Write a procedure to delete all terminal nodes of the tree.       A n s . fun ction to Delete Terminal Nodes from Binary Tree

Graph traversal, 1) Which graph traversal uses a queue to hold vertices whi...

1) Which graph traversal uses a queue to hold vertices which are to be processed next ? 2) Which of the graph traversal is recursive by nature? 3) For a dense graph, Prim's a

Binary search tree (bst), Q. Explain what do we understand by Binary Search...

Q. Explain what do we understand by Binary Search Tree (BST)? Make a BST for the following given sequence of the numbers. 45, 32, 90, 21, 78, 65, 87, 132, 90, 96, 41, 74, 92

What are the dynamic arrays, What are the Dynamic arrays Dynamic arrays...

What are the Dynamic arrays Dynamic arrays are convenient for programmers since they can never be too small-whenever more space is needed in a dynamic array, it can simply be e

Bayesian statistics question, Suppose that there is a Beta(2,2) prior distr...

Suppose that there is a Beta(2,2) prior distribution on the probability theta that a coin will yield a "head" when spun in a specified manner. The coin is independently spun 10 tim

An undirected graph g with n vertices and e edges, An undirected graph G wi...

An undirected graph G with n vertices and e edges is shown by adjacency list.  What is the time required to generate all the connected components? O (e+n)

The searching technique that takes o (1) time to find a data, The searching...

The searching technique that takes O (1) time to find a data is    Hashing is used to find a data

Binary search trees, A Binary Search Tree is binary tree which is either em...

A Binary Search Tree is binary tree which is either empty or a node having a key value, left child & right child. By analyzing the above definition, we notice that BST comes int

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