Sparse metrics, Data Structure & Algorithms

Assignment Help:

Q. Define the sparse metrics and also explain the representation of a 4X4 matrix using linked list.        

Ans:

A matrix in which number of zero entries is quite higher than the number of non zero entries is called the sparse matrix. The natural method or technoque of expressing matrices in memory as two-dimensional arrays may not be appropriate for sparse matrices. One can save the space by storing only nonzero entries. For example matrix A (3*3 matrix) which is represented below

 

0    2      0

5   0     0

0   6     9

can be written in sparse matrix form as:

3   3     4

0    1      2

1   0   5

2   2   6

2   3   9

In this the first row represent the dimension of matrix and last column tells us about the total number of non zero values; from the second row onwards it is giving the location and value of non zero number.

Representation of a 4*4 matrix using linked list is given below:

#define MAX1 4

#define MAX2 4

struct cheadnode           /* structure for col

headnode */

{

int colno ;

struct node *down ;

struct cheadnode *next ;

} ;

struct rheadnode          /* structure for row

headnode */

{

int rowno ;

struct node * right ;

struct rheadnode *next ;

} ;

struct node                  /* structure for node to

store element */

{

int row ; int col ; int val ;

struct node *right ;

struct node *down ;

} ;

struct spmat                /* structure for special headnode */

{

struct rheadnode *firstrow ; struct cheadnode *firstcol ; int noofrows ;

int noofcols ;

} ;

struct sparse

{

int *sp ;

int row  ;

struct spmat *smat ;

struct cheadnode *chead[MAX2] ; struct rheadnode *rhead[MAX1] ; struct node *nd ;

} ;

void initsparse ( struct sparse *p )           /*

initializes structure elements */

{

int i ;

for ( i = 0 ; i < MAX1 ; i++ )            /* create row headnodes */

p -> rhead[i] = ( struct rheadnode * ) malloc (

sizeof ( struct rheadnode ) ) ;

for ( i = 0 ; i < MAX1 - 1 ; i++ ) /* initialize and

link row headnodes together */

{

p -> rhead[i] -> next = p -> rhead[i + 1] ;

p -> rhead[i] -> right = NULL ;

p -> rhead[i] -> rowno = i ;

}

p -> rhead[i] -> right = NULL ;

p -> rhead[i] -> next = NULL ;

for ( i = 0 ; i < MAX1 ; i++ )          /* create col headnodes */

p -> chead[i] = ( struct cheadnode * ) malloc (

sizeof ( struct cheadnode ) ) ;

for ( i = 0 ; i < MAX2 - 1 ; i++ )               /*

initialize and link col headnodes together */

{

p -> chead[i] -> next = p -> chead[i + 1] ;

p -> chead[i] -> down = NULL ;

p -> chead[i] -> colno = i ;

}

p -> chead[i] -> down = NULL ;

p -> chead[i] -> next = NULL ;

/* create and initialize special headnode */

p -> smat = ( struct spmat * ) malloc ( sizeof (

struct spmat ) ) ;

p -> smat -> firstcol = p -> chead[0] ;

p -> smat -> firstrow = p -> rhead[0] ;

p -> smat -> noofcols = MAX2 ;

p -> smat -> noofrows = MAX1 ;

}

void create_array ( struct sparse *p )    /* creates, dynamically the matrix of size MAX1 x MAX2 */

{

int n, i ;

p -> sp = ( int * ) malloc ( MAX1 * MAX2 * sizeof (

int ) ) ;

for ( i = 0 ; i < MAX1 * MAX2 ; i++ )        /*

get the element and store it */

{

printf ( "Enter element no. %d:", i ) ;

scanf ( "%d", &n ) ;

* ( p -> sp + i ) = n ;

}

}


Related Discussions:- Sparse metrics

Avl tree rotations, AVL trees and the nodes it contains must meet strict ba...

AVL trees and the nodes it contains must meet strict balance requirements to maintain O(log n) search time. These balance restrictions are kept maintained via various rotation func

The theta-notation, This notation bounds a function to in constant factors....

This notation bounds a function to in constant factors. We say f(n) = Θ(g(n)) if there presents positive constants n 0 , c 1 and c 2 such that to the right of n 0 the value of f

Explain thread, Thread By changing the NULL lines in a binary tree to ...

Thread By changing the NULL lines in a binary tree to special links known as threads, it is possible to perform traversal, insertion and deletion without using either a stack

Explain dijkstra''s algorithm, Explain Dijkstra's algorithm Dijkstra's ...

Explain Dijkstra's algorithm Dijkstra's algorithm: This problem is concerned with finding the least cost path from an originating node in a weighted graph to a destination node

Write the algorithm to find input and output value, This algorithm inputs 5...

This algorithm inputs 5 values and outputs how many input numbers were positive and how many were negative. Data to be used: N = 1, -5, 2, -8, -7

State the symbols of abstract data type operation, Symbols of ADT oepration...

Symbols of ADT oeprations All Symbol ADT operations are implemented in Symbol class, except toSymbol(), which is implemented in classes (like String) which can generate a Symb

Algorithm for inorder traversals, Step-1: For the current node, verify whet...

Step-1: For the current node, verify whether it contain a left child. If it has, then go to step-2 or else go to step-3 Step-2: Repeat step-1 for left child Step-3: Visit (th

Stack, Explain in detail the algorithmic implementation of multiple stacks....

Explain in detail the algorithmic implementation of multiple stacks.

Algorithm to merge the lists together, Q. Let X = (X1, X2, X3,....Xn) and Y...

Q. Let X = (X1, X2, X3,....Xn) and Y= (Y1, Y2, Y3,....Xm) be the two linked lists respectively. Write down an algorithm to merge the lists together to get the linked list Z such th

Chaining Method as Method of Collision Resolution , Q. The given values are...

Q. The given values are to be stored in a hash table 25, 42, 96, 101, 102, 162, 197 Explain how the values are hashed by using division technique of hashing with a table

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