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

Determine the algorithm for z-buffer method, Algorithm for Z-Buffer Method ...

Algorithm for Z-Buffer Method (a)  Initialize every pixel in the viewport to the smallest value of z, namely z0 the z-value of the rear clipping plane or "back-ground". Store a

Explain graph traversal, Graph Traversal In many problems we wish to in...

Graph Traversal In many problems we wish to investigate all the vertices in a graph in some systematic order. In graph we often do not have any single vertex singled out as spe

Inequalities, #question.show that the following inequality is correct or in...

#question.show that the following inequality is correct or incorrect. n!=O(n^n)

Linear array, representation of linear array

representation of linear array

Structured programming, What do you understand by term structured programmi...

What do you understand by term structured programming? Explain the structured programming as well.                                 Ans. S tructured Programming is expla

Logic circuits, the voltage wave forms are applied at the inputs of an EX-O...

the voltage wave forms are applied at the inputs of an EX-OR gate. determine the output wave form

Dqueue, algorithm of output restricted queue.

algorithm of output restricted queue.

BST has two children, If a node in a BST has two children, then its inorder...

If a node in a BST has two children, then its inorder predecessor has No right child

What is solid modeling, What is Solid modeling Solid modeling is the mo...

What is Solid modeling Solid modeling is the most powerful of the 3-D modeling technique. It provides the user with complete information about the model. Defining an object wit

Search on a heap file, Consider the file " search_2013 ". This is a text fi...

Consider the file " search_2013 ". This is a text file containingsearch key values; each entry is a particular ID (in the schema given above). You are tosimulate searching over a h

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