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

Write an algorithm for binary search., Write an algorithm for binary search...

Write an algorithm for binary search. Algorithm for Binary Search 1.  if (low> high) 2.  return (-1) 3.  Mid = (low + high)/2 4.  if ( X = = a[mid]) 5.  return (mid); 6.

Total impedent of the circuit, an electrical student designed a circuit in...

an electrical student designed a circuit in which the impedence in one part of a series circuit is 2+j8 ohms and the impedent is another part of the circuit is 4-j60 ohm mm program

Advantages of the last in first out method, Materials consumed are priced i...

Materials consumed are priced in a systematic and realistic manner. It is argued that current acquisition costs are incurred for the purpose of meeting current production and sales

Find strongly connected components - dfs, A striking application of DFS is ...

A striking application of DFS is determine a strongly connected component of a graph. Definition: For graph G = (V, E) , where V refer to the set of vertices and E refer to the

Define binary search technique, Binary search technique:-  This techniq...

Binary search technique:-  This technique is applied to an ordered list where elements are arranged either in ascending order or descending order. The array is separated into t

Binary search trees, In this unit, we discussed Binary Search Trees, AVL tr...

In this unit, we discussed Binary Search Trees, AVL trees and B-trees. The outstanding feature of Binary Search Trees is that all of the elements of the left subtree of the root

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

Define the terms - key attribute and value set, Define the terms   ...

Define the terms     i) Key attribute     ii) Value set  Key attribute:  An entity  type  usually  has  an attribute  whose  values  are  distinct  fr

Multilist file organisation, what is multilist length file organisation? ex...

what is multilist length file organisation? explain with an example

Applications in file systems of avl trees, 1. In computer science, a classi...

1. In computer science, a classic problem is how to dynamically store information so as to let for quick look up. This searching problem arises frequently in dictionaries, symbol t

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