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

Searching, Searching is the procedure of looking for something: Finding one...

Searching is the procedure of looking for something: Finding one piece of data that has been stored inside a whole group of data. It is frequently the most time-consuming part of m

The various ways in which lc code can be accessed, Problem Your LC code...

Problem Your LC code is stored in a memory location as shown and the variable name is LC                  LC Memory address       Content(LC code)

Amortized algorithm analysis, In the amortized analysis, the time needed to...

In the amortized analysis, the time needed to perform a set of operations is the average of all operations performed. Amortized analysis considers as a long sequence of operations

Define minimum spanning tree, Define Minimum Spanning Tree A minimum sp...

Define Minimum Spanning Tree A minimum spanning tree of a weighted linked graph is its spanning tree of the smallest weight, where the weight of a tree is explained as the sum

Standard ways of traversing a graph, Q. Which are the two standard ways of ...

Q. Which are the two standard ways of traversing a graph?  Explain them with an example of each.  Ans:   T he two ways of traversing a graph are written below

What is a height balanced tree, What is a height balanced tree? Height Ba...

What is a height balanced tree? Height Balanced Tree (AVL Tree) An AVL tree is a binary search tree in which the height of the left and right subtree of the root vary by at most

Define container in terms of object-oriented terms, Define container in te...

Define container in terms of  object-oriented terms A Container is a broad category whose instances are all more specific things; there is never anything which is just a Contai

#title., Ask quapplication of data structure estion #Minimum 100 words acce...

Ask quapplication of data structure estion #Minimum 100 words accepted#

Computational complexity, Generally, Computational complexity of algorithms...

Generally, Computational complexity of algorithms are referred to through space complexity (space needed for running program) and time complexity (time needed for running the progr

How can the third dimension be displayed on the screen, How can the third d...

How can the third dimension be displayed on the screen The main problem in visualization is the display of three-dimensional objects and scenes on two-dimensional screens. How

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