Efficient way of storing two symmetric matrices, Data Structure & Algorithms

Explain an efficient way of storing two symmetric matrices of the same order in memory.

A n-square matrix array is said to be symmetric if a[j][k]=a[k][j] for all j and k. For a symmetric matrix, we require to store elements which lie on and below the diagonal or those on and above the diagonal.

 

Posted Date: 5/10/2013 2:10:27 AM | Location : United States







Related Discussions:- Efficient way of storing two symmetric matrices, Assignment Help, Ask Question on Efficient way of storing two symmetric matrices, Get Answer, Expert's Help, Efficient way of storing two symmetric matrices Discussions

Write discussion on Efficient way of storing two symmetric matrices
Your posts are moderated
Related Questions
Create a Money data structure that is made up of amount and currency. (a) Write a constructor for this data structure (b) Create accessors for this data structure (c) Writ

. Create a decision table that describes the movement of inventory

merge sort process for an example array {38, 27, 43, 3, 9, 82, 10}. If we take a closer look at the diagram, we can see that the array is recursively divided in two halves till the

Preorder traversal of a binary tree struct NODE { struct NODE *left; int value;     /* can take any data type */ struct NODE *right; };   preorder(struct N

Write the algorithm for compound interest

DEPTH FIRST SEARCH (DFS) The approach adopted into depth first search is to search deeper whenever possible. This algorithm frequently searches deeper through visiting unvisite

Q. What do you understand by the term Hashing?  How do the collisions occur during hashing?  Explain the different techniques or methods for resolving the collision.

A spanning tree of any graph is only a subgraph that keeps all the vertices and is a tree (having no cycle). A graph might have many spanning trees. Figure: A Graph

Algorithm for determining strongly connected components of a Graph: Strongly Connected Components (G) where d[u] = discovery time of the vertex u throughout DFS , f[u] = f

Since memory is becoming more & cheaper, the prominence of runtime complexity is enhancing. However, it is very much significant to analyses the amount of memory utilized by a prog