Question

In data analysis, a "sparse matrix" is often used. What

Q: Answer-In data analysis, a 'sparse matrix' is often used. What is the defining characteristic of a sparse m...

A sparse matrix is a matrix in which a significant proportion of the elements are zero. Storing only the non-zero elements can save memory and computation time.

is the defining characteristic of a sparse matrix?

A All its elements are non-zero.

B It has an equal number of rows and columns.

C The majority of its elements are zero.

D It can only store integer values.

E It is always a square matrix.

Practice Next

More IT Operating System Questions

Which type of inheritance in C++ allows a class to inherit from more than one base class?
A good hash function aims to achieve which of the following characteristics?
Fill in the correct option for 25 blank space.
What is an effective method to enhance security compliance in data handling practices?
Which of the following sorting technique is an example of Divide and Conquer technique?
Which of the following is NOT part of CIA triad?
Consider the following C++ code:

#include

class Base {

public:

virtual void show() = 0;

};

cl...
Which of the following is a primary advantage of a microservices architecture compared to a monolithic architecture?
Which access specifier allows data to be accessed only within the class?
In a virtual memory system, which of the following techniques is used to maintain the illusion that each process has its own dedicated memory space?

In data analysis, a "sparse matrix" is often used. What

Solution