Sunday, June 7, 2026

MATRIX OPERATIONS

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Rajeshwari Chiluveru
Rajeshwari Chiluveruhttps://www.webvidyalayam.com/
Rajeshwari is a Smart TV and connectivity specialist with over 7 years of hands-on experience in troubleshooting real-world device issues. She has worked extensively on diagnosing problems such as WiFi not working, HDMI ARC/eARC failures, app errors, and connectivity issues across platforms like Samsung, Hisense, and Android TV. At Web Vidyalayam, she focuses on creating verified, step-by-step solutions based on practical testing rather than theory. Her goal is to simplify complex technical problems and help users fix their devices quickly and confidently.

Deleting row or column in matrix:

An empty braces [] will define the entire row and column of a matrix is deleted. Let us consider an example deleting 2nd row of the:

 a = [3 4 5 6 7; 2 3 4 5 6; 1 2 3 4 5;  4 5 6 7 8];

a ( 2 , : ) = []

if we want to delete the 3rd  column of the given example

a = [2 3 4 5 6; 1 2 3 4 5; 3 4 5 6 7; 4 5 6 7 8];

a(: , 3)=[]

Matrix Operation:

Now let us discuss some commonly used matrix operations are:

Addition and subtraction of matrix:

While performing matrix addition and subtraction when both the operand of matrices must have same number of rows and columns.

Let us consider an example

a = [2 1 3; 4 5 6; 7 8 9];

b = [4 5 6; 1 2 3; 7 8 9];

c = a + b

a = [3 2 4; 4 5 6; 7 8 9];

b = [2 1 3; 3 2 1; 4 5 6];

d = a – b

If we run script file we get:

c= 6 6 9

     5 7 9

     14 16 18

d= 1 1 1

     1 3 5

      3 3 3

Division of (right, left) matrix:

If we want to perform the division of two matrices left (\) or right (/) division operation, when both the operand of matrices must have same number of rows and columns.

Now let us consider an example:

a = [1 2 3; 4 2 6; 7 5 2];

 b = [3 5 6; 2 3 8; 5 7 2];

 c = a / b

d = a \ b

If we run the above example we get output as:

c = -0.7916   0.1666   0.2083

      1.0833   4.3333   0.9166

       2.9583 4.6666   3.8333

 d =

-3.27778   -1.05556   -4.86111

 -0.11111   0.11111   -0.27778

 3.05556      1.27778   4.30556

Transpose of matrix:

The transpose operation will be defined as switching of the rows and columns in a matrix. And it will be represented as a single quote (‘).

Let us consider example:

a = [11 12 13; 14 8 6; 27 8 9]

b = a’

It displayed has:

a = 11 12 13

      14 8   6

      27 8   9

b = 11 14 27

       12 8   8 

       13 6   9

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