1. Reshape the matrix A into size twelve rows and two columns (12x2). Assign the reshaped matrix to variable B 2. Reshape the matrix A into a row vector (1x24). Assign the reshaped row vector to variable C

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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MG_16 (reshape matrices)
Use the built-in function reshape a matrix
Given the matrix A
1. Reshape the matrix A into size twelve rows and two columns (12x2). Assign the reshaped matrix to variable B
2. Reshape the matrix A into a row vector (1x24). Assign the reshaped row vector to variable C
Hints: Built-in function rng initializes the random number generator and function randi generates uniformly distributed pseudorandom integers. You need to use buill-in function
reshape, check MATLAB documentation for more details.
C Reset
I MATLAB Documentation
A Save
Script o
1 rng(0)
2 A - randi(20,8,3): X generate matrixA with uniformly distributed pseudorandon Integers
XInitializes randon number generator with seed e.
Run Script
Submit
Assessment:
Reshape into 12x2 matrix
Reshape into row vector
DELL
-WESTCOTT
To
STAINLESS STEEL
19
14
12
Transcribed Image Text:MG_16 (reshape matrices) Use the built-in function reshape a matrix Given the matrix A 1. Reshape the matrix A into size twelve rows and two columns (12x2). Assign the reshaped matrix to variable B 2. Reshape the matrix A into a row vector (1x24). Assign the reshaped row vector to variable C Hints: Built-in function rng initializes the random number generator and function randi generates uniformly distributed pseudorandom integers. You need to use buill-in function reshape, check MATLAB documentation for more details. C Reset I MATLAB Documentation A Save Script o 1 rng(0) 2 A - randi(20,8,3): X generate matrixA with uniformly distributed pseudorandon Integers XInitializes randon number generator with seed e. Run Script Submit Assessment: Reshape into 12x2 matrix Reshape into row vector DELL -WESTCOTT To STAINLESS STEEL 19 14 12
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