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(Ваndom Matrices) rand_mat_and_entry Function: Input parameters: • two scalars representing the mumber of rows m and columns n of the desired matrix • two scalars representing the minimum and maximum values desired (as flonting point numbers) in the matrix Output parameters: • an m x n matrix A with randomly chosen flonting point entries between the desired minimum and maximum values a scalar which is a randomly sclected entry from the matrix producod (note: to do this, you will have to randomly select a row then a column after producing the matrix or else your random numbers won't matech mine in the autograder) A possible sample case is: > » [mat_A, ran entry] = rand mat and entry(3, 4, 0, 10) mat A = 8.66802 1.66461 8.92578 1.60330 9.12651 7.40808 1.49912 7.37412 0.93661 7.61565 8.95304 3.64944 rand_entry - 7.40808

(Ваndom Matrices) rand_mat_and_entry Function: Input parameters: • two scalars representing the mumber of rows m and columns n of the desired matrix • two scalars representing the minimum and maximum values desired (as flonting point numbers) in the matrix Output parameters: • an m x n matrix A with randomly chosen flonting point entries between the desired minimum and maximum values a scalar which is a randomly sclected entry from the matrix producod (note: to do this, you will have to randomly select a row then a column after producing the matrix or else your random numbers won't matech mine in the autograder) A possible sample case is: > » [mat_A, ran entry] = rand mat and entry(3, 4, 0, 10) mat A = 8.66802 1.66461 8.92578 1.60330 9.12651 7.40808 1.49912 7.37412 0.93661 7.61565 8.95304 3.64944 rand_entry - 7.40808

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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(Random Matriccs) rand_mat_and_entry Function: Input parameters: • two scalars representing the number of rows m and columns n of the desired matrix • two scalars representing the minimum and maximum values desired (as floating point numbers) in the matrix Output parameters: • an m x n matrix A with randomly chosen floating point entries between the desired minimum and maximum values a scalar which is a randomly selected entry from the matrix produced (note: to do this, you will have to randomly select a row then a column after producing the matrix or else your random numbers won't match mine in the autograder) A possible sample case is: » [mat_A, ran_entry] = rand_mat_and_entry (3, 4, 0, 10) mat_A = 8.66802 1.66461 8.92578 1.60330 9.12651 7.40808 1.49912 7.37412 0.93661 7.61565 8.95304 3.64944 rand entry = 7.40808
Transcribed Image Text:(Random Matriccs) rand_mat_and_entry Function: Input parameters: • two scalars representing the number of rows m and columns n of the desired matrix • two scalars representing the minimum and maximum values desired (as floating point numbers) in the matrix Output parameters: • an m x n matrix A with randomly chosen floating point entries between the desired minimum and maximum values a scalar which is a randomly selected entry from the matrix produced (note: to do this, you will have to randomly select a row then a column after producing the matrix or else your random numbers won't match mine in the autograder) A possible sample case is: » [mat_A, ran_entry] = rand_mat_and_entry (3, 4, 0, 10) mat_A = 8.66802 1.66461 8.92578 1.60330 9.12651 7.40808 1.49912 7.37412 0.93661 7.61565 8.95304 3.64944 rand entry = 7.40808
Expert Solution
Step 1

Since no programming language is mentioned, I am using matlab 

Code:

[matrix,entry]=rand_mat_and_entry(3,4,0,10)
function [mat_A,ran_entry]=rand_mat_and_entry(r,c,l,u)
   mat_A=l+(u-l).*rand(r,c)
   ind = ceil(rand * size(mat_A,1));
   ran_row = mat_A(ind,:);
   ran_entry=ran_row(:,ind)
end

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