(3) Start with a 4 by 4 matrix A whose entries are integers in the range from 1 to 10 (output A). Add a row on the bottom of A that con sists of the mean of each column of A and assign the resulting matrix to B (output B). Next, add a row to the bottom of A that consists of the sums of the entries down each column of A and assign the resulting matrix to C (output C). Last, add a column to the right of A that consi sts of the sums of the entries across each row of A and assign the resulting matrix to D (output D). Hint you can use MA TLAB functions randi, mean, sum.

(3) Start with a 4 by 4 matrix A whose entries are integers in the range from 1 to 10 (output A). Add a row on the bottom of A that con sists of the mean of each column of A and assign the resulting matrix to B (output B). Next, add a row to the bottom of A that consists of the sums of the entries down each column of A and assign the resulting matrix to C (output C). Last, add a column to the right of A that consi sts of the sums of the entries across each row of A and assign the resulting matrix to D (output D). Hint you can use MA TLAB functions randi, mean, sum.

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

Problem 1PE

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Create the following vector C = [0.7 1.9 3.1 4.3 5.5 6.7 7.9 9.1 10.3 11.5 12.7 13.9 15.1 16.3 17.5]. %D Then use MATLAB's built-in reshape function and the transpose operation to create the following matrix D from the vector C: 0.7 1.9 3.1 4.3 5.5 D = 6.7 7.9 9.1 10.3 11.5 12.7 13.9 15.1 16.3 17.5| Use the matrix D to: (a) Create a nine-element column vector named ua that contains the elements of the first, third, and fourth columns of D. (b) Create an eight-element row vector named ub that contains the elements of the second row of D and the third column of D. (c) Create a six-element row vector named uc that contains the first three elements of the first row of D and the last three elements of the last row of D. Script e C Reset I MATLAB Documentation 1 %Don't change the variable name 2 ua = 3 ub 4 uc =
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python please provide code and result Create a random 5x5 matrix sampled from the unit interval in variable “A". Compute the inverse of the matrix, and store it in variable "B". Using matrix multiplication, compute the product of the two matrices - make sure you got identity matrix with 1 on the diagonal and 0 elsewhere (up to numerical precision). Plot the matrices as heatmaps with matplotlib imshow function. Use one plot with 3 subplots, add subplot titles ("A", "A-inverse", "I").
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Write the MATLAB commands that assign 33 and 4 to the variables a and b, respectively. Then, create a column vector W with the elements а! In(ab) Vb - a V(a + b)² – (b – a)? -a b where y! is the factorial of y, for which you should use a built-in MATLAB function, and In(x) is the natural logarithm of x. Finally, compute the average of the elements in W.
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The formula C=numpy.add(A, B) adds the two matrices A and B and stores the result in C.• To subtract matrix B from matrix A, enter C=numpy.subtract(A, B). The result is stored in C.• C=numpy.divide(A, B): Split matrix A into two equal parts and store the result in C.• C stands for numpy.multiply(A, B): Multiply matrices A and B, then store the result in matrices C.• C=numpy.sum(A): Calculate the sum of each element in the matrix A, then store the result in c R.• C=numpy.sum(A, axis = 0): Create a vector C by adding the columns of the matrix A.• C=numpy.sum(A, axis = 1): Summarize matrix A row-by-row and store the result in the vector C. Create Python code that demonstrates the use of these techniques in a sample matrix.