Below are five expressions, each involving some numpy array, A. Without knowing the elements of A, match each expression with its resultingarray.Note: You may assume that numpy has been imported under the name np.[[ e. -e. e.][ 0. 0. -2.][-0. 2. -4.]][[16. 1. 9.][4. 0. 1.][25. 1. 1.]][[-1. 7. -8.][-3. -3.5.]6.-15.]][ 17.[[ 2.2. 2.][-1. -1.-1.][3. 3. 3.]][[ 8. -1. 2.][-1.0. e.][ 2. e. -2.]]✓ Choose...A**2A+A.TA@np.ones((3,3))np.array([[A[i,j]*i*j for i in range(3)] for j in range(3)])np.linalg.matrix_power(A,2)Choose...Choose...Choose...

np.array([[A[i,j]**2 for j in range(3)] for i in range(3)]) Result: [[ 0. 0. 0. ] [ 0. 0. 4. ] [ 0.…

[[e. -e. e.] [ 0. 0. -2.] [-0. 2. 4.]] [[16. 1. 9.] [ 4. 0. 1.] [25. 1. 1.]] [[-1. 7. -8.] [-3. -3. 5.] [ 17. 6.-15.]] [[ 2. 2. 2.] [-1.-1. -1.] [3. 3. 3.]] [[ 8. -1. 2.] [-1. 0. e.] [ 2. e. -2.]] ✓ Choose... A**2 A+A.T A@np.ones((3,3)) np.array([[A[i,j]*i*j for i in range(3)] for j in range(3)]) np.linalg.matrix_power(A,2) Choose... Choose... Choose... + •

[[e. -e. e.] [ 0. 0. -2.] [-0. 2. 4.]] [[16. 1. 9.] [ 4. 0. 1.] [25. 1. 1.]] [[-1. 7. -8.] [-3. -3. 5.] [ 17. 6.-15.]] [[ 2. 2. 2.] [-1.-1. -1.] [3. 3. 3.]] [[ 8. -1. 2.] [-1. 0. e.] [ 2. e. -2.]] ✓ Choose... A**2 A+A.T A@np.ones((3,3)) np.array([[A[i,j]ij for i in range(3)] for j in range(3)]) np.linalg.matrix_power(A,2) Choose... Choose... Choose... + •

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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Question

Below are five expressions, each involving some numpy array, A. Without knowing the elements of A, match each expression with its resulting
array.
Note: You may assume that numpy has been imported under the name np.
[[ e. -e. e.]
[ 0. 0. -2.]
[-0. 2. -4.]]
[[16. 1. 9.]
[4. 0. 1.]
[25. 1. 1.]]
[[-1. 7. -8.]
[-3. -3.
5.]
6.-15.]]
[ 17.
[[ 2.
2. 2.]
[-1. -1.-1.]
[3. 3. 3.]]
[[ 8. -1. 2.]
[-1.0. e.]
[ 2. e. -2.]]
✓ Choose...
A**2
A+A.T
A@np.ones((3,3))
np.array([[A[i,j]*i*j for i in range(3)] for j in range(3)])
np.linalg.matrix_power(A,2)
Choose...
Choose...
Choose...

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Step 1: For the fourth and second expressions the arrays are:

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