
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Create a NumPy program and get the determinant of the given matrix
using google colab

Transcribed Image Text:1 23
2 3 3
3 4 -2
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- Rank and Nullity This activity shall determine the rank and nullity of a matrix. Create a function that will be able to solve the following: a. accept the a rectangular array of elements. b. compute the rank c. compute for the nullity of the matrix d. identify the rowspace of A e. identify the column space of A. Refer to the discussion item at the MATLAB Discussion handout. [Rank, Nullity, Rowspace, Nullspace] = ranknullity(A)arrow_forwardCreate a 3-by-3 matrix: A = [1 2 3;4 5 6;7 8 10] (a)Extract a submatrix B consisting of rows 1 and 3 and columns 1 and 2 of the matrix A (b)Interchange rows 1 and 3 of A and put it in a variable C. Hint: use the vector of row indices together with the colon operator (c)Create a vector version of the original matrix A. (d)Delete the 2nd column of the original matrix A and put it in a variable called A. (e)Insert a 2nd column to the new matrix A to restore it back to its original form A. (f) Extract those entries of the original matrix A that are greater than 5arrow_forward6. Numpy.linalg https://numpy.org/doc/stable/reference/generated/numpy.linalg. solve.html. Generate a random, square matrix and random vector using numpy and then solve using numpy.linalg.solve(). Confirm it is a solution using 'A.dot (x)' where x is the solution from solve(). import numpy as np n=100 Numpy has its own black-box linear system solver numpy.linalg.solve(): A=np.random.rand (n,n) b=np.random.rand (n,1) Iarrow_forward
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