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- Consider the following snapshot of a system: Answer the following questions using the banker’s algorithm: a. What is the content of the matrix Need?b. Is the system in a safe state?c. If a request from process P1 arrives for (0, 4, 2, 0), can the request be granted immediately?Answer the following questions using the banker’s algorithm: a. What is the content of the matrix Need? b. Is the system in a safe state? c. If a request from process P1 arrives for (0,4,2,0), can the request be granted immediately?Given and nxn matrix filled with either 0 or 1 your task is to turn as few 0 as possible into 1 such that every index meets the requirement that its neighbour (i+1,i-1,j+1,j-1) sum is even. return minimum no of zero you need to convert into 1, return -1 if no soltuion possible constraints : 1<=tc<=10 1<=n<=10 input: tc = 2 n = 3 1 1 1 1 1 1 0 0 0 n = 3 0 0 0 1 0 0 0 0 0 output : for first tc : -1 for second : 3
- Banker’s algorithm to see if the following is a safe sequence Processes Allocation Max Available R1 R2 R3 R1 R2 R3 R1 R2 R3 P1 0 1 0 7 4 4 4 1 2 P2 1 0 0 3 3 2 P3 4 0 3 7 0 3 P4 3 1 4 4 3 4 Answer the following questions Calculate and display the Need matrix Is the system in safe state? If yes, then show at least one safe sequence of the processes. If no, then show why it is in an unsafe situation. Additionally, show how the Available (working array) changes as each process terminates.I am having trouble with a individual coding problem I am doing in python: Ar = int(input("How many rows does your matrix have? "))Ac = int(input("How many columns does your matrix have? ")) win = GraphWin('Matrix A', 300,300) win.setBackground('white') for p in range(Ac):y = 75 + 40*pfor q in range(Ac):x = 50 + 50*qinputText = Entry(Point(x,y), 3)inputText.setText('0')inputText.draw(win) ## The issue I having is that I want to be able to get the users inputs from their entries so that I can do matrix operations on them. However, anytime I try to append their entries at best I just get their last entry repeated (n)(m) times. I would be very thankful if you can show me how I can change my code so that I append all user entries correctly.write a C++ program to Given a matrix of dimension m*n where each cell in the matrix can have values 0, 1 or 2 whichhas the following meaning:0: Empty cell1: Cells have fresh oranges2: Cells have rotten orangesSo we have to determine what is the minimum time required so that all the oranges becomerotten. A rotten orange at index [i,j] can rot other fresh orange at indexes [i-1,j], [i+1,j], [i,j-1],[i,j+1] (up, down, left and right). If it is impossible to rot every orange then simply return -1.Examples:Input: arr[][C] = { {2, 1, 0, 2, 1},{1, 0, 1, 2, 1},{1, 0, 0, 2, 1}};Output:All oranges can become rotten in 2 time frames.Input: arr[][C] = { {2, 1, 0, 2, 1},Tahir Iqbal Department of Computer Sciences. BULC{0, 0, 1, 2, 1},{1, 0, 0, 2, 1}};Output:All oranges cannot be rotten.Below is algorithm.1) Create an empty Q.2) Find all rotten oranges and enqueue them to Q. Also enqueuea delimiter to indicate beginning of next time frame.3) While Q is not empty do following3.a) While delimiter in…
- Given a square matrix of size ?×?�×� that only contains integers, compute the sum of the two diagonals. If the dimension of the square matrix is odd, make sure that you are not double-counting the value at the centre of the matrix. Figure 2: Sum of diagonals. Function specifications Arguments: matrix (numpy.ndarray) →→ input matrix to be used for computing the sum. Return: sum (int) →→ return the sum of the two diagonals. Expected outputs: matrix = np.array([[7, 0, 8], [6, 9, 1], [3, 8, 4]]) sum_of_diagonals(matrix)==31 matrix = np.array([[4, 1, 1, 1], [1, 3, 8, 0], [0, 8, 5, 7], [1, 6, 1, 3]]) sum_of_diagonals(matrix)==33Write down the tensor expression for the following matrix operations. Where A,B are 3 × 3, C is 3 × 4, and D is 4 × 7 matrices. And for a matrix M, its i-th row j-th column component will be denoted as M_ij . (a) det(A · B^T ).(b) Tr[A · B].(c) B · C · D, and explicitly spell out all the index summation.(d)δ_ii =?(e) ϵ_ijkϵ_ijk =?Given the following transaction database from a supermarket: Transaction ID items T1 I1, I2, I3 T2 I2, I3, I4 T3 I4, I5 T4 I1, I2, I4 T5 I1, I2, I3, I5 T6 I1, I2, I3, I4 What is the output of the Apriori algorithm run on the above transaction database with a minimum support of 50 % (i.e. 3 out of 6 transactions)? Calculate the following confidence: {I1, I2} => { I3} {I2} => {I1, I3} {I1, I3} => {I2} Calculate the following lift: {I2} => {I3} {I2} => {I4} {I1, I3} => {I2}
- Construct a square matrix with NN rows and NN columns consisting of nonnegative integers from 00 to 10^{18}1018, such that its determinant is equal to 11, and there are exactly A_iAi odd numbers in the ii-th row for each ii from 11 to NN, or report there isn't such a matrix. Standard input The first line contains a single integer NN. Each of the next NN lines contains a single integer A_iAi. Standard output If there is no solution, output \text{-}1-1. Otherwise, print NN lines, each consisting of NN integers, representing the values of the constructed matrix. If there are multiple solutions, print any. Constraints and notes 2 \le N \le 502≤N≤50 1 \leq A_i \leq N1≤Ai≤N For 40\%40% of the test files, N \le 17N≤17.Answer the following questions using the Banker’s algorithm:a. What is the content of the matrix Needb. Is the system in a safe state? Explainc. If a request from process P1 arrives for (0,4,2,0), can the request be grantedimmediately? ExplainA is be a 4×3 matrix and B is a 3×2 matrix. Which of the following gives a 2×4 matrix as a result? Select one alternative: a. BT AT b. BT A c. B A d. A + BT