Compute the summation of each column of matrix A. Create the above matrix using the MATLAB functions (zeros, ones, eye). Find the determinant and inverse of matrix A.
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A: Please solve this problem using Matlab Programming language. Answer in step2
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A: kindly upload remaining parts seperately.
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A: Find Your Answer Below
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A: Here in this question we have asked to find adjoint of the given matrix.
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A: Answer: I have done code and also I have attached code.
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A: Actually, program is an executable software that runs on a computer.
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A: According to our guidelines, we can solve one question at a time. I solved B) here.Kindly, repost…
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A: Solution to the above problem is given in step 2
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A: The answer of this question is as follows:
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A: - We need to find the determinant of the matrix shown.
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Q: H.W Find the Adjoint to the following matrix 0.5 01 X = -1 -0.8 2.2 -3.3
A: Here, we are asked the adjoint matrix for the given matrix X.
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Q: H.W:- Find the deteminant for the following matrices: 2 3 5. B =0 -2 answer: [B| = -20 -21
A: Here is the detailed explanation of the solution
Q: H.W Find the Adjoint to the following matrix E = 1
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A: Code to copy %1syms x y z weqns = [2*x + 4*y - 5*z + 3*w == -33, 3*x + 5*y - 2*z + 6*w == -37,x -…
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Q: Generate matrices A, B and C by: >A = fix(10*rand (2,3)), »B = fix(10*rand (2,3)); >C = fix(10*rand…
A: Part A clc % generate matrices A= fix(10*rand(2,3)) B=fix(10*rand(2,3)) C = fix(10*rand(3,3)) %…
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- Enter the 5 × 5 Hilbert matrix using MATLAB software 1 1/ 2 1/ 3 1/ 4 1/ 5 1/ 2 1/ 3 1/ 4 1/ 5 1/ 6 1/ 3 1/ 4 1/ 5 1/ 6 1/ 7 1/ 4 1/ 5 1/ 6 1/ 7 1/ 8 1/ 5 1/ 6 1/ 7 1/ 8 1/ 9 H i) Find the determinant of H. ii) Find the transpose and inverse of H iii) Using the commands in the text, find the dimensions of H, the column sums, and the row sums of H.Consider the following problem. INPUT: Positive integers r1, ··· , rn and c1, ··· , cn . OUTPUT: An n by n matrix A with 0/1 entries such that for all i the sum of the ith row in A is ri and the sum of the ith column in A is ci , if such a matrix exists. Think of the problem this way. You want to put pawns on an n by n chessboard so that the ith row has ri pawns and the ith column has ci pawns. Consider the following greedy algorithm that constructs A row by row. Assume that the first i-1 rows have been constructed. Let aj be the number of 10 s in the jth column in the first i-1 rows. Now the ri columns with with maximum cj -aj are assigned 1’s in row i, and the rest of the columns are assigned 00 s. That is, the columns that still needs the most 1’s are given 1’s. Formally prove that this algorithm is correct using an exchange argument.17. Let A and B be two n × n matrices. Show that a) (A + B)^t = A^t + B^t . b) (AB)^t = B^t A^t . If A and B are n × n matrices with AB = BA = In, then B is called the inverse of A (this terminology is appropriate because such a matrix B is unique) and A is said to be invertible. The notation B = A^(−1) denotes that B is the inverse of A.
- Consider the matrix multiplication C = AB. A matrix W is called a witness matrix with the following conditions: • If ci j = 0, then wi j = 0.• If ci j = 1, then wi j = k where aik = bkj = 1. make code to displays two Booelan matrices A and B and their productC. Note that we define these matrices with 0 and 1 entries and declare their typesas boolean with dtype = bool statement after specifying the entries. Alternatively,we could have specified theses matrices with True and False entries. The booleanproduct C is then converted to integer by the astype method and both forms of Care printedI 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.Generate random matrices of size n × n where n = 100, 200, . . . , 1000.Also generate a random b ∈ Rnfor each case. Each number must beof the form m.dddd (Example : 4.5444) which means it has 5 Significant digits in total. Perform Gaussian elimination with and withoutpartial pivoting for each n value (10 cases) above. Report the numberof additions, divisions and multiplications for each case in the form ofa table. No need of the code and the matrices / vectors. Deliverable(s): Two tabular columns indicating the number of additions, multiplications and divisions for each value of n, for with andwithout pivoting in Python
- 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…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.I do not understand this expression. so is c[i][j] += a[i][h] * b[h][j] mean c[i][j] = a[i][h] * b[h][j] + c[i][j]?? ; We do not know about the + matrix c right?
- /*** We will assume that `matrixA` and `matrixB` are valid 2D arrays of* `int`s. Each matrix is rectangular, with each row having the same number* of columns.** First, we need to make sure the matrices are compatible. Given `numRows X* numColumns` for each matrix `A` and `B`, if `A` is `m x n`, then `B` must* be `n x p`. That is the ``inner`` dimensions (lengths) must match.** If number of columns in `matrixA` does NOT equal the number of rows in* `matrixB`, then return `null`. That is, not output is created.** Assuming the dimensions are consistent, then we create a 2D output array* that is `m x p`, that is `numRowsA X numColumnsB`.** To calculate each element of the output matrix, we multiply the rows of* `A` by the columns of `B` and sum them up.** For example, let for integer values be given by lower case letters, let* `A` be a 2 x 3 matrix, and `B` a 3 x 3 matrix. The inner dimensions are* consistent, so we can multiply.** <pre>[a, b ,c]A = [d, e, f][p, q, r]B = |s, t, u|[v,…(20pts) Consider the matrixA =−2 11−10 5(a) Determine, by hand, an SVD of A, A = UΣVT. The SVD is not unique,so find the one with the minimum number of minus signs in U and V . List thesingular values σ1 and σ2, and the left and right singular vectors.(b) Find A−1 not directly, but via the SVD. Check your result by typing inv(A)in MATLAB or calculating A−1 by other methods.(c) Find the eigenvalues λ1 and λ2 of A. Verify that detA = λ1λ2 and |detA| =σ1σ2Matrix multiplication plays an important role in a number of applications. Two matrices can only be multiplied if the number of columns of the fi rst matrix is equal to the number of rows in the second.Let’s assume we have an m × n matrix A and we want to multiply it by an n × p matrix B. We can express their product as an m × p matrix denoted by AB (or A ⋅ B). If we assign C = AB, and ci,j denotes the entry in C at position (i, j), then for each element i and j with 1 ≤ i ≤ m and 1 ≤ j ≤ p. Now we want to see if we can parallelize the computation of C. Assume that matrices are laid out in memory sequentially as follows: a1,1, a2,1, a3,1, a4,1, ..., etc.Assume that we are going to compute C on both a single core shared memory machine and a 4-core shared-memory machine. Compute the speedup we would expect to obtain on the 4-core machine, ignoring any memory issues.Repeat above Exercise, assuming that updates to C incur a cache miss due to false sharing when consecutive elements are in a…