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Question 17 Aa
.a matrix 4x4 partitioned in 4 2x2 matrix then find the determinant and sum of each 2 by 2 matrix (java)
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- MATLAB questions, 3 simple ones Lets say I have a 100 by 100 matrix consisting random numbers I want to: Find the column that contains most number divisible by 8. There are ‘special sequences’ in the matrix where the first 2 numbers (across the row) add to give the right most number (for example numbers 2, 6, 8…where 2+6 = 8) Find out how many of these ‘special sequences’ there are in the matrix. For eg, 3 numbers are horizontally adjacent in the matrix; 2, 4, 34. The product of these is 272. Find the largest product of 3 adjacent horizontal numbers in the matrix. (loop through matrix) Will give thumbs up!A 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 + BTGiven a square matrix of size ?×?n×n 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. def sum_of_diagonals(matrix): return
- Create a 4 x 4 matrix whose diagonal elements are all one (1's). Name it as matrix "C". Show your solutions using Python codes [Side note : I kinda need to compare our code so if you can code it in google collab, that would be nice. ]List Variations - Suggest some real-life applications where Sparse Matrices can be implemented. Selecting from non-linked options as well as linked options, discuss your choice in terms of possible row and column operations on the matrix and consider efficiency issues. (dont put code but pseudo) something that not about A thin matrix is outlined to be a matrix containing a high proportion of components that area unit zeros. Sparse matrices of large order are of nice interest and application in science and industry; as an example, electrical networks, structural engineering, power distribution, reactor diffusion, and solutions to differential equations whereas conclusions among this paper ar primarily drawn considering orders of bigger than a thousand, a lot of ~s applicable to distributed matrices of smaller orders within the a whole lot. Because of increasing use of enormous order thin matrices and therefore the tendency to try to unravel larger order issues, great attention must…Correct answer only else downvoted. Let ai be how many numbers i (1≤i≤k) you have. An n×n matrix is called beautiful if it contains all the numbers you have, and for each 2×2 submatrix of the original matrix is satisfied: The number of occupied cells doesn't exceed 3; The numbers on each diagonal are distinct. Make a beautiful matrix of minimum size. Input The first line contains a single integer t (1≤t≤10000) — the number of test cases. The first line of each test case contains 2 integers m and k (1≤m,k≤105) — how many numbers Nastia gave you and the length of the array a, respectively. The second line of each test case contains k integers a1,a2,…,ak (0≤ai≤m, a1+a2+…+ak=m), where ai is how many numbers i you have. It's guaranteed that the sum of m and k in one test doesn't exceed 2⋅105. Output For each t test case print a single integer n — the size of the beautiful matrix. In the next n lines print n integers bi,j (0≤bi,j≤k; if position is empty, print bi,j=0) —…
- You will be given a square matrix of N rows and N columns (1 <= N <= 1000) containing positive and negative integers with absolute value not larger than 1000. You are required to compute the greatest sum achievable by walking a path, starting at any cell of the matrix and always moving downwards or rightwards. Additionally, you have to report the number of times that value is achievable. N will be in the first line of the input. N lines follow with N integers each. You should output a single line with two integers separated by a single blank space: first one is the greatest sum, second one is the number of times this value can be reached.you will be given a square matrix of N rows and N columns (1 <= N <= 1000) containing positive and negative integers with absolute value not larger than 1000. You are required to compute the greatest sum achievable by walking a path, starting at any cell of the matrix and always moving downwards or rightwards. Additionally, you have to report the number of times that value is achievable. N will be in the first line of the input. N lines follow with N integers each. You should output a single line with two integers separated by a single blank space: first one is the greatest sum, second one is the number of times this value can be reached. Case 1: For the input provided as follows: 53 1 -2 1 1-6 -1 4 -1 -41 1 1 1 12 2 2 2 21 1 1 1 1 Output of the program will be: 15 1 Case 2: For the input provided as follows: 31 1 12 2 23 3 3 Output of the program will be: 12 1okl ook sk ook ok o st s ook skl ok sk s ki sl ok sk ok sk s ok ks ok sk ok ook ok 01 (A) Create the following matrix K K= K = 0.25 0.5 0:75 1:0 125 15 1:75 2 4 6 8 10 12 14 25 30 35 40 45 50 55 And answer the following: (a) Create a matrix Ga such that its first row includes the elements of the second column of K followed by the elements of the fifth column of K, the second row of Ga include the first six elements of the second row of K, and the third row of Ga includes the last six elements of the third row of K. (b) Create a matrix Gb in which the first two rows and columns 3 through 6 of K.
- Assuming that you have a non-empty matrix C of size n x m (assume n > 2 and m > 2; assume n and m are variables present in Workspace) available in your Workspace will this command: C(2,1:end) = C(end-cos(0)+log(1),1:m) replace replace values of all elements of second row of C with corresponding values of all elements of last but one row of matrix C? Yes NoMatrix 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…An example of outputEnter the corresponding number for your desired operation: 1 – get a new matrix; 2 – add two matrices; 3 – subtract a matrix from another; 4 – multiply two matrices; 5 – print matrix; 6 – end the program1A matrix with 0X0 is created. Enter the number of rows and the number of columns for this new matrix: 34Enter the values:47931 67 5 19100 99 3 17Thank you. You now have total 1 matrices in system.Enter the corresponding number for your desired operation: 1 – get a new matrix; 2 – add two matrices; 3 – subtract a matrix from another; 4 – multiply two matrices; 5 – print matrix; 6 – end the program5Enter the matrix number for printing:1The input is invalid.Enter the corresponding number for your desired operation: 1 – get a new matrix; 2 – add two matrices; 3 – subtract a matrix from another; 4 – multiply two matrices; 5 – print matrix; 6 – end the program