Basically I have to write a program that creates a matrix of N by N and fills it with random numbers and calculates the sum of all the elements below the main diagonal of the matrix. I already did everything except the sum of elements and this is what I have import random def llenar_matriz(n): ..

#### Category : matrix

I used svd of a matrix A of size 64*64 in Python as follows. U,D,V=svd(A) Now, D is an array of all eigenvalues of A. How to rewrite all values in D as a diagonal matrix? For example, if D=[d1,d2,d3,d4], how to have D_new=[[d1,0,0,0],[0,d2,0,0],[0,0,0,d3],[0,0,0,d4]]? Source: Python..

I have two NxM arrays in numpy, a and b. I would like to perform a vectorized operation that does the following: c = np.zeros(N) for i in range(N): for j in range(M): c[i] += a[i, j]*b[i, j] Stated in a more mathematical way, I have two matrices A and B, and want to compute ..

Given an NxN matrix W, I’m looking to calculate an NxN matrix C given by the equation in this link: https://i.stack.imgur.com/dY7rY.png, or in LaTeX $$C_{ij} = max_k bigg{ sum_l bigg( W_{ik}W_{kl}W_{lj} – W_{ik}W_{kj} bigg) bigg}.$$ I have tried to implement this in PyTorch but I’ve either encountered memory problems by constructing an intermediate NxNxN 3D ..

I have a dataset with data in which at each time a value from a given user is achieved. I would like to create a dataframe for each user ID or a matrix of vectors where I can add a value independently. For instance: t0 t1 t2 t3 t4 t5 … tM User1 2 3 ..

Im newbbie in code. I would like to ask something about numpy matrix. Right now, I need to save a matrix values which I import with fileinput() from a .tqc doc. ”’ with fi.input(files=[r’D:RANDOMJUSTEXAMPLEMEfile.tqc’]) as f: for line in f: dados = line.split() #dividir os dados do txt x = dados[2:3] y = dados[4:5] z ..

I am looking for a faster alternative for the following code. rows = 30 cols = 10**3 v_mat = np.random.rand(rows,cols) a_mat = np.random.rand(cols,cols) b_vec = (v_mat @ a_mat @ v_mat.T).diagonal() Source: Python..

Suppose I have a simple 2d array representing a sudoku board [[0 0 0 0 0 0 0 5 0] [2 0 7 0 0 9 0 0 0] [6 0 0 3 5 1 0 0 0] [5 0 0 0 0 0 0 1 0] [0 0 3 0 0 0 0 0 ..

I need to compute the covariance between each row of two different matrix, i.e. the covariance between the first row of first matrix with first row of second matrix, and so on till the last row of both matrix. I am able to do it without numpy with the code attached below, my question is: ..

A matrix can be represented in Python using a list of lists. The elements of the lists would be the row values, and the elements of the nested lists would be the column values. Write a program that takes the list [[1, 2, 3], [4, 5, 6], [7, 8, 9]] and prints it out as ..

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