Algorithm for Matrix-Vector Multiplication 1: Input : matrix Am×n, vector xn 2: Output : product c ∈ R
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1: Input : matrix Am×n, vector xn
2: Output : product c ∈ R
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- Write pseudo-code algorithms for each of the matrix operations (matrix addition, scalar multiplication and product of two matrices)Given an NxN matrix of positive and negative integers, write code to find thesubmatrix with the largest possible sum.Write pseudo-code algorithms for each of the matrix operations (matrix addition, scalar multiplication and product of two matrices),and matrix should be 3*3
- Define the Six versions of matrix multiply ?Write pseudo-code methods for matrix addition, scalar multiplication, and matrix product on a 3x3 matrix.Given a 2-D square matrix: ant mat{3}[{3]={{1, 2 3} {4,586}, {7.8.9FF Write a function transpose which Create a 3*3 matrix trans and store the transpose of given matrix in it.And prxnt the ' transpose, IN C++.
- Consider a vector ('L', 'M', 'M', 'L', 'H', 'M', 'H', 'H'), where H stands for ‘high’, L stands for ‘low’, and M for ‘medium’ in rstudio. a. Convert this vector into an unordered factor. b. Convert this vector into an ordered factor with Low < Medium < High.We have a MxN 2D matrix. Initialize the array with user inputs. First, find the transpose of the matrix. Additionally, if it’s a square matrix, calculate the sum of right diagonal.Let y be a column vector: y = [1, 2, 3, 4, 5, 6] so that y.shape = (6,1). Reshape the vector into a matrix z using the numpy.array.reshape and (numpy.array.transpose if necessary) to form a new matrix z whose first column is [1, 2, 3], and whose second column is [4, 5, 6]. Print out the resulting array z.
- create a Python program that applies an inverse of 3x3 or 4x4 matrix and apply also its transpose.Find the matrix product of integer random elements and the size of each (4 x 2) of them.Find Matrix Chain multiplication for following four matrices (M1, M2, M3 and M4) using dynamic programming matrix = m1 m2 m3 m4 order of matrix= 4*3 3*5 5*2 2*6