In this MATLAB cod >>K=rand (m, n) the output K is Vector of length m O Vector of length n Matrix of size m*n O Scalar number If matrix A is define in MATLAB, R in -----this cod >> R=A[], refer to Matrix contains all elements of A O Empty matrix O Scalar value Matrix contains zeros number

In this MATLAB cod >>K=rand (m, n) the output K is Vector of length m O Vector of length n Matrix of size m*n O Scalar number If matrix A is define in MATLAB, R in -----this cod >> R=A[], refer to Matrix contains all elements of A O Empty matrix O Scalar value Matrix contains zeros number

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Consider the following C code fragment that does matrix transpose: int i, j; for(i = 0; i < M; i++) for(j = 0; j < N; j++) Bijl(i] = A[i] [jÍ; Complete the following optimized version of matrix transpose. Assume that values for V and W are chosen such that a WxV block of matrix B and a VxW block of matrix A fit in cache at the same time. int i, j, k, l; for(i = 0; i < M; i+=V) for(j = 0; j < N; j+=_) for (k = ; k <_; k++) for(l =_; l < j+W; l++) B[UO = ALU; Blank 1: Blank 2: Blank 3: Blank 4: Blank 5: Blank 6: Blank 7: Blank 8: (NOTES: Blanks are ordered top to bottom, left to right. Exact C code is expected in the blanks. Avoid including any unnecessary blank spaces in your answers.)
Suppose we have three points in a two dimensional space: (3,1), (2,1), and (7,7). We want to perform PCA on these points, so we construct a 2-by-2 matrix whose eigenvectors are the directions that best represent these three points. Construct this matrix, as outlined in the PCA algorithm discussed in class, and identify, in the list below, one of its elements. O a) 8 O b) 9 c) 24 d) 18
Derive the worst case upper bound of the following algorithm. Matrics_Multiplication (A, B) { I пхmmatrixА // m × p matrix B I пxрmatrixС // C= AB 1. Let C be a new matrix of the appropriate size 2. For i from 1 to n: For j from 1 to p: 3. 4. Let sum = 0 For k from 1 to m: 5. 6. Set sum - sum+A¡k × Brj 7. Set Cij - sum 8. Return C }
Q1 // You are given a matrix u = [2;1;1;1] , in Matlab and a second matrix v = [0.5;1;0;0)]. We now perform the matrix- by - matrix product " u times vT ", w = u(vT) .. (1) ,where recall that Tdenotes transpose. (choose 10 only) 1- The size of the matrix w is А. 1 х 1 В. 1 х4 С. 4х 4 D. 4 x 1 2- The operation of equation (1) is implemented in Matlab as A. w = u."v B. w = v. *u C. w = u'*v D. w = u*v' 3- The value of w(1,1) is А. О.5 В. 1.0 С. 2.5 D. 2.0 4- The size of the matrixu is А. 1х1 В. 1 х4 С. 4x 4 D. 4 x 1 We now perform the matrix - by - matrix product "uT times v ", z = (uT)v .. (2), where again T denotes transpose. 5- The size of the matrix z is А. 1х 1 В. 1 х 4 C. 4 x 4 D. 4 x 1 6- The operation of equation (2) is implemented in Matlab as A. Z = u.*v B. Z = v.*u C. z = u'*v D. z = u*v
How can the function, matrix_multiply_unopt, be optimized and rewritten to run faster using with n having a size of 1600? struct fn_args { int n; int *mem1; int *mem2; int *mem3; }; void matrix_multiply_unopt(struct fn_args *args) {int i, j, k, n;int *mat1, *mat2, *res; n = args->n;mat1 = args->mem1;mat2 = args->mem2;res = args->mem3; for(i = 0; i < n; i++){for(j = 0; j < n; j++){res[i * n + j] = 0;for(k = 0; k < n; k++){res[i * n + j] += mat1[i * n + k] * mat2[k * n + j];}}}}
using matlab. Solve the question quickly
matlab
Problem 3 What is the time complexity of the following C language function, which assumes that matrix[][] is an nxn matrix. int addMatrix(int ** matrix, int n) { int sum = 0; int k; for (k = e 2; k< n; k=k*k) { sum = sum + k; %3D } for (int m = 1; m*m < k; m=m+1) { for (int r = 0; r< n; r = r+m) { sum += r; } } }