Introduction to Algorithms
Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 5.3, Problem 4E
Program Plan Intro

To show that each element A[i] has a 1/n probability of winding up in any particular position in B and also show that resulting permutation is not uniformly random.

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+ program to read 4*4 2D-array, then update each , and then find the summation of even elements wi
Pseudo Code shown in Figure Q1(a) is an algorithm for binary searching for an array with n number of elements. By applying this algorithm, show step by step approach on how to find number 11 in an array as depicted in Figure Q1(b). low + 0 high e n-1 while (low s high) do ix + (low + high) /2 if (t = Alix)) then return ix else if (t < A[ix]) then high e ix - 1 else low + ix + 1 return -1 Figure Ql(a) 2 4 6 9 11 12 | 25 [0] [1) [2] [3] (4) [5) [6] Figure Q1(b)
Sparse matrix-vector multiplication in Python is similar to numpy.dot operation, however the provided @ operator is used. Let us consider multiplying a 5 by 5 sparse matrix with a 5 by 3 sparse matrix shown below. 01000 00010 10001 10000 01000 100 001 x 000 010 100 The Python code to implement multiplication of these two sparse matrices
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