Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)
Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)
11th Edition
ISBN: 9780134670942
Author: Y. Daniel Liang
Publisher: PEARSON
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Chapter 22.4, Problem 22.4.2CP
Program Plan Intro

Time complexity to add two n x m matrices:

The time complexity to add two n x m matrices is: “ O(n * m) ”.

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Following code is a part of an algorithm where A = [a; ;] is an N x N matrix with a;i = a(i, j), x, y, b are vectors of length N. Count the total number of operations (addition/subtraction and multi- plication/division) for the code below in terms of N (Give a simplified answer in terms of N): Begin Algorithm fct = 2 sum for i = 1 to N x(i) y(i) = Fa end i loop for j = 1 to N suml = 0 for k = j+1 to N suml = suml+a(j,k) * y(k) end k loop r(j) end j loop sum = 10 + sum1 * fct b(j)-sum a(j, j) End Algorithm
Array P = [40, 30, 25, 10, 35, 5, 20] Suppose the dimension of 6 matrices (A1, A2 … A6) are given by array P A1 is a P[0] x P[1] matrix A2 is a P[1] x P[2] matrix . . . A6 is a P[5] x P[6] a) Find the minimum number of scalar multiplications necessary to calculate the product of all the 6 matrices (A1.A2.A3.A4.A5.A6) and show the parenthesization for this multiplication. • Solve the problem manually (you need not to write any code) using bottom-up tabulation approach. Compute and show the ‘m’ matrix and ‘s’ matrix to solve your problem.
We are given a code symmetry, that takes an n x n matrix as its argument. It returns true if the matrix is symmetric and false if it is not. The run time of the code is calculated by counting how many times the /= comparison is executed.  procedure symmetry(M)      for x:=1 to (n-1)            for y:=(i+1) to n               if mxy /= myx then return false               else return true (a) Calculate the best case run time for symmetry (will be a number). (b) Calculate the worst case run time for symmetry (will be a polynomial in n, it will be helpful to draw matrices of different sizes and compare the number of comparisons to find a pattern).  (c) Determine the worst case run time in big O notation (d) Using the following definition of big O notation, prove the answer to (c) Definition: Let f and g be functions from the set of integers or the set of real numbers to the set of real numbers. We say that f(x) is O(g(x)) if there are constants C and k such that whenever x > k. [This is…

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Introduction to Java Programming and Data Structures, Comprehensive Version (11th Edition)

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