Problem Solving with C++ (9th Edition)
Problem Solving with C++ (9th Edition)
9th Edition
ISBN: 9780133591743
Author: Walter Savitch
Publisher: PEARSON
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Chapter 14, Problem 2P

Explanation of Solution

Recursive version of the function “indexOfSmallest”:

The recursive version of the function “indexOfSmallest” is shown below:

/* Recursive function definition for compute index of smallest element */

int indexOfSmallest(const int a[], int startIndex, int numberUsed)

{

    /* Assign minimum to array of starting index */

    int min = a[startIndex];

   /* If starting index is equal to "numberUsed-1", then */

    if(startIndex == numberUsed - 1)

        /* Returns the starting index */

        return startIndex;

   /* Otherwise recursively call the function "indexOfSmallest" */

   int indexOfMin = indexOfSmallest(a, startIndex+1, numberUsed);

   /* If the value of "min" is greater than "a[indexOfMin]" */

    if(min > a[indexOfMin])

        /* Returns index of minimum value */

        return indexOfMin;

    //Otherwise

    else

        /* Returns the starting index */

        return startIndex;

}

Complete executable program code:

The modified complete code is implemented for given function is given below:

//Header file

#include <iostream>

//Function declaration

void fillArray(int a[], int size, int& numberUsed);

//Precondition: size is the declared size of the array a.

//Postcondition: numberUsed is the number of values stored in a.

//a[0] through a[numberUsed - 1] have been filled with

//nonnegative integers read from the keyboard.

void sort(int a[], int numberUsed);

//Precondition: numberUsed <= declared size of the array a.

//The array elements a[0] through a[numberUsed - 1] have values.

//Postcondition: The values of a[0] through a[numberUsed - 1] have

//been rearranged so that a[0] <= a[1] <= ... <= a[numberUsed - 1].

void swapValues(int& v1, int& v2);

//Interchanges the values of v1 and v2.

int indexOfSmallest(const int a[], int startIndex, int numberUsed);

//Precondition: 0 <= startIndex < numberUsed. Referenced array elements have

//values.

//Returns the index i such that a[i] is the smallest of the values

//a[startIndex], a[startIndex + 1], ..., a[numberUsed - 1].

//Main function

int main( )

{

    //For standard input and output

    using namespace std;

    //Prompt statement

   cout << "This program sorts numbers from lowest to highest.\n";

    //Declare variables

    int sampleArray[10], numberUsed;

    //Call fill array function

    fillArray(sampleArray, 10, numberUsed);

    //Prompt statement

    cout << "Index of minimum number in given array: ";

    //Call the function "indexOfSmallest"

   cout << indexOfSmallest(sampleArray, 0, numberUsed) << endl;

    //Call the function "sort"

    sort(sampleArray, numberUsed);

    //Prompt statement

    cout << "In sorted order the numbers are:\n";

    //Display the sorted number using "for" loop

    for (int index = 0; index < numberUsed; index++)

    cout << sampleArray[index] << " ";

    cout << endl;

    return 0;

}

//Uses iostream:

//Function definition for fill array

void fillArray(int a[], int size, int& numberUsed)

{

    //For standard input and output

    using namespace std;

    //Prompt statement

   cout << "Enter up to " << size << " nonnegative whole numbers.\n" << "Mark the end of the list with a negative number...

Students have asked these similar questions
Design a dynamic programming algorithm for the Longest Alternating Subsequence problem described below: Input: A sequence of n integers Output: The length of the longest subsequence where the numbers alternate between being larger and smaller than their predecessor The algorithm must take O(n²) time. You must also write and explain the recurrence. Example 1: Input: [3, 5, 4, 1, 3, 6, 5, 7, 3, 4] Output: 8 ([3, 5, 4, 6, 5, 7, 3, 4]) Example 2: Input: [4,7,2,5,8, 3, 8, 0, 4, 7, 8] Output: 8 ([4, 7, 2, 5, 3, 8, 0,4]) (Take your time with this for the subproblem for this one)
Design a dynamic programming algorithm for the Coin-change problem described below: Input: An amount of money C and a set of n possible coin values with an unlimited supply of each kind of coin. Output: The smallest number of coins that add up to C exactly, or output that no such set exists. The algorithm must take O(n C) time. You must also write and explain the recurrence. Example 1: Input: C24, Coin values = = [1, 5, 10, 25, 50] Output: 6 (since 24 = 10+ 10+1+1 +1 + 1) Example 2: Input: C = 86, Coin values = [1, 5, 6, 23, 35, 46, 50] Output: 2 (since 86 = 46+35+5)
Design a dynamic programming algorithm for the Longest Common Subsequence problem de- scribed below Input: Two strings x = x1x2 xm and y = Y1Y2... Yn Output: The length of the longest subsequence that is common to both x and y. . The algorithm must take O(m n) time. You must also write and explain the recurrence. (I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk) Example 1: Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw' Output: 6 ('ghnost' is the longest common subsequence to both strings) Example 2: Input: x = 'ahshku' and y = ‘asu' Output: 3 ('asu' is the longest common subsequence to both strings)
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