Sort with Carry. It is often useful to sort an array are1 into ascending order, while simultancously carrying along a second array arr2. In such a sort, each time an element of array arrl is exchanged with another element of arr1, the corresponding elements of array arr2 are also swapped. When the sort is over, the elements of array arri are in ascending order, whereas the elements of array arr 2 that were associated with particular elements of array arrl are still associated with them. For example, suppose we have the following two arrays. \(\begin{array}{ccc}\text { Element } & \text { arr1 } & \frac{\operatorname{arc} 2}{1 .} \\ 1 . & 6 . & 0 . \\ 2 . & 1 . & 10 . \\\ 3 . & 2 . & 10 .\end{array}\) After sorting array arrl while carrying along array arr2, the contents of the two arrays will be \(\begin{array}{ccc}\text { Element } & \text { arr1 } & \text { are2 } \\ 1 . & 1 . & 0 . \\ 2 . & 2 . & 10 . \\ 3 . & 6 . & 1 .\end{array}\) Write a function to sort one real array into ascending order while carrying along a second one. Test the function with the following two 9 -element arrays. $$ \begin{aligned} &a=[-1, \quad 12, \quad-6, \quad 17, \quad-23,0,5, \quad 1,-1]: \\ &b=[-31,101,36,-17, \quad 0,10,-8,-1,-1]= \end{aligned} $$

Short Answer

Expert verified
Here's a Python function using the bubble sort algorithm to sort array 'a' and simultaneously carry along array 'b': \( \begin{verbatim} def sort_with_carry(a, b): n = len(a) for i in range(n): for j in range(0, n-i-1): if a[j] > a[j+1]: a[j], a[j+1] = a[j+1], a[j] b[j], b[j+1] = b[j+1], b[j] print("Sorted array 'a': ", a) print("Carried along array 'b': ", b) a = [-1, 12, -6, 17, -23, 0, 5, 1, -1] b = [-31, 101, 36, -17, 0, 10, -8, -1, -1] sort_with_carry(a, b) \end{verbatim} \) The output will be: Sorted array 'a': \([-23, -6, -1, -1, 0, 1, 5, 12, 17]\) Carried along array 'b': \([0, 36, -31, -1, 10, -1, -8, 101, -17]\)

Step by step solution

01

Understand the Problem

The problem is asking for sorting the elements of one array in an ascending order and a simultaneous change in the second array. Every time an exchange of elements happens in array1, the corresponding elements of array2 need to be exchanged as well.
02

Create the Function

In Python, we create a function that accepts two arrays as input. Use bubble sort algorithm to sort the first array 'a'. Bubble sort works by repeatedly swapping the adjacent elements if they are in wrong order. This can be achieved with the help of a for loop and an if statement. In the if statement, check if the current 'a' value is greater than the next 'a' value. If true, swap both these 'a' values and the corresponding 'b' values.
03

Sort Array 'a' while Carrying Along Array 'b'

In Python, use a for loop that iterates through the entire list of 'a'. For each iteration, compare the existing element with the next element. If the existing element is greater than the next one, swap the two in 'a'. Simultaneously do the corresponding swap in 'b'. This ensures that the relationship between 'a' and 'b' remains intact even after sorting.
04

Test the Function

Call the function with the two provided 9-element arrays to test if it works as expected.
05

Python Function

Here is a python function uses the bubble sort algorithm to sort array 'a' and simultaneously carries along array 'b'. \[ \begin{verbatim} def sort_with_carry(a, b): n = len(a) for i in range(n): for j in range(0, n-i-1): if a[j] > a[j+1]: a[j], a[j+1] = a[j+1], a[j] b[j], b[j+1] = b[j+1], b[j] print("Sorted array 'a': ", a) print("Carried along array 'b': ", b) a = [-1, 12, -6, 17, -23, 0, 5, 1, -1] b = [-31, 101, 36, -17, 0, 10, -8, -1, -1] sort_with_carry(a, b) \end{verbatim} \] This code snippet will sort array 'a' in ascending order and carry along array 'b' as defined.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Bubble Sort Algorithm
The Bubble Sort Algorithm is a simple sorting algorithm that repeatedly steps through the list to be sorted, compares each pair of adjacent items, and swaps them if they are in the wrong order. The pass through the list is repeated until no swaps are needed, which indicates that the list is sorted.

It's called 'Bubble Sort' because with each iteration, the largest unsorted element 'bubbles up' to its correct position at the end of the list, just like a water bubble rises to the top. Although this algorithm is not efficient for large datasets, its simplicity makes it a beneficial learning tool for understanding the basics of sorting algorithms in computer science.

  • Simple to understand and implement
  • Performance: O(n^2) in the average and worst cases
  • Adaptive: Can improve to O(n) if the list is nearly sorted
  • Stable: Maintains the relative order of equal elements
Despite its downsides in efficiency, bubble sort provides a foundational understanding of how element comparison and swapping work in array sorting.
Python Programming
Python Programming is renowned for its readability and straightforward syntax, which makes it an excellent choice for beginners in coding. It's a high-level, interpreted language, meaning that the written code is not directly translated into machine-readable format at runtime, unlike compiled programming languages.

Key features of Python that benefit programming learners include:

  • Rich library ecosystem with extensive functionality
  • Support for multiple paradigms, including procedural, object-oriented, and functional programming
  • Dynamic type system and memory management
  • Readability and use of indentation to define code blocks
Python's simplicity allows students to focus more on problem-solving rather than complex syntax, making it an ideal platform for implementing and understanding algorithms like bubble sort.
Array Manipulation
Array Manipulation is a critical aspect of programming, involving operations such as accessing, inserting, deleting, and sorting elements in an array. Arrays are collections of items stored at contiguous memory locations. This structure makes it possible to access elements in constant time with an index.

Other important concepts in array manipulation include:

  • Iteration over elements, often using loops such as for or while
  • Comparing elements to determine their relative order
  • Swapping elements to reposition them within the array
  • Identifying and handling edge cases, like empty arrays or single-element arrays
Understanding how to manipulate arrays, using techniques such as bubble sort, enables students to tackle a wide range of problems where data organization and retrieval are key.

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Most popular questions from this chapter

Linear Least-Squares Fit. Develop a function that will calculate slope \(m\) and intercept \(b\) of the least-squares line that best fits an input data set. The input data points \((x, y)\) will be passed to the function in two input arrays, \(x\) and \(y\). (The equations describing the slope and intercept of the least- squares line are given in Example \(4.7\) in the previous chapter.) Test your function using a test program and the 20-point input data set given in Table 5.2.

Modify the selection sort function developed in this chapter so that it accepts a second optional argument, which may be either ' up ' or "down'. If the argument is 'up', sort the data in ascending order. If the argument is 'dewn', sort the data in descending order. If the argument is missing, the default case is to sort the data in ascending order. (Be sure to handle the case of invalid arguments, and be sure to include the proper help information in your function.)

When a function is called, how is data passed from the caller to the function, and how are the results of the function returned to the caller?

Rayleigh Distribution. The Rayleigh distribution is another random number distribution that appears in many practical problems. A Rayleighdistributed random value can be created by taking the square root of the sum of the squares of two normally distributed random values. In other words, to generate a Rayleigh-distributed random value \(r\) get two normally distributed random values \(\left(n_{1}\right.\) and \(\left.n_{2}\right)\), and perform the following calculation. $$ r=\sqrt{n_{1}^{2}+n_{2}^{2}} $$ a. Create a function rayleigh \((\mathrm{n}, \mathrm{m})\) that returns an \(\mathrm{n} \mathrm{x} \mathrm{m}\) array of Rayleigh-distributed random numbers. If only one argument is supplied [rayleigh \((\mathrm{n})\) ], the function should return an \(\mathrm{n} \times \mathrm{n}\) array of Rayleigh- distributed random numbers. Be sure to design your function with input argument checking and with proper documentation for the MATLAB help system. b. Test your function by creating an array of 20,000 Rayleigh-distributed random values and plotting a histogram of the distribution. What does the distribution look like? c. Determine the mean and standard deviation of the Rayleigh distribution.

Read Traffic Density. Function random0 produces a number with a uniform probability distribution in the range \([0.0,1.0)\). This function is suitable for simulating random events if each outcome has an equal probability of occurring. However, in many events the probability of occurrence is not equal for every event, and a uniform probability distribution is not suitable for simulating such events. For example, when traffic engineers studied the number of cars passing a given location in a time interval of length \(t\), they discovered that the probability of \(k\) cars passing during the interval is given by the equation $$ P(k, t)=e^{-\lambda t} \frac{(\lambda t)^{4}}{k !} \text { for } t \geq 0, \lambda>0, \text { and } k=0,1,2, \ldots $$ This probability distribution is known as the Poisson distribution: it occurs in many applications in science and engineering. For example, the number of calls \(k\) to a telephone switchboard in time interval \(t\), the number of bacteria \(k\) in a specified volume \(t\) of liquid, and the number of failures \(k\) of a complicated system in time interval \(t\) all have Poisson distributions. Write a function to evaluate the Poisson distribution for any \(k, t\), and A. Test your function by calculating the probability of \(0,1,2, \ldots, 5\) cars passing a particular point on a highway in I minute, given that \(\lambda\) is \(1.6\) per minute for that highway. Plot the Poisson distribution for \(t=1\) and \(\lambda=1.6\).

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