Swift Coding Test Course, Bubble Sort

1. Problem Definition

Write a function to sort a given integer array in ascending order.
You must implement it using the bubble sort algorithm, which is the most basic sorting method,
and include the process of optimizing the code considering time complexity and space complexity.

Problem: Given an arbitrary integer array, write a Swift function that uses
the bubble sort algorithm to sort this array in ascending order.

2. Overview of Bubble Sort Algorithm

Bubble sort is a simple sorting algorithm that works by comparing two adjacent elements and
swapping them if they are not in the correct order. This process is repeated for all indices of the array,
and in the worst case, it has a time complexity of O(n²) when the size of the array is n.
The main characteristics of bubble sort are as follows:

  • Simple and easy to understand algorithm
  • Usually easy to implement and useful for small datasets
  • Worst case O(n²), average O(n²), best case O(n) (when already sorted)

3. Algorithm Steps

The basic method of using bubble sort is as follows:

  1. Start by comparing adjacent elements from the first element of the array.
  2. If the first element is greater than the second element, swap the two elements.
  3. Repeat this process until the end of the array.
  4. When you reach the end of the array, the largest element will move to the end of the array.
  5. Repeat the above steps n-1 times.

This process ensures that the largest element moves towards the end at each step.

Bubble Sort Implementation (Swift Code)


func bubbleSort(_ array: inout [Int]) {
    let n = array.count
    for i in 0.. array[j+1] {
                // Swap
                let temp = array[j]
                array[j] = array[j+1]
                array[j+1] = temp
                swapped = true
            }
        }
        // If no two elements were swapped by inner loop, then break
        if !swapped {
            break
        }
    }
}
    

4. Code Explanation

The above bubbleSort function takes an array as an argument and sorts it in ascending order.
Key Points:

  • inout keyword allows the function to modify the array directly.
  • The reason for using n-i-1 in the second for loop is that with each iteration the largest element moves to the end of the array.
    Therefore, the last element is already sorted and does not need to be checked.
  • The swapped variable checks if the sorting is already completed to reduce unnecessary iterations.

5. Testing and Example

Below is an example that tests the bubbleSort function.


var myArray = [64, 34, 25, 12, 22, 11, 90]
print("Before sorting: \(myArray)")

bubbleSort(&myArray)

print("After sorting: \(myArray)")
    

Running the above code will display the array before and after sorting.
This will confirm that the bubble sort algorithm has been implemented successfully.

6. Time Complexity and Optimization

The time complexity of bubble sort is O(n²) in the worst case.
Even when the array is already sorted, it can perform at O(n) in the best case.
To optimize this, the swapped variable can be introduced to avoid unnecessary iterations.

In Swift, using bubble sort for large arrays is inefficient.
In this case, it is recommended to use advanced sorting algorithms (e.g., Quick Sort, Merge Sort).

7. Conclusion

In this tutorial, we explored how to implement the bubble sort algorithm in Swift and its process.
Bubble sort is easy to understand and simple to implement, but its performance may degrade in real usage.
Therefore, when dealing with complex datasets, other algorithms should be considered.
In the next tutorial, we will cover the more efficient sorting algorithm called Quick Sort.

8. References

For a deeper understanding of the algorithm, please refer to the materials below:

Swift Coding Test Course, Bubble Sort Program 2

Hello! In this course, we will delve deeper into algorithms for preparing coding tests using Swift, specifically focusing on Bubble Sort. The problem we will solve is sorting an array, and we will implement this using the Bubble Sort algorithm. This course will include the following topics:

  • Explanation of the principles and workings of Bubble Sort
  • Implementation of the code in Swift
  • Examples of code execution
  • Suggestions for optimization and improvement
  • Analysis of the time complexity of Bubble Sort

1. What is Bubble Sort?

Bubble Sort is a very simple and intuitive sorting algorithm. It works by comparing two adjacent elements in an array and sorting them in order. This process can be visualized as the largest value “bubbling” up to the end of the array.

The Working Principle of Bubble Sort

  1. Start from the beginning of the array and compare two adjacent elements.
  2. If the first element is greater than the second, swap the two elements.
  3. Repeat this process until the end of the array.
  4. After completing one pass, the largest value moves to the end of the array.
  5. Repeat this process until the last element remains sorted.

2. Problem Definition

Given an integer array, sort this array in ascending order using Bubble Sort.

Input: [64, 34, 25, 12, 22, 11, 90]
Output: [11, 12, 22, 25, 34, 64, 90]

3. Implementation of Swift Code

Now, let’s write the code to solve this problem using Swift.

func bubbleSort(arr: [Int]) -> [Int] {
    var sortedArray = arr
    let n = sortedArray.count
    
    for i in 0.. sortedArray[j+1] {
                // Swap
                let temp = sortedArray[j]
                sortedArray[j] = sortedArray[j+1]
                sortedArray[j+1] = temp
            }
        }
    }
    return sortedArray
}

// Example execution
let array = [64, 34, 25, 12, 22, 11, 90]
let sortedArray = bubbleSort(arr: array)
print(sortedArray)  // Output: [11, 12, 22, 25, 34, 64, 90]

4. Code Execution Example

When we execute the above Swift code, the given array is successfully sorted. In this code, we use two nested for loops to compare all the elements of the array. This can be time-consuming, but the true advantage of Bubble Sort is its intuitive nature.

5. Optimization and Improvement Methods

Bubble Sort has a time complexity of O(n^2), which is inefficient. However, a few simple optimization techniques can be applied:

  • Early termination: If no swaps occur during a pass, the array is already sorted, so no further comparisons are necessary.
  • Reducing the range of comparisons: Elements at both ends that have already been passed don’t need to be compared in subsequent passes.

The code with these optimizations can be modified as follows:

func optimizedBubbleSort(arr: [Int]) -> [Int] {
    var sortedArray = arr
    let n = sortedArray.count
    var swapped: Bool
    
    for i in 0.. sortedArray[j+1] {
                // Swap
                let temp = sortedArray[j]
                sortedArray[j] = sortedArray[j+1]
                sortedArray[j+1] = temp
                swapped = true
            }
        }
        // If no swaps occurred, sorting is complete, so exit
        if !swapped {
            break
        }
    }
    return sortedArray
}

6. Time Complexity of Bubble Sort

The time complexity of Bubble Sort is O(n^2) in both average and worst-case scenarios. The best case (when the array is already sorted) can be O(n), making it more efficient. For this reason, Bubble Sort may be effective on small data sets, but in real applications, it is common to use more efficient sorting algorithms.

Conclusion

In this course, we had the opportunity to implement Bubble Sort using Swift and learn the basics of algorithm sorting. By solving basic problems like sorting an array, we were able to understand the workings and time complexity of algorithms. In the next course, we will cover a more efficient sorting algorithm called Quick Sort. Thank you for being with us!

Swift Coding Test Course, Bubble Sort Program 1

Problem Description

Implement the bubble sort algorithm to sort the given integer array in ascending order.
Bubble sort works by comparing two adjacent elements and sorting them.
Repeat through all elements in the array, comparing each element with the next one and
repeatedly moving larger values to the back. This process continues until the array is sorted.

Example Input and Output

Input

            [64, 34, 25, 12, 22, 11, 90]
            

Output

            [11, 12, 22, 25, 34, 64, 90]
            

Bubble Sort Algorithm

Steps of the Algorithm

1. Let the length of the given array be n, and repeat n-1 times.
2. In each iteration, compare two adjacent elements.
3. If the current element is greater than the next element, swap their positions.
4. After comparing all elements, the largest number will be positioned at the end of the array.
5. Repeat this process until the array is sorted.

Swift Code Implementation

            
    func bubbleSort(array: inout [Int]) {
        let n = array.count
        for i in 0.. array[j+1] {
                    // Swap
                    let temp = array[j]
                    array[j] = array[j+1]
                    array[j+1] = temp
                }
            }
        }
    }

    var arr = [64, 34, 25, 12, 22, 11, 90]
    bubbleSort(array: &arr)
    print("Sorted array: \(arr)")
            
            

Code Explanation

In the code above, the bubbleSort function sorts the array passed as an argument.
The inout keyword allows the function to modify the array directly,
and the for loop iterates through all elements of the array. In each inner loop,
adjacent numbers are compared to change their order.

Efficiency Analysis

The time complexity of the bubble sort algorithm is O(n^2) in the worst case.
This arises from the nested loops, while the space complexity is O(1), using only constant space.
Therefore, it can be inefficient for large datasets.
However, bubble sort is often used for educational purposes due to its simplicity and ease of understanding.

Expected Benefits

Through bubble sort, students can learn the basic concepts of arrays, loops, and conditionals.
This algorithm serves as a good starting point for a fundamental understanding of other sorting algorithms
and can be used as foundational knowledge when learning more complex data structures and algorithms.

Conclusion

In this lecture, we learned how to implement the bubble sort algorithm in Swift.
It is a simple algorithm, but it plays an important role in learning the basic concepts of programming.
In the next lecture, we will explore more efficient sorting algorithms.

© 2023 Swift Coding Test Course

Swift Coding Test Course, Finding the Kth Number in an Array

Algorithm problems in coding tests often evaluate theoretical knowledge and practical problem-solving skills that are frequently used in actual work. In this article, we will discuss the problem of finding the Kth number in an array. This problem requires techniques for sorting an array and extracting values from specific indices.

Problem Description

Given an integer array array and an integer k, write a function that returns the Kth number after sorting array in ascending order. The Kth number uses 1-based indexing.

Input

  • array: An array containing integers, e.g., [3, 1, 2, 4, 5]
  • k: A positive integer to find the Kth number in the array

Output

Output the Kth number after sorting array. If K is greater than the length of the array, return -1.

Example

Input:
    array = [3, 5, 2, 1, 4]
    k = 3

    Output:
    3
    

Solution

To solve this problem, we can proceed with the following steps:

  1. Sort the given input array.
  2. Reference the Kth number from the sorted array and return it.

Step-by-step Solution

Step 1: Sorting the Array

There are several ways to sort an array. Common sorting algorithms include Quick Sort, Merge Sort, and Insertion Sort. However, using the built-in sorting function provided by Swift allows for convenient sorting.

Step 2: Finding the Kth Number

To find the Kth number in the sorted array, we return the value at the K-1 index. If K exceeds the length of the array, we should return -1.

Swift Code Implementation

func findKthNumber(array: [Int], k: Int) -> Int {
        let sortedArray = array.sorted()
        guard k > 0 && k <= sortedArray.count else {
            return -1
        }
        return sortedArray[k - 1]
    }

// Test
let array = [3, 5, 2, 1, 4]
let k = 3
print(findKthNumber(array: array, k: k)) // Output: 3
    

Complexity Analysis

Time Complexity: The time complexity for sorting is O(n log n), where n is the length of the array.

Space Complexity: The additional space complexity for sorting is O(n).

Conclusion

Through this problem, we learned about sorting arrays and accessing specific indices. This foundational thinking can be applied to other algorithm problems as well.

If you want more problem-solving and algorithm tutorials, please continue to visit the blog. Thank you!

Swift Coding Test Course, Arrays and Lists

In this course, we will address algorithm problems using arrays and lists with the Swift programming language. An array is a data structure that can hold multiple pieces of data of the same type, while a list is a structure that stores data in a contiguous block of memory. Understanding the properties of arrays and lists can greatly assist in solving various algorithm problems.

Problem Description

Problem 1: Intersection of Two Arrays

Write a function to find the common elements and compute the intersection of the two given arrays. The arrays may have duplicate elements, and the resulting array should not include duplicate elements.

For example, let’s assume we are given the following two arrays.

let array1 = [1, 2, 3, 4, 5]
let array2 = [4, 5, 6, 7, 8]

In this case, the output of the function should be [4, 5].

Problem Solving Process

Problem Analysis

To approach this problem, we need to think of an algorithm to compare the elements of the two arrays to find the common ones. A basic approach would be to iterate through both arrays using a loop to find common elements. However, this method could lead to a time complexity of O(n^2), which may reduce performance. Therefore, we should use a more efficient method.

Efficient Approach

To enhance efficiency, we can utilize sets. A set is a data structure that allows each element to be stored uniquely, providing fast search performance. Here is a summary of the solution process.

  1. Convert the first array into a set. This has a time complexity of O(n).
  2. Iterate through the second array while checking for existence in the set. This also has a time complexity of O(m).
  3. Create a new array to store the common elements and return the result.

Code Implementation

Below is the Swift code written using the above approach.

func intersection(array1: [Int], array2: [Int]) -> [Int] {
    var set = Set(array1) // Convert the first array into a set
    var result = [Int]() // An array to hold the result
    
    for element in array2 {
        if set.contains(element) { // Check if the element from the second array is in the set
            result.append(element) // If it is, add it to the result array
            set.remove(element) // Remove from the set to avoid duplicates
        }
    }
    
    return result
}

// Example execution
let array1 = [1, 2, 3, 4, 5]
let array2 = [4, 5, 6, 7, 8]
let result = intersection(array1: array1, array2: array2)
print(result) // Output: [4, 5]

Time Complexity Analysis

Analyzing the time complexity of the above solution, converting the first array into a set takes O(n), and iterating through the second array takes O(m). Therefore, the total time complexity is O(n + m). This method is much more efficient than the existing O(n^2) method.

Problem Variations

By modifying the original problem, if the elements of the arrays are sorted, we can further improve the performance of the solution by utilizing binary search. Searching for elements in a sorted array can enhance performance to O(log n). Additionally, if you are familiar with the concept of binary search, you can utilize it to improve search speed.

Conclusion

In this course, we have solved the problem of finding the intersection of two arrays using arrays and lists. Understanding and utilizing arrays and lists, which are fundamental data structures in programming, is crucial. Continue to tackle various algorithm problems to enhance your skills.

© 2023 Swift Coding Test Course