How to Do Sorting in C++ & Sorting Techniques

Avatar

By squashlabs, Last Updated: Sept. 7, 2023

How to Do Sorting in C++ & Sorting Techniques

Introduction to Sorting in C++

Sorting is an essential operation in programming, allowing us to organize data in a specific order. In C++, there are various sorting techniques available that can be used to sort different types of data, such as numbers, strings, and objects. Understanding these sorting techniques and their implementation in C++ is crucial for efficient and effective programming.

Related Article: What is Test-Driven Development? (And How To Get It Right)

Sorting Basics: Definition and Importance

Sorting refers to the process of arranging elements in a particular order, such as ascending or descending. It is a fundamental operation in computer science and has wide applications in various domains, including data analysis, database management, and algorithmic problem-solving.

In C++, sorting is important for several reasons. Firstly, sorting allows us to search for elements efficiently using techniques like binary search. Secondly, it helps in organizing data for better readability and presentation. Lastly, sorting is often a prerequisite for other operations, such as merging or removing duplicates from a dataset.

Sort Function in C++: An Overview

C++ provides a built-in sort function, which simplifies the process of sorting arrays, vectors, and other container types. The sort function is part of the C++ Standard Library and is based on the efficient and versatile Quicksort algorithm.

The syntax for using the sort function is as follows:

#include <algorithm>

// Sorting a container using the sort function
std::sort(container.begin(), container.end());

Here, container refers to the data structure to be sorted, such as an array or vector. The begin() and end() methods are used to specify the range of elements to be sorted.

Let's consider some examples to illustrate the usage of the sort function.

Example 1: Sorting a Vector of Integers

#include <iostream>
#include <vector>
#include <algorithm>

int main() {
    std::vector<int> numbers = {5, 2, 8, 1, 9};

    std::sort(numbers.begin(), numbers.end());

    for (int num : numbers) {
        std::cout << num << " ";
    }

    return 0;
}

Output:

1 2 5 8 9

Example 2: Sorting an Array of Strings

#include <iostream>
#include <algorithm>

int main() {
    std::string names[] = {"Alice", "Charlie", "Bob", "David"};

    std::sort(names, names + 4);

    for (const std::string& name : names) {
        std::cout << name << " ";
    }

    return 0;
}

Output:

Alice Bob Charlie David

Different Types of Sorting Techniques in C++

In C++, there are several sorting techniques available, each with its own advantages and disadvantages. Some commonly used sorting techniques include:

- Bubble Sort

- Insertion Sort

- Quick Sort

- Merge Sort

- Heap Sort

- Radix Sort

We will explore each of these techniques in detail, along with code snippets demonstrating their implementation.

Related Article: Altering Response Fields in an Elasticsearch Query

Bubble Sort: Theory and Code Snippets

Bubble sort is a simple sorting algorithm that repeatedly compares adjacent elements and swaps them if they are in the wrong order. The algorithm continues to pass through the list until the entire list is sorted.

The basic idea behind bubble sort can be summarized as follows:

1. Compare adjacent elements in the list.

2. If the two elements are out of order, swap them.

3. Repeat steps 1 and 2 until the list is sorted.

Let's see an example of bubble sort implemented in C++.

Example 1: Bubble Sort on an Array of Integers

#include <iostream>

void bubbleSort(int arr[], int size) {
    for (int i = 0; i < size - 1; i++) {
        for (int j = 0; j < size - i - 1; j++) {
            if (arr[j] > arr[j + 1]) {
                std::swap(arr[j], arr[j + 1]);
            }
        }
    }
}

int main() {
    int numbers[] = {5, 2, 8, 1, 9};
    int size = sizeof(numbers) / sizeof(numbers[0]);

    bubbleSort(numbers, size);

    for (int i = 0; i < size; i++) {
        std::cout << numbers[i] << " ";
    }

    return 0;
}

Output:

1 2 5 8 9

Example 2: Bubble Sort on a Vector of Strings

#include <iostream>
#include <vector>

void bubbleSort(std::vector<std::string>& vec) {
    int size = vec.size();
    for (int i = 0; i < size - 1; i++) {
        for (int j = 0; j < size - i - 1; j++) {
            if (vec[j] > vec[j + 1]) {
                std::swap(vec[j], vec[j + 1]);
            }
        }
    }
}

int main() {
    std::vector<std::string> names = {"Alice", "Charlie", "Bob", "David"};

    bubbleSort(names);

    for (const std::string& name : names) {
        std::cout << name << " ";
    }

    return 0;
}

Output:

Alice Bob Charlie David

Insertion Sort: Theory and Code Snippets

Insertion sort is another simple sorting algorithm that builds the final sorted array one item at a time. It is based on the idea of dividing the array into a sorted and an unsorted part. Initially, the sorted part contains only the first element, and the unsorted part contains the remaining elements. The algorithm picks an element from the unsorted part and inserts it into the correct position in the sorted part.

The basic idea behind insertion sort can be summarized as follows:

1. Assume the first element in the array is sorted.

2. Take the next element from the unsorted part and insert it into the correct position in the sorted part.

3. Repeat step 2 until all elements in the unsorted part are processed.

Let's see an example of insertion sort implemented in C++.

Example 1: Insertion Sort on an Array of Integers

#include <iostream>

void insertionSort(int arr[], int size) {
    for (int i = 1; i < size; i++) {
        int key = arr[i];
        int j = i - 1;

        while (j >= 0 && arr[j] > key) {
            arr[j + 1] = arr[j];
            j--;
        }

        arr[j + 1] = key;
    }
}

int main() {
    int numbers[] = {5, 2, 8, 1, 9};
    int size = sizeof(numbers) / sizeof(numbers[0]);

    insertionSort(numbers, size);

    for (int i = 0; i < size; i++) {
        std::cout << numbers[i] << " ";
    }

    return 0;
}

Output:

1 2 5 8 9

Example 2: Insertion Sort on a Vector of Strings

#include <iostream>
#include <vector>

void insertionSort(std::vector<std::string>& vec) {
    int size = vec.size();
    for (int i = 1; i < size; i++) {
        std::string key = vec[i];
        int j = i - 1;

        while (j >= 0 && vec[j] > key) {
            vec[j + 1] = vec[j];
            j--;
        }

        vec[j + 1] = key;
    }
}

int main() {
    std::vector<std::string> names = {"Alice", "Charlie", "Bob", "David"};

    insertionSort(names);

    for (const std::string& name : names) {
        std::cout << name << " ";
    }

    return 0;
}

Output:

Alice Bob Charlie David

You May Also Like

How to Use Getline in C++

The getline function in C++ is a powerful tool for handling input, and this tutorial will show you how to use it effectively. From reading a line of … read more

How to Ignore Case Sensitivity with Regex (Case Insensitive)

Learn how to ignore case sensitivity in programming using regex. This article covers the basics, including the regex case insensitive flag and charac… read more

How To Distinguish Between POST And PUT In HTTP

Learn the difference between POST and PUT methods in HTTP and how to use them. Understand why the distinction between POST and PUT is important and e… read more

Ethical Hacking: A Developer’s Guide to Securing Software

In this article, developers will gain insights and practical techniques to ensure the security of their software. Explore the world of ethical hackin… read more

Comparing GraphQL vs REST & How To Manage APIs

This article compares GraphQL and REST, highlighting their differences and similarities. It explores the benefits of using both technologies and prov… read more

The most common wastes of software development (and how to reduce them)

Software development is a complex endeavor that requires much time to be spent by a highly-skilled, knowledgeable, and educated team of people. Often… read more

How to Use the in Source Query Parameter in Elasticsearch

Learn how to query in source parameter in Elasticsearch. This article covers the syntax for querying, specifying the source query, exploring the quer… read more

How to Restrict HTML File Input to Only PDF and XLS

Guide on setting HTML file input to exclusively accept PDF and XLS files. Learn how to restrict HTML file input to only allow PDF and XLS files using… read more

The Path to Speed: How to Release Software to Production All Day, Every Day (Intro)

To shorten the time between idea creation and the software release date, many companies are turning to continuous delivery using automation. This art… read more

Troubleshooting 502 Bad Gateway Nginx

Learn how to troubleshoot and fix the 502 Bad Gateway error in Nginx. This article provides an introduction to the error, common causes, and steps to… read more