21. Sorting Algorithms

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One of the most crucial topics in the complete Logic Programming course for beginners is the study of Sorting Algorithms. Sorting is a classic and fundamental problem in computer science. Sorting means arranging elements of a set in a specific sequence. In the context of programming, sorting is the process of rearranging a set of data (such as an array) either ascending (smallest to largest) or descending (largest to smallest).

There are several sorting algorithms and each of them has its peculiarities, advantages and disadvantages. Let's discuss some of the most common and important sorting algorithms.

1. Bubble Sort

Bubble Sort, or Float Sort, is one of the simplest sorting algorithms. It works by repeating the process of going through the list to be sorted, comparing each pair of adjacent items and swapping them if they are in the wrong order. This process is repeated until the list is sorted.

2. Selection Sort

Selection Sort is another simple sorting algorithm. It works by splitting the list to be sorted into two parts: the sorted part and the unsorted part. Initially, the sorted part is empty and the unsorted part contains all the elements. The algorithm works by finding the smallest (or largest, depending on the sort order) element in the unsorted part and swapping it with the first unsorted element, moving the boundary between the sorted and unsorted parts.

3. Insertion Sort

Insertion Sort is a sorting algorithm that works similar to the way people sort playing cards in their hands. The algorithm divides the list into an ordered part and an unordered part. The sorted part starts with the first element of the list. On each iteration, the algorithm removes an element from the unsorted part and inserts it in the correct position in the sorted part.

4. Merge Sort

Merge Sort is a sorting algorithm that uses the divide-and-conquer approach. It splits the list to be sorted into two halves, sorts the two halves separately, and then merges them to get the sorted list. Merge Sort is a stable and efficient algorithm with a time complexity of O(n log n).

5. Quick Sort

Quick Sort is a sorting algorithm that also uses the divide-and-conquer approach. It picks an element named pivot and partitions the list around the pivot so that elements less than the pivot go to the left of the pivot and elements greater than the pivot go to the right of the pivot. Quick Sort then sorts the two partitions recursively. Quick Sort is one of the fastest sorting algorithms, with an average time complexity of O(n log n).

These are just a few of the many sorting algorithms that exist. Each of them has its own advantages and disadvantages and is suitable for different types of sorting problems. In the complete Logic Programming for Beginners course, you will learn more about these and other sorting algorithms, as well as when and how to use them effectively.

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7922. Search Algorithms