Sorting §

Group: 4 #group-4

Relations §

• Comparison-based: Comparison-based sorting algorithms compare elements to determine their relative order.
• Arrangement: Arranging can involve sorting or ordering elements.
• Space Complexity: The space complexity of sorting algorithms is a measure of the additional memory required by the algorithm.
• Merge Sort: Merge Sort is a divide and conquer algorithm that recursively divides the input array into two halves, sorts them, and then merges them.
• Arrangement: An arrangement may involve sorting or ordering elements in a specific way.
• Divide and Conquer: Many efficient sorting algorithms, such as Merge Sort and Quick Sort, are based on the divide and conquer paradigm.
• Stability: Stability is an important property of sorting algorithms that preserves the relative order of equal elements.
• Grouping: Sorting is a fundamental operation in grouping, where items are arranged based on specific criteria.
• Radix Sort: Radix Sort is a non-comparative integer sorting algorithm that sorts data by grouping keys by individual digits that share the same significant position and value.
• Selection Sort: Selection Sort is an in-place comparison sorting algorithm that divides the input list into two parts: sorted and unsorted.
• Bucket Sort: Bucket Sort is a sorting algorithm that distributes elements of an array into a number of buckets, and then sorts each bucket individually.
• Array: Array elements can be sorted in a specific order
• Computational Complexity: The efficiency of sorting algorithms is analyzed using computational complexity theory.
• In-place: In-place sorting algorithms rearrange the elements within the original array, without using additional storage.
• Recursion: Recursive algorithms are often used in sorting, such as in Merge Sort and Quick Sort.
• Classification: Sorting is the process of arranging things into classes or categories.
• Heap Sort: Heap Sort is a comparison-based sorting technique that uses a binary heap data structure to sort the elements.
• Time Complexity: The time complexity of sorting algorithms is a measure of how the running time scales with the input size.
• Data Structures: Sorting is often used in conjunction with data structures to organize and manipulate data.
• Quick Sort: Quick Sort is a divide and conquer algorithm that picks an element as a pivot and partitions the given array around the pivot.
• Bubble Sort: Bubble Sort is a simple sorting algorithm that repeatedly swaps adjacent elements if they are in the wrong order.
• Algorithms: Sorting is a fundamental concept in computer science algorithms.
• Insertion Sort: Insertion Sort is an efficient sorting algorithm for small data sets that builds the final sorted array one item at a time.
• Non-comparison-based: Non-comparison-based sorting algorithms, such as Radix Sort and Bucket Sort, do not compare elements directly.