Sorting Algorithms: Insertion and Shell Sort

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Bubble Sort

A sorting algorithm that compares and swaps pairs of elements in a list until the list is sorted. It compares the first two elements, then the second and third, and so on, repeatedly checking and swapping pairs to ensure the list is sorted.

Insertion Sort

A sorting algorithm that divides the list into two parts: a sorted portion and an unsorted portion. It takes the first element from the unsorted portion and inserts it into the correct position within the sorted portion. This process is repeated until the entire list is sorted.

Selection Sort

A sorting algorithm that repeatedly finds the minimum element in the unsorted portion of a list and swaps it with the element at the beginning of the unsorted portion. This process continues until the entire list is sorted.

Merge Sort

A recursive sorting algorithm that divides the list into two halves, sorts each half recursively, and then merges the sorted halves back together.

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Quick Sort

A recursive sorting algorithm that selects a pivot element and partitions the list around the pivot such that all elements smaller than the pivot are placed before it, and all elements larger than the pivot are placed after it. This process is applied recursively to the sub-lists until the entire list is sorted.

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Sorted Portion (Insertion Sort)

The sorted portion of the list in Insertion Sort, which starts with a single element and grows as elements are inserted into their correct positions.

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Unsorted Portion (Insertion Sort)

The unsorted portion of the list in Insertion Sort, which shrinks as elements are moved to the sorted portion.

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New Item (Insertion Sort)

The element being considered for insertion within the sorted portion in Insertion Sort.

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Insert Position (Insertion Sort)

The position where the new item is to be inserted within the sorted portion in Insertion Sort.

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Comparison Element (Insertion Sort)

The element in the sorted portion that the new item is compared to in Insertion Sort.

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Shifting Elements (Insertion Sort)

The process of shifting elements in the sorted portion to the right to make space for the new item in Insertion Sort.

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Insert Position Found (Insertion Sort)

The condition that determines when the new item has reached its correct position within the sorted portion in Insertion Sort.

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Finding Minimum Element (Selection Sort)

The process of repeatedly finding the minimum element in the unsorted portion of the list in Selection Sort.

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First Element (Selection Sort)

The element at the beginning of the unsorted portion in Selection Sort, which is swapped with the minimum element.

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Swapping Elements (Selection Sort)

The process of swapping the minimum element with the first element in the unsorted portion in Selection Sort.

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Dividing (Merge Sort)

The process of breaking the list into smaller sub-lists in Merge Sort.

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Sorting (Merge Sort)

The process of sorting the sub-lists recursively in Merge Sort.

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Merging (Merge Sort)

The process of merging the sorted sub-lists back together in Merge Sort.

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Pivot Element (Quick Sort)

The element used to partition the list in Quick Sort.

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Partitioning (Quick Sort)

The process of dividing the list into two sub-lists around the pivot in Quick Sort.

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Recursion (Quick Sort)

The process of recursively applying Quick Sort to the sub-lists in Quick Sort.

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Time Complexity

The computational complexity of a sorting algorithm, which describes how the algorithm's runtime grows as the input size increases.

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Space Complexity

The amount of additional memory space required by a sorting algorithm beyond the original input data.

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N-squared Time Complexity

A sorting algorithm that is efficient for small lists but becomes less efficient for large lists.

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Logarithmic Time Complexity

A sorting algorithm that is efficient for both small and large lists.

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Efficient Sorting Algorithm

A sorting algorithm that is generally considered efficient and widely used.

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Inefficient Sorting Algorithm

A sorting algorithm that is not efficient for large lists because it takes a long time to sort.

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Comparison-Based Sorting

The process of comparing and swapping elements in a list until the list is sorted.

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Non-Comparison-Based Sorting

The process of sorting elements without comparing them directly.

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Study Notes

Sorting Algorithms

  • Insertion Sort:
    • This algorithm sorts a list by repeatedly inserting an element from the unsorted part into its correct position in the sorted part.
    • It's efficient when the input data is already partially sorted or when the input is small.
    • Worst-case and average time complexity: O(n^2), where n is the number of elements.
    • Best-case time complexity: O(n)

Shell Sort

  • Shell Sort is a sorting algorithm that aims to improve on insertion sort by reducing the number of comparisons and swaps required.
  • It works by comparing and swapping elements that are far apart in the list, thereby making progress toward a sorted order.
  • Concept:
    • The algorithm first divides the array into sub-arrays with increasing gaps and then sorts them using insertion sort.
    • The size of the gaps (gap sequence) is a crucial part of the algorithm's performance.
    • Average and worst time complexity: depends on the gap sequence. In some cases, it can be better than O(n^2).
  • Code:
    • There is a sorting algorithm within Shell, which is called Insertion sort

Quick Sort

  • The quick sort algorithm is a highly effective sorting method that relies on a divide-and-conquer strategy.
  • Key Idea:
    • Choose a "pivot" element from the list.
    • Partition the list into two sub-lists: one containing elements smaller than the pivot and the other containing elements larger than the pivot.
    • Recursively apply the quick sort algorithm to the sub-lists.
  • Worst-case time complexity: O(n^2), where n is the number of elements in the array to sort.
  • Average time complexity: O(n log n)
  • Best-case time complexity: O(n log n)

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