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Bubble Sort
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
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
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
Merge Sort
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Quick Sort
Quick Sort
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Sorted Portion (Insertion Sort)
Sorted Portion (Insertion Sort)
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Unsorted Portion (Insertion Sort)
Unsorted Portion (Insertion Sort)
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New Item (Insertion Sort)
New Item (Insertion Sort)
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Insert Position (Insertion Sort)
Insert Position (Insertion Sort)
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Comparison Element (Insertion Sort)
Comparison Element (Insertion Sort)
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Shifting Elements (Insertion Sort)
Shifting Elements (Insertion Sort)
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Insert Position Found (Insertion Sort)
Insert Position Found (Insertion Sort)
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Finding Minimum Element (Selection Sort)
Finding Minimum Element (Selection Sort)
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First Element (Selection Sort)
First Element (Selection Sort)
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Swapping Elements (Selection Sort)
Swapping Elements (Selection Sort)
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Dividing (Merge Sort)
Dividing (Merge Sort)
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Sorting (Merge Sort)
Sorting (Merge Sort)
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Merging (Merge Sort)
Merging (Merge Sort)
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Pivot Element (Quick Sort)
Pivot Element (Quick Sort)
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Partitioning (Quick Sort)
Partitioning (Quick Sort)
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Recursion (Quick Sort)
Recursion (Quick Sort)
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Time Complexity
Time Complexity
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Space Complexity
Space Complexity
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N-squared Time Complexity
N-squared Time Complexity
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Logarithmic Time Complexity
Logarithmic Time Complexity
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Efficient Sorting Algorithm
Efficient Sorting Algorithm
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Inefficient Sorting Algorithm
Inefficient Sorting Algorithm
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Comparison-Based Sorting
Comparison-Based Sorting
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Non-Comparison-Based Sorting
Non-Comparison-Based Sorting
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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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