1. Implement a parallel quicksort algorithm that sorts a large array using multiple threads.
2. Create a program that sorts a list of names while ignoring case sensitivity using a custom comparator with merge sort.
3. Write a function that implements a memory-efficient version of heapsort for large datasets.
4. Develop a sorting algorithm that sorts a linked list in O(n log n) time complexity.
5. Create a program that sorts a list of integers using a hybrid sorting algorithm that combines quicksort and insertion sort.
6. Implement an external merge sort algorithm to handle sorting data that does not fit into memory.
7. Write a program that sorts a list of complex numbers based on their magnitude using a custom sorting algorithm.
8. Develop a counting sort algorithm that can handle negative numbers efficiently.
9. Create a function that implements a topological sort for a directed acyclic graph (DAG).
10. Write a program that uses radix sort to sort a list of strings based on their lexicographical order.
11. Implement a bucket sort that dynamically adjusts the number of buckets based on the input data distribution.
12. Create a sorting algorithm that can sort a list of dates in different formats (e.g., "MM/DD/YYYY", "DD-MM-YYYY").
13. Write a function that performs an in-place merge sort on a linked list.
14. Develop a sorting algorithm that handles sorting of records based on multiple fields (e.g., last name, first name).
15. Create a program that implements a ternary quicksort algorithm to improve performance on certain datasets.
16. Write a function that sorts a sparse array and returns the indices of the sorted elements.
17. Implement a sleep sort algorithm that sorts numbers based on the duration of sleeping threads.
18. Create a program that sorts a list of IP addresses in numeric order.
19. Write a function that uses a self-balancing binary search tree to sort a list of integers.
20. Develop an algorithm that sorts an array of objects based on nested properties.
21. Create a program that sorts large datasets using an adaptive sorting algorithm.
22. Write a function that implements a quickselect algorithm to find the k-th smallest element in an unsorted array.
23. Implement a dual-pivot quicksort algorithm to improve efficiency for certain data distributions.
24. Create a program that sorts a list of scientific measurements, considering significant figures.
25. Write a function that implements a modified bubble sort that tracks the number of swaps and stops early if no swaps occur.
26. Develop a sorting algorithm that prioritizes stability in sorting records with duplicate keys.
27. Create a program that sorts a list of strings by their length using a custom comparator.
28. Write a function that uses a heap data structure to continuously retrieve and sort the top k elements from a stream of data.
29. Implement a sorting algorithm that combines elements of merge sort and bubble sort for specific data patterns.
30. Create a program that sorts a list of custom objects by multiple attributes using chained comparators.
31. Write a function that implements a radix sort for variable-length strings.
32. Develop an algorithm that can sort a partially sorted array more efficiently than O(n log n).
33. Create a program that sorts a list of integers with a known range using a modified counting sort.
34. Write a function that implements a pancake sorting algorithm to sort an array with the minimum number of flips.
35. Implement a top-k sorting algorithm that finds the k largest or smallest elements without fully sorting the array.
36. Create a program that sorts a list of JSON objects by specific keys.
37. Write a function that implements a tournament sort algorithm for efficiently sorting large datasets.
38. Develop a sorting algorithm that utilizes the cache efficiently to improve sorting speed.
39. Create a program that sorts a list of dates while accounting for time zones.
40. Write a function that implements an online sorting algorithm to handle data as it arrives in a stream.