NOTICE: This repository is undergoing a gradual transition to a new format. As such, there may be some inconsistencies or missing information. Check out older commits for the old README and benchsort.d tool.
All modules are provided with documentation and unit tests. Any single module may be used independently without any other modules installed.
- Bubble Sort - Implemented to work with forward ranges
- Comb Sort - Standard implementation or final pass with linear/gallop insertion sort
- Cycle Sort - Implemented to work with forward ranges
- Forward Sort - In-place sort for forward ranges utilizing a combination of quick sort + comb sort
- Hash Sort - Variant of counting sort which utilizes a hash table
- Heap Sort - Six variants: binary or ternary tree; sift-down, sift-up, or bottom-up traversal
- In-Place Merge Sort - O(n lg^2 n) time complexity
- Insertion Sort - Utilizing linear, binary, gallop, or trot search
- Introsort - A hybrid algorithm which uses a mix of quicksort and heapsort to achieve O(n log n) running time in the worst case
- Merge Sort - O(n) or O(n/2) space complexity
- Selection Sort - Implemented to work with forward ranges
- Shell Sort - Provides concurrent implementation
- Stable Quick Sort (3-way stable quick sort with O(lg n) or O(lg^2 n) space complexity)
- Stable Sort - Natural merge sort with O(lg^2 n) space complexity
- Timsort - Standard implementation without any special tricks
- Timsortlow - Variant of Timsort with O(n/1024) space complexity
Here are a few other sorting algorithms implemented by others for the D programming language:
- Radix Sort by Per Nordlöw - Supports integer and floating-point element types
- Smooth Sort by deadalnix - A natural variant of heap sort using Leonardo heaps
- Tree Sort - An implementation of a red-black tree is available in the Phobos standard library
The documentation provided here and in the source code makes use of some notions and terminology which are common to sorting algorithms or algorithms in general. I'll list a few of them here:
- Big O notation - A useful notation which describes how well algorithms scale as the input grows larger.
- Stable - A stable sorting algorithm will retain the original ordering of equal elements. For example, suppose you have a list of names that you want to sort by first name only, ignoring the last name. If the list is sufficiently large, some people are bound to have the same first name but different last names. A stable sorting algorithm will keep the original order of the last names for people who have the same first name. An unstable sorting algorithm generally will not.
- Adaptive - An adaptive (or natural) sorting algorithm generally performs faster on data which is already partially sorted. These algorithms may utilize multiple techniques to better exploit patterns in the data. Timsort is a great example of an adaptive sort.
- In-Place (In Situ) - I use this term to classify an algorithm which is implemented without any sort of buffer or allocated memory.
- Ranges - The Phobos standard library has the concept of ranges which are similar to C++ iterators. All of the modules in this repository make use of ranges. You can read more about them here.
- Smoothsort - An adaptive variant of heap sort
- Tree sort - A sorting algorithm utilizing a binary tree
- Block sort - An in-place stable sort which runs in O(n lg n) time
- Trie sorting algorithm for strings (e.g. Burstsort)
- Write independent modules for some useful functions such as a stable
- Smoothsort Demystified by Keith Schwarz.
- Timsort for Android by Google.
- J. I. Munro, V. Raman, and J. S. Salowe. 1990. Stable in situ sorting and minimum data movement. BIT 30, 2 (June 1990), 220-234. DOI=10.1007/BF02017344 SpringerLink
- GrailSort and WikiSort are quality implementations of the block sort algorithm
- Wikipedia is referenced more times than I can possibly count