The SortingAlgorithms
package provides three sorting algorithms that can be used with Julia's standard sorting API:
- HeapSort – an unstable, general purpose, in-place, O(n log n) comparison sort that works by heapifying an array and repeatedly taking the maximal element from the heap.
- TimSort – a stable, general purpose, hybrid, O(n log n) comparison sort that adapts to different common patterns of partially ordered input data.
- CombSort – an unstable, general purpose, in-place, O(n log n) comparison sort with O(n^2) pathological cases that is very efficient for primitieve types and orders due to SIMD instructions and instruction level paralellism on modern hardware.
julia> using SortingAlgorithms
julia> words = map(chomp,[readlines(open("/usr/share/dict/words"))...])
235886-element Array{ASCIIString,1}:
"A"
"a"
"aa"
⋮
"zythum"
"Zyzomys"
"Zyzzogeton"
julia> sort!(words, alg=TimSort)
235886-element Array{ASCIIString,1}:
"A"
"Aani"
"Aaron"
⋮
"zymurgy"
"zythem"
"zythum"
julia> sort!(words, alg=TimSort, by=length)
235886-element Array{ASCIIString,1}:
"A"
"B"
"C"
⋮
"scientificophilosophical"
"tetraiodophenolphthalein"
"thyroparathyroidectomize"
julia> sort!(words, alg=HeapSort)
235886-element Array{ASCIIString,1}:
"A"
"Aani"
"Aaron"
⋮
"zymurgy"
"zythem"
"zythum"
julia> sort!(words, alg=HeapSort, by=length)
235886-element Array{ASCIIString,1}:
"L"
"p"
"U"
⋮
"scientificophilosophical"
"tetraiodophenolphthalein"
"thyroparathyroidectomize"
julia> sort!(randn(1000), alg=CombSort)
1000-element Array{Float64,1}:
-2.86255
-2.72041
-2.58234
⋮
3.15075
3.20058
3.23942
While SortingAlgorithms.jl is the most widely used sorting package in the Julia ecosystem, other packages are available: