quickSortLomuto<E> function
- List<
E> list, { - int? begin,
- int? end,
- Comparator<
E> ? compare, - int threshold = 32,
Sorts the list of numbers using the
quicksort algorithm following
Lomuto partition scheme
with several optimizations.
Parameters
listis any list of items to be sorted.- To perform partial sorting, you can specify the
beginorend. beginis the start index of the range to be sorted.- If
beginis negative, range starts at the 0 - If
beginis not below the length of thelist, range will be empty. endis the final index if the range to be sorted. It is exclusive.- If
endis above the length of thelist, it will be ignored. - If
endis negative, the absolute value of it will be subtracted from the length of thelistto determine where the range ends. - If
endis not greater than thebegin, the range will be empty. compareis a custom compare to order the list elements. If it is null andlistitems are not Comparable, TypeError is thrown.thresholdis the maximum limit for which a range can be sorted using insertion sort.
Optimizations
- Using iterative approach to avoid recursion. (function calls are slow)
- Keeping stack smaller by tail-call optimization. (reduces memory usage)
- Use insertion sort on smaller ranges. (configurable by
thresholdparameter) - Following Sedwick's optimization and using median-of-3 to choose the pivot. (avoiding worst-case performance on already sorted list)
- Exclude items equal to the pivot to avoid worst-case performance on list with repeatitive items.
- Keeping separate logic for when compare function is provided or not.
Details
Quicksort is a type of divide and conquer algorithm for sorting an array, based on a partitioning routine; the details of this partitioning can vary somewhat, so that quicksort is really a family of closely related algorithms.
Lomuto scheme is attributed to Nico Lomuto. This scheme chooses a pivot that
is typically the last element in the array. The algorithm maintains a temporary
pivot index p as it scans the array using another index i such that the elements
at l through i-1 (inclusive) are less than the pivot, and the elements at
i through p (inclusive) are equal to or greater than the pivot.
This scheme degrades to O(n^2) when the list is already sorted, or items are repetitive,
but some optimizations can be done to overcome that. Still this is less efficient than
Haore's original scheme implemented in quickSortHaore.
Complexity: Time O(n log n) | Space O(log n)
Worst-case: Time O(n^2) | Space O(log n)
Implementation
void quickSortLomuto<E>(
List<E> list, {
int? begin,
int? end,
Comparator<E>? compare,
int threshold = 32,
}) {
int b, e;
int n = list.length;
// Find the range given the parameters.
b = 0;
e = n;
if (begin != null && b < begin) {
b = begin;
}
if (end != null && end < e) {
e = end;
if (e < 0) e += n;
}
// If the range has less than two items, returns immediately.
if (b + 1 >= e) return;
if (compare == null) {
quickSortDefault(list, b, e, threshold);
} else {
quickSortCustom(list, b, e, threshold, compare);
}
}