quicksort

Worst case for QuickSort - when can it occur?

馋奶兔 提交于 2019-11-26 20:05:52
When analyzing QS, every one always refers to the "almost sorted" worst case. When can such a scenario occur with natural input? The only example I came up with is re-indexing. I think people are confusing Quicksort the partition-based sorting algorithm, and "qsort" the various library implementations. I prefer to see Quicksort the algorithm as having a pluggable pivot selection algorithm, which is quite essential in analyzing its behavior. If the first element is always chosen as the pivot, then an already sorted list is the worst-case. Often there's a high probability that the array is

Why does Java's Arrays.sort method use two different sorting algorithms for different types?

大憨熊 提交于 2019-11-26 18:17:11
Java 6's Arrays.sort method uses Quicksort for arrays of primitives and merge sort for arrays of objects. I believe that most of time Quicksort is faster than merge sort and costs less memory. My experiments support that, although both algorithms are O(n log(n)). So why are different algorithms used for different types? Michael Borgwardt The most likely reason: quicksort is not stable , i.e. equal entries can change their relative position during the sort; among other things, this means that if you sort an already sorted array, it may not stay unchanged. Since primitive types have no identity

Quick sort Worst case

自作多情 提交于 2019-11-26 17:47:58
I'm working on the program just needed in the following to understand it better. What is the worst case running time for Quicksort and what may cause this worse case performance? How can we modify quicksort program to mitigate this problem? I know that it has worst case O(n^2) and I know it occurs when the pivot unique minimum or maximum element. My question is how can I modify the program to mitigate this problem. A good algorithm will be good. Quicksort's performance is dependent on your pivot selection algorithm. The most naive pivot selection algorithm is to just choose the first element

What Sorting Algorithm Is Used By LINQ “OrderBy”?

て烟熏妆下的殇ゞ 提交于 2019-11-26 17:47:38
Evidently LINQ's "OrderBy" had originally been specified as unstable, but by the time of Orca it was specified as stable. Not all documentation has been updated accordingly - consider these links: Jon Skeet on OrderBy stability Troy Magennis on OrderBy stability But if LINQ's OrderBy is now "stable," then it means it is not using a quicksort (which is inherently unstable) even though some documentation (e.g. Troy's book) says it is. So my question is: if not quicksort, then what is the actual algorithm LINQ's orderBy is using? For LINQ to Objects, it's a stable quicksort that is used. For any

Pseudo-quicksort time complexity

馋奶兔 提交于 2019-11-26 16:54:20
问题 I know that quicksort has O(n log n) average time complexity. A pseudo-quicksort (which is only a quicksort when you look at it from far enough away, with a suitably high level of abstraction) that is often used to demonstrate the conciseness of functional languages is as follows (given in Haskell): quicksort :: Ord a => [a] -> [a] quicksort [] = [] quicksort (p:xs) = quicksort [y | y<-xs, y<p] ++ [p] ++ quicksort [y | y<-xs, y>=p] Okay, so I know this thing has problems. The biggest problem

Why is the minimalist, example Haskell quicksort not a “true” quicksort?

前提是你 提交于 2019-11-26 15:42:51
Haskell's website introduces a very attractive 5-line quicksort function , as seen below. quicksort [] = [] quicksort (p:xs) = (quicksort lesser) ++ [p] ++ (quicksort greater) where lesser = filter (< p) xs greater = filter (>= p) xs They also include a "True quicksort in C" . // To sort array a[] of size n: qsort(a,0,n-1) void qsort(int a[], int lo, int hi) { int h, l, p, t; if (lo < hi) { l = lo; h = hi; p = a[hi]; do { while ((l < h) && (a[l] <= p)) l = l+1; while ((h > l) && (a[h] >= p)) h = h-1; if (l < h) { t = a[l]; a[l] = a[h]; a[h] = t; } } while (l < h); a[hi] = a[l]; a[l] = p; qsort

What&#39;s the difference of dual pivot quick sort and quick sort?

纵然是瞬间 提交于 2019-11-26 15:15:09
问题 I've never seen dual pivot quick sort before. If it is a upgrade edition of quick sort? And what is the difference of dual pivot quick sort and quick sort? 回答1: I find this in the Java doc. The sorting algorithm is a Dual-Pivot Quicksort by Vladimir Yaroslavskiy, Jon Bentley, and Joshua Bloch. This algorithm offers O(n log(n)) performance on many data sets that cause other quicksorts to degrade to quadratic performance, and is typically faster than traditional (one-pivot) Quicksort

Why quicksort is more popular than radix-sort?

你。 提交于 2019-11-26 14:18:56
问题 Why quicksort(or introsort), or any comparison-based sorting algorithm is more common than radix-sort? Especially for sorting numbers. Radix-sort is not comparison based, hence may be faster than O(n logn). In fact, it is O(k n), where k is the number of bits used to represent each item. And the memory overhead is not critical, since you may choose the number of buckets to use, and required memory may be less than mergesort's requirements. Does it have to do with caching? Or maybe accessing

Why is Insertion sort better than Quick sort for small list of elements?

允我心安 提交于 2019-11-26 13:51:08
问题 Isnt Insertion sort O(n^2) > Quick sort O(nlogn)...so for a small n, wont the relation be the same? 回答1: Big-O Notation describes the limiting behavior when n is large, also known as asymptotic behavior. This is an approximation. (See http://en.wikipedia.org/wiki/Big_O_notation) Insertion sort is faster for small n because Quick Sort has extra overhead from the recursive function calls. Insertion sort is also more stable than Quick sort and requires less memory. This question describes some

Quicksort with Python

非 Y 不嫁゛ 提交于 2019-11-26 12:45:37
I am totally new to python and I am trying to implement quicksort in it. Could someone please help me complete my code? I do not know how to concatenate the three arrays and printing them. def sort(array=[12,4,5,6,7,3,1,15]): less = [] equal = [] greater = [] if len(array) > 1: pivot = array[0] for x in array: if x < pivot: less.append(x) if x == pivot: equal.append(x) if x > pivot: greater.append(x) sort(less) sort(pivot) sort(greater) Brionius def sort(array=[12,4,5,6,7,3,1,15]): """Sort the array by using quicksort.""" less = [] equal = [] greater = [] if len(array) > 1: pivot = array[0]