Update selection sort challenge algorithm discussion (#139)

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Donne Martin 2017-01-21 19:35:29 -05:00 committed by GitHub
parent c69769757d
commit f71936199b

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@ -72,8 +72,17 @@
"\n",
"Complexity:\n",
"* Time: O(n^2) average, worst, best\n",
"* Space: O(1) iterative, O(m) recursive where m is the recursion depth (unless tail-call elimination is available, then O(1)), generally not stable\n",
" * Note: Tail call elimination is not inherently available in Python. See the following [StackOverflow post](http://stackoverflow.com/a/13592002)."
"* Space: O(1) iterative, O(m) recursive where m is the recursion depth (unless tail-call elimination is available, then O(1))\n",
" * Note: Tail call elimination is not inherently available in Python, see the following [StackOverflow post](http://stackoverflow.com/a/13592002).\n",
"\n",
"Misc: \n",
"\n",
"* In-place\n",
"* Most implementations are not stable, due to swapping of values\n",
"\n",
"Selection sort might be a good option if moving elements is more expensive than comparing them, as it requires at most n-1 swaps.\n",
"\n",
"The finding of a minimum element can be done with a min heap, which would change the worst-case run time to O(n log(n)) and increase the space to O(n). This is called a heap sort."
]
},
{
@ -116,12 +125,12 @@
" self._swap(data, i, self._find_min_index(data, i))\n",
" return data\n",
"\n",
" def sort_recursive(self, data, start=0):\n",
" def sort_recursive(self, data):\n",
" if data is None:\n",
" raise TypeError('data cannot be None')\n",
" if len(data) < 2:\n",
" return data\n",
" return self._sort_recursive(data, start)\n",
" return self._sort_recursive(data, start=0)\n",
"\n",
" def _sort_recursive(self, data, start):\n",
" if data is None:\n",