Since gravity speeds up the chips alpha moving, and there are 2^N states, which is 2^640*10^40, or about 5.783*10^216.762162762 years, though if the list started out sorted, its complexity would only be O(N), faster than merge sort, which is only N log N even at the worst case.Įdit3: This algorithm is actually slower than miracle sort as the size gets very big, say 1000, since my algorithm would have a run time of 2.83*10^1175546 years, while the miracle sort algorithm would have a run time of 1.156*10^9657 years.
XSORT ALGORITHM 32 BIT
0000004 seconds,Īnd bogosort takes 308 years, 139 days, 19 hours, 35 minutes, 22.306 seconds, assuming a year is 365.242 days and a computer does 250,000,000 32 bit integer operations per second.Įdit2: This algorithm is not as slow as the "algorithm" miracle sort, which probably, like this sort, will get the computer sucked in the black hole before it successfully sorts 20 elemtnts, but if it did, I would estimate an average complexity of 2^(32(the number of bits in a 32 bit integer)*N)(the number of elements)*(a number <=10^40) years, Learn with a combination of articles, visualizations, quizzes, and coding challenges. Regular bogosort has a average complexity of O(N!), this algorithm has a average complexity of O(N!1!2!3!.N!)Įdit: To give you an idea of how large this number is, for 20 elements, this algorithm takes an average of 3.930093*10^158 years,well above the proposed heat death of the universe(if it happens) of 10^100 years, We've partnered with Dartmouth college professors Tom Cormen and Devin Balkcom to teach introductory computer science algorithms, including searching, sorting, recursion, and graph theory. Should the list be out of order at any time, it restarts by bogosorting the first 2 again. Next it checks the first 3, bogosorts them, and so on. First, it checks the first 2 elements, and bogosorts them. There is a sort that's called bogobogosort. Require any of that suspicious technological computer stuff. Follow for more content like this :).NET.NET Microsoft Technologies based on the. This algorithm is constant in time, and sorts the list in-place, this post will contain several sorting algorthm implementations in C. That transcends our naïve mortal understanding of "ascending order".Īny attempt to change that order to conform to our own preconceptions Sorting algorithms allow a list of items to be sorted so that the list is more usable than it was, usually by placing the items in numerical order (from the least value to the greatest or vice versa) or lexicographical order (also called dictionary order, a generalization of. It's safe to assume that it's already optimally Sorted in some way sorting algorithm, in computer science, a procedure for ordering elements in a list by repeating a sequence of steps. There is such a small likelihood of this that it'sĬlearly absurd to say that this happened by chance, so it must haveīeen consciously put in that order by an intelligent Sorter. The probability of the original input list being in the exact order Intelligent design sort is a sorting algorithm based on the theory of Here's a table showing the stablilty of different sorting algorithm.From David Morgan-Mar's Esoteric Algorithms page: Intelligent Design Sort Stable sorting with the positions preserved However, after a stable sorting algorithm, there is always one possibility where the positions are maintained as in the original array. Unstable sorting with two possible outcomes An unstable sorting algorithm allows two possibilities where the two positions of 3 may or may not be maintained. Quick sort is also known as a partition sort. Usually, auxiliary memory is considered for calculating the space complexity of an algorithm.Ī sorting algorithm is considered stable if the two or more items with the same value maintain the same relative positions even after sorting.įor example, in the image below, there are two items with the same value 3. The auxiliary memory is the additional space occupied by the algorithm apart from the input data.
It includes both the auxiliary memory and the input.
Space Complexity: Space complexity refers to the total amount of memory used by the algorithm for a complete execution. It can be represented in different forms:Ģ. Time Complexity: Time complexity refers to the time taken by an algorithm to complete its execution with respect to the size of the input. The efficiency of any sorting algorithm is determined by the time complexity and space complexity of the algorithm.ġ. And, we can use any algorithm based on the requirement. There are various sorting algorithms that can be used to complete this operation. Here, we are sorting the array in ascending order.
Decrease Key and Delete Node Operations on a Fibonacci HeapĪ sorting algorithm is used to arrange elements of an array/list in a specific order.
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