Search results
Results From The WOW.Com Content Network
In computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to execute them. Usually, this involves determining a function that relates the size of an algorithm's input to the number of steps it takes (its time complexity ) or the ...
In physical simulations, sweep and prune is a broad phase algorithm used during collision detection to limit the number of pairs of solids that need to be checked for collision, i.e. intersection. This is achieved by sorting the starts (lower bound) and ends (upper bound) of the bounding volume of each solid along a number of arbitrary axes. As ...
The order of growth (e.g. linear, logarithmic) of the worst-case complexity is commonly used to compare the efficiency of two algorithms. The worst-case complexity of an algorithm should be contrasted with its average-case complexity, which is an average measure of the amount of resources the algorithm uses on a random input.
Endovascular coiling is an endovascular treatment for intracranial aneurysms and bleeding throughout the body. The procedure reduces blood circulation to an aneurysm or blood vessel through the implantation of detachable platinum wires, with the clinician inserting one or more into the blood vessel or aneurysm until it is determined that blood flow is no longer occurring within the space.
Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time by comparisons.It is much less efficient on large lists than more advanced algorithms such as quicksort, heapsort, or merge sort.
Introsort or introspective sort is a hybrid sorting algorithm that provides both fast average performance and (asymptotically) optimal worst-case performance. It begins with quicksort, it switches to heapsort when the recursion depth exceeds a level based on (the logarithm of) the number of elements being sorted and it switches to insertion sort when the number of elements is below some threshold.
For example, if m is chosen proportional to √ n, then the running time of the final insertion sorts is therefore m ⋅ O(√ n 2) = O(n 3/2). In the worst-case scenarios where almost all the elements are in a few buckets, the complexity of the algorithm is limited by the performance of the final bucket-sorting method, so degrades to O(n 2).
In this sense, it is a hybrid algorithm that combines both merge sort and insertion sort. [9] For small inputs (up to =) its numbers of comparisons equal the lower bound on comparison sorting of ⌈ ! ⌉ . However, for larger inputs the number of comparisons made by the merge-insertion algorithm is bigger than this lower bound.