1. Introduction In computer science, the time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the length of the string representing the input. 2. Big O notation The time complexity of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms.
Robust peak detection algorithm (using z-scores) I came up with an algorithm that works very well for these types of datasets. It is based on the principle of dispersion: if a new datapoint is a given x number of standard deviations away from a moving mean, the algorithm gives a signal. The algorithm is very robust because it constructs a separate moving mean and deviation, such that previous ...
What you're looking for are called String Metric algorithms. There a significant number of them, many with similar characteristics. Among the more popular: Levenshtein Distance : The minimum number of single-character edits required to change one word into the other. Strings do not have to be the same length Hamming Distance : The number of characters that are different in two equal length ...
My algorithm (short explanation) To fully understand my algorithm, you need to have read the article by Ian Richards or at least understand what a Farey pair is. Furthermore, read the algorithm with comments at the end of this article. The algorithm is using a Farey pair, containing a left and a right fraction.
This algorithm results in Mazes with about as high a "river" factor as possible, with fewer but longer dead ends, and usually a very long and twisty solution. It runs quite fast, although Prim's algorithm is a bit faster.
1 As I know, the best sorting algorithm is O (n*log n), whatever the container - it's been proved that sorting in the broad sense of the word (mergesort/quicksort etc style) can't go lower. Using a linked list will not give you a better run time.
Each algorithm is best suited for certain types of image transformations and you can take advantage of that. At the top, the fastest algorithms; at the bottom the slowest (though more accurate). You might skip the slow ones if a good match is found at the faster level. file-hash based (md5,sha1,etc) for exact duplicates
76 After a lot of Googling, I've found that most sources say that the Dijkstra algorithm is "more efficient" than the Bellman-Ford algorithm. But under what circumstances is the Bellman-Ford algorithm better than the Dijkstra algorithm? I know "better" is a broad statement, so specifically I mean in terms of speed and also space if that applies.
The only way I can think of implementing it as a search algorithm is to perform a linear search and executing the string metric algorithm for each string and returning the strings with scores above a certain threshold.
7 A Strong Algorithm Here is an implementation of a MineSweeper algorithm. This algorithm takes into account some conditions while generating the map, and also performs a solver algorithm to make sure that the generated map has at least one possible solution.
