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this algorithm is initially made for small embedded applications like smart cards
This type of algorithm is commonly used in n dimensional clustering applications. This mean is commonly the simplest to use and a typical algorithm employing the minimum square error algorithm can be found in McQueen 1967.
An algorithm is any procedure composed of fundamental steps, in a clearly defined order, that is guaranteed to halt. It need not be done on a computer, or be related to computation. For example, baking a cake using a recipe is an algorithm. Playing Snakes-and-Ladders is an algorithm. Backing a car out of a driveway can be done by following an algorithm.
Eigenvectors and eigenvalues are important for understanding the properties of expander graphs, which I understand to have several applications in computer science (such as derandomizing random algorithms). They also give rise to a graph partitioning algorithm. Perhaps the most famous application, however, is to Google's PageRank algorithm.
"OSPF detects changes in the topology, such as link failures, very quickly and converges on a new loop-free routing structure within seconds. It computes the shortest path tree for each route using a method based on Dijkstra's algorithm, a shortest path first algorithm."
Karl Justin Edward Elisha has written: 'A K-seed genetic clustering algorithm with applications to cellular manufacturing'
They are different because standard algorithm is more common then the expanded algorithm
Here is the algorithm of the algorithm to write an algorithm to access a pointer in a variable. Algorithmically.name_of_the_structure dot name_of_the _field,eg:mystruct.pointerfield
Black and White bakery algorithm is more efficient.
Complexity of an algorithm is a measure of how long an algorithm would take to complete given
An algorithm is a series of steps leading to a result. A flowchart can be a graphical representation of the algorithm.
By preparing test cases we can test an algorithm. The algorithm is tested with each test case.