generalized algorithm
11Generalized linear model — In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary least squares regression. It relates the random distribution of the measured variable of the experiment (the distribution function ) to the systematic (non …
12Generalized Hebbian Algorithm — The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger s rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989cite …
13Generalized minimal residual method — In mathematics, the generalized minimal residual method (usually abbreviated GMRES) is an iterative method for the numerical solution of a system of linear equations. The method approximates the solution by the vector in a Krylov subspace with… …
14Generalized star height problem — The generalized star height problem in formal language theory is the open question whether all regular languages can be expressed using regular expressions with a built in complement operator of limited star height, i. e. with a limited nesting… …
15Generalized Procrustes analysis — The Procrustes distance provides a metric to minimize in order to align a pair of shape instances annotated by landmark points. Generalized Procrustes analysis (GPA) is a procedure applying the aforementioned Procrustes analysis method to align a …
16Paxos algorithm — Paxos is a family of protocols for solving consensus in a network of unreliable processors.Consensus is the process of agreeing on one result among a group of participants. This problem becomes difficult when the participants or their… …
17Constraint algorithm — In mechanics, a constraint algorithm is a method for satisfying constraints for bodies that obey Newton s equations of motion. There are three basic approaches to satisfying such constraints: choosing novel unconstrained coordinates ( internal… …
18Super-recursive algorithm — In computer science and computability theory, super recursive algorithms are algorithms that are more powerful, that is, compute more, than Turing machines. The term was introduced by Mark Burgin, whose book Super recursive algorithms develops… …
19Eigenvalue algorithm — In linear algebra, one of the most important problems is designing efficient and stable algorithms for finding the eigenvalues of a matrix. These eigenvalue algorithms may also find eigenvectors. Contents 1 Characteristic polynomial 2 Power… …
20A* search algorithm — In computer science, A* (pronounced A star ) is a best first, graph search algorithm that finds the least cost path from a given initial node to one goal node (out of one or more possible goals). It uses a distance plus cost heuristic function… …
