corrector algorithm

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• Beeman's algorithm — is a method for numerically integrating ordinary differential equations, generally position and velocity, which is closely related to Verlet integration. It produces identical positions to Verlet, but is more accurate in velocities. It is most… …   Wikipedia

• Mehrotra predictor-corrector method — Mehrotra s predictor corrector method in optimization is an implementation of interior point methods. It was proposed in 1989 by Sanjay Mehrotra. [cite journal|last=Mehrotra|first=S.|title=On the implementation of a primal–dual interior point… …   Wikipedia

• Mehrotra predictor–corrector method — Mehrotra s predictor–corrector method in optimization is an implementation of interior point methods. It was proposed in 1989 by Sanjay Mehrotra.[1] The method is based on the fact that at each iteration of an interior point algorithm it is… …   Wikipedia

• Predictor-corrector method — In mathematics, particularly numerical analysis, a predictor corrector method is an algorithm that proceeds in two steps. First, the prediction step calculates a rough approximation of the desired quantity. Second, the corrector step refines the… …   Wikipedia

• Linear programming — (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships.… …   Wikipedia

• Interior point method — Interior point methods (also referred to as barrier methods) are a certain class of algorithms to solve linear and nonlinear convex optimization problems. These algorithms have been inspired by Karmarkar s algorithm, developed by Narendra… …   Wikipedia

• Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… …   Wikipedia

• Numerical continuation — is a method of computing approximate solutions of a system of parameterized nonlinear equations, The parameter λ is usually a real scalar, and the solution an n vector. For a fixed parameter value λ,, maps Euclidean n space into itself. Often the …   Wikipedia

• MacCormack method — In computational fluid dynamics, the MacCormack method is a widely used discretization scheme for the numerical solution of hyperbolic partial differential equations (hyperbolic PDEs). This second order finite difference method is introduced by R …   Wikipedia

• List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …   Wikipedia

• Category:Optimization algorithms — An optimization algorithm is an algorithm for finding a value x such that f(x) is as small (or as large) as possible, for a given function f, possibly with some constraints on x. Here, x can be a scalar or vector of continuous or discrete values …   Wikipedia