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  • Parametric equation — butterfly curve. In mathematics, parametric equations are a method of defining a curve. A simple kinematical example is when one uses a time parameter to determine the position, velocity, and other information about a body in motion.Abstractly, a …   Wikipedia

  • Parametric surface — A parametric surface is a surface in the Euclidean space R3 which is defined by a parametric equation with two parameters. Parametric representation is the most general way to specify a surface. Surfaces that occur in two of the main theorems of… …   Wikipedia

  • Parametric oscillator — A parametric oscillator is a simple harmonic oscillator whose parameters (its resonance frequency omega and damping eta) vary in time in a defined wayAnother intuitive way of understanding a parametric oscillator is as follows: a parametric… …   Wikipedia

  • Function representation — In computer graphics the function representation (FRep [Shape Modeling and Computer Graphics with Real Functions, [http://www.hyperfun.org/F rep.html FRep Home Page] ] or F Rep) is used in solid modeling. FRep was introduced in Function… …   Wikipedia

  • Parametric model — A parametric model is a set of related mathematical equations in which alternative scenarios are defined by changing the assumed values of a set of fixed coefficients (parameters). In statistics, a parametric model is a parametrized family of… …   Wikipedia

  • Parametric plot — A parametric plot is a plot among functions of a parameter.Examples of parametric plotsAn example of a parametric plot is the plot of ordered pairs :(rcos(t),rsin(t)), r>0 ,. As the parameter t increases, the parametric plot traces out a circle… …   Wikipedia

  • Function (mathematics) — f(x) redirects here. For the band, see f(x) (band). Graph of example function, In mathematics, a function associates one quantity, the a …   Wikipedia

  • Smooth function — A bump function is a smooth function with compact support. In mathematical analysis, a differentiability class is a classification of functions according to the properties of their derivatives. Higher order differentiability classes correspond to …   Wikipedia

  • Covariance function — In probability theory and statistics, covariance is a measure of how much two variables change together and the covariance function describes the variance of a random variable process or field. For a random field or stochastic process Z(x) on a… …   Wikipedia

  • Non-parametric statistics — In statistics, the term non parametric statistics has at least two different meanings: The first meaning of non parametric covers techniques that do not rely on data belonging to any particular distribution. These include, among others:… …   Wikipedia

  • Loss function — In statistics and decision theory a loss function is a function that maps an event onto a real number intuitively representing some cost associated with the event. Typically it is used for parameter estimation, and the event in question is some… …   Wikipedia

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