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multidimensional generalization

См. также в других словарях:

  • Multidimensional Chebyshev's inequality — In probability theory, the multidimensional Chebyshev s inequality is a generalization of Chebyshev s inequality, which puts a bound on the probability of the event that a random variable differs from its expected value by more than a specified… …   Wikipedia

  • Dynamical system — This article is about the general aspects of dynamical systems. For technical details, see Dynamical system (definition). For the study, see Dynamical systems theory. Dynamical redirects here. For other uses, see Dynamics (disambiguation). The… …   Wikipedia

  • Mexican hat wavelet — Wavelet Mexican Hat In mathematics and numerical analysis, the Mexican hat wavelet is the negative normalized second derivative …   Wikipedia

  • Ideal chain — An ideal chain (or freely jointed chain) is the simplest model to describe a polymer. It only assumes a polymer as a random walk and neglects any kind of interactions among monomers. Although it is simple, its generality gives us some insights… …   Wikipedia

  • Fast Fourier transform — A fast Fourier transform (FFT) is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse. There are many distinct FFT algorithms involving a wide range of mathematics, from simple complex number arithmetic to group …   Wikipedia

  • Discrete Fourier transform — Fourier transforms Continuous Fourier transform Fourier series Discrete Fourier transform Discrete time Fourier transform Related transforms In mathematics, the discrete Fourier transform (DFT) is a specific kind of discrete transform, used in… …   Wikipedia

  • Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… …   Wikipedia

  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Necklace splitting problem — In mathematics, and in particular combinatorics, the necklace splitting problem arises in a variety of contexts including exact division; its picturesque name is due to mathematicians Noga Alon [1] and Douglas B. West.[2] Suppose a necklace, open …   Wikipedia

  • Multilinear subspace learning — (MSL) aims to learn a specific small part of a large space of multidimensional objects having a particular desired property. It is a dimensionality reduction approach for finding a low dimensional representation with certain preferred… …   Wikipedia

  • Nambury S. Raju — (1937 – October 27, 2005) was an American psychology professor known for his work in psychometrics, meta analysis, and utility theory. He was a Fellow of the Society of Industrial Organizational Psychology.[1] Contents 1 Professional Biography 2… …   Wikipedia

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