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Method of Characteristics with applications to Conservation Laws. Sarra, October 17, 2002. Method of Characteristics, applet. Audience: Undergraduate students in a partial differential equations class, undergraduate (or graduate) students in mathematics or other sciences desiring a brief and graphical introduction to the solutions of nonlinear hyperbolic conservation laws. In the last post, many moons ago, I introduced the 2-D FFT and discussed the magnitude and phase components of the spatial Fourier domain.

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- Graphical Educational content for Mathematics, Science, Computer Science. KolmogorovSmirnov estimation edit Another method for the estimation of the power-law exponent, which does not assume independent and identically distributed (iid) data, uses the minimization of the KolmogorovSmirnov statistic, D displaystyle D, between the cumulative distribution functions of the data and the power law:.

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- In the next few posts, I would like to describe a concrete application of the 2-D FFT, namely blurring. Blurring and deblurring are useful image processing techniques that can be used in a variety of fields. In statistics, a power law is a functional relationship between two quantities, where a relative change in one quantity results in a proportional relative change in the other quantity, independent of the initial size of those quantities: one quantity varies as a power of another. For instance, considering the area of a square in terms of the length of its side, if the length is doubled, the. That is, scaling by a constant c displaystyle c simply multiplies the original power-law relation by the constant c k displaystyle c-k.

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