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  2. Gauss map - Wikipedia

    en.wikipedia.org/wiki/Gauss_Map

    In differential geometry, the Gauss map of a surface is a function that maps each point in the surface to a unit vector that is orthogonal to the surface at that point. Namely, given a surface X in Euclidean space R 3 , the Gauss map is a map N : X → S 2 (where S 2 is the unit sphere ) such that for each p in X , the function value N ( p ) is ...

  3. Gauss iterated map - Wikipedia

    en.wikipedia.org/wiki/Gauss_iterated_map

    Cobweb plot of the Gauss map for = and =. This shows an 8-cycle. This shows an 8-cycle. In mathematics , the Gauss map (also known as Gaussian map [ 1 ] or mouse map ), is a nonlinear iterated map of the reals into a real interval given by the Gaussian function :

  4. Gaussian function - Wikipedia

    en.wikipedia.org/wiki/Gaussian_function

    It is named after the mathematician Carl Friedrich Gauss. The graph of a Gaussian is a characteristic symmetric "bell curve" shape. The parameter a is the height of the curve's peak, b is the position of the center of the peak, and c (the standard deviation, sometimes called the Gaussian RMS width) controls the width of the "bell".

  5. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is [ 2 ] [ 3 ] f ( x ) = 1 2 π σ 2 e − ( x − μ ) 2 2 σ 2 . {\displaystyle f(x)={\frac {1}{\sqrt {2\pi \sigma ^{2 ...

  6. Theorema Egregium - Wikipedia

    en.wikipedia.org/wiki/Theorema_egregium

    The catenoid and the helicoid are two very different-looking surfaces. Nevertheless, each of them can be continuously bent into the other: they are locally isometric. It follows from Theorema Egregium that under this bending the Gaussian curvature at any two corresponding points of the catenoid and helicoid is always the same.

  7. Box–Muller transform - Wikipedia

    en.wikipedia.org/wiki/Box–Muller_transform

    Visualisation of the Box–Muller transform — the coloured points in the unit square (u 1, u 2), drawn as circles, are mapped to a 2D Gaussian (z 0, z 1), drawn as crosses. The plots at the margins are the probability distribution functions of z0 and z1. z0 and z1 are unbounded; they appear to be in [−2.5, 2.5] due to the choice of the ...

  8. List of chaotic maps - Wikipedia

    en.wikipedia.org/wiki/List_of_chaotic_maps

    Complex squaring map: discrete: complex: 1: 0: acts on the Julia set for the squaring map. Complex cubic map: discrete: complex: 1: 2: Clifford fractal map [13] discrete: real: 2: 4: Degenerate Double Rotor map: De Jong fractal map [14] discrete: real: 2: 4: Delayed-Logistic system [15] discrete: real: 2: 1: Discretized circular Van der Pol ...

  9. Gauss circle problem - Wikipedia

    en.wikipedia.org/wiki/Gauss_circle_problem

    Gauss's circle problem asks how many points there are inside this circle of the form (,) where and are both integers. Since the equation of this circle is given in Cartesian coordinates by x 2 + y 2 = r 2 {\displaystyle x^{2}+y^{2}=r^{2}} , the question is equivalently asking how many pairs of integers m and n there are such that

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