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  2. Filters in topology - Wikipedia

    en.wikipedia.org/wiki/Filters_in_topology

    Filters in topology. The power set lattice of the set with the upper set colored dark green. It is a filter, and even a principal filter. It is not an ultrafilter, as it can be extended to the larger proper filter by including also the light green elements. Because cannot be extended any further, it is an ultrafilter.

  3. Macular degeneration - Wikipedia

    en.wikipedia.org/wiki/Macular_degeneration

    8.7% global prevalence in 2020 [2] Macular degeneration, also known as age-related macular degeneration (AMD or ARMD), is a medical condition which may result in blurred or no vision in the center of the visual field. [1] Early on there are often no symptoms. [1] Over time, however, some people experience a gradual worsening of vision that may ...

  4. Myopia - Wikipedia

    en.wikipedia.org/wiki/Myopia

    Myopia. Myopia, also known as near-sightedness and short-sightedness, [5] is an eye disease [6][7][8] where light from distant objects focuses in front of, instead of on, the retina. [1][2][7] As a result, distant objects appear blurry while close objects appear normal. [1]

  5. Isaac Newton - Wikipedia

    en.wikipedia.org/wiki/Isaac_Newton

    Isaac Barrow. Succeeded by. William Whiston. Signature. Sir Isaac Newton FRS (25 December 1642 – 20 March 1726/27 [a]) was an English polymath active as a mathematician, physicist, astronomer, alchemist, theologian, and author who was described in his time as a natural philosopher. [7] He was a key figure in the Scientific Revolution and the ...

  6. Laplace transform - Wikipedia

    en.wikipedia.org/wiki/Laplace_transform

    Similarly, the set of values for which F(s) converges (conditionally or absolutely) is known as the region of conditional convergence, or simply the region of convergence (ROC). If the Laplace transform converges (conditionally) at s = s 0 , then it automatically converges for all s with Re( s ) > Re( s 0 ) .

  7. Kullback–Leibler divergence - Wikipedia

    en.wikipedia.org/wiki/Kullback–Leibler_divergence

    Kullback–Leibler divergence. In mathematical statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence[1]), denoted , is a type of statistical distance: a measure of how one reference probability distribution P is different from a second probability distribution Q. [2][3] Mathematically, it is defined as.

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