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Uniformly distributed measure information


In mathematics — specifically, in geometric measure theory — a uniformly distributed measure on a metric space is one for which the measure of an open ball depends only on its radius and not on its centre. By convention, the measure is also required to be Borel regular, and to take positive and finite values on open balls of finite radius. Thus, if (Xd) is a metric space, a Borel regular measure μ on X is said to be uniformly distributed if

for all points x and y of X and all 0 < r < +∞, where

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Uniformly distributed measure

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it turns out, uniformly distributed measures are very rigid objects. On any "decent" metric space, the uniformly distributed measures form a one-parameter...

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Equidistributed sequence

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s2, s3, ...) of real numbers is said to be equidistributed, or uniformly distributed, if the proportion of terms falling in a subinterval is proportional...

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Continuous uniform distribution

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which are effectively distributed according to the standard uniform distribution. On the other hand, the uniformly distributed numbers are often used...

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Distributed computing

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Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components...

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Empirical measure

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{\displaystyle F} by means of the empirical measure or empirical distribution function, respectively. These are uniformly good estimates under certain conditions...

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Equidistribution theorem

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theorem is the statement that the sequence a, 2a, 3a, ... mod 1 is uniformly distributed on the circle R / Z {\displaystyle \mathbb {R} /\mathbb {Z} } ,...

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Probability distribution

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number generator that produces numbers X {\displaystyle X} that are uniformly distributed in the half-open interval [0, 1). These random variates X {\displaystyle...

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Spherical measure

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same measure on Sn follows from an elegant result of Christensen: all these measures are obviously uniformly distributed on Sn, and any two uniformly distributed...

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Convergence of measures

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non-uniform in f. The notion of total variation convergence formalizes the assertion that the measure of all measurable sets should converge uniformly, i...

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Ergodicity

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ergodic is equivalent to the statement that the real numbers are uniformly distributed. The set of all such strings can be written in a variety of ways:...

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Hopkins statistic

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and are thus uniformly randomly distributed. If individuals are aggregated, then its value approaches 0, and if they are randomly distributed, the value...

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Probability theory

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of a probability space, which assigns a measure taking values between 0 and 1, termed the probability measure, to a set of outcomes called the sample...

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Random number generation

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phenomena and tools used to measure them generally feature asymmetries and systematic biases that make their outcomes not uniformly random. A randomness extractor...

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Law of large numbers

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way to generate the Cauchy-distributed example is where the random numbers equal the tangent of an angle uniformly distributed between −90° and +90°. The...

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Coefficient of variation

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percent RMS, and relative standard deviation (RSD), is a standardized measure of dispersion of a probability distribution or frequency distribution....

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Haar measure

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In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral...

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Discrepancy theory

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of classical discrepancy theory, namely distributing points in some space such that they are evenly distributed with respect to some (mostly geometrically...

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Erlang distribution

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{\displaystyle {\frac {k}{\lambda }}.} Erlang-distributed random variates can be generated from uniformly distributed random numbers ( U ∈ [ 0 , 1 ] {\displaystyle...

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Complex dynamics

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on the circle in terms of measure theory, the forward orbit of z is dense in the circle, and in fact uniformly distributed on the circle. There are also...

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Normal distribution

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producing uniform random variates. The most straightforward method is based on the probability integral transform property: if U is distributed uniformly on...

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Pair programming

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studies on pair programming." It concluded that "pair programming is not uniformly beneficial or effective." Although pair programmers may complete a task...

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Random forest

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\sigma ^{2}<\infty } . Moreover, X {\displaystyle \mathbf {X} } is uniformly distributed on [ 0 , 1 ] d {\displaystyle [0,1]^{d}} and m {\displaystyle m}...

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