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  • Approximately continuous function
  • Mathematical concept in measure theory

    analysis and measure theory, an approximately continuous function is a concept that generalizes the notion of continuous functions by replacing the ordinary

    Approximately continuous function

    Approximately_continuous_function

  • Continuous function
  • Mathematical function with no sudden changes

    In mathematics, a continuous function is a function such that a small variation of its argument induces at most a small variation of its value. This implies

    Continuous function

    Continuous_function

  • Differentiable function
  • Mathematical function whose derivative exists

    also a continuous function over the domain of f. Continuous functions may be nowhere differentiable in their domain, such as the Weierstrass function. Taking

    Differentiable function

    Differentiable function

    Differentiable_function

  • Universal approximation theorem
  • Property of artificial neural networks

    neural networks with a certain structure can, in principle, approximate any continuous function to any desired degree of accuracy. These theorems provide

    Universal approximation theorem

    Universal_approximation_theorem

  • Bernstein polynomial
  • Type of polynomial used in Numerical Analysis

    A continuous function on a compact interval must be uniformly continuous. Thus, the value of any continuous function can be uniformly approximated by

    Bernstein polynomial

    Bernstein polynomial

    Bernstein_polynomial

  • Probability density function
  • Description of continuous random distribution

    probability density function (PDF), density function, or simply density of an absolutely continuous random variable, is a function whose value at any given

    Probability density function

    Probability density function

    Probability_density_function

  • Smoothness
  • Degree of differentiability of a function or map

    value function f(x)=|x| has class C0, because it is continuous, but not differentiable. Generally, the term smooth function refers to a C∞-function, that

    Smoothness

    Smoothness

    Smoothness

  • Continuous uniform distribution
  • Uniform distribution on an interval

    contained in the distribution's support. The probability density function of the continuous uniform distribution is f ( x ) = { 1 b − a for  a ≤ x ≤ b , 0

    Continuous uniform distribution

    Continuous uniform distribution

    Continuous_uniform_distribution

  • Softmax function
  • Smooth approximation of one-hot arg max

    is continuous, but arg max is not continuous at the singular set where two coordinates are equal, while the uniform limit of continuous functions is continuous

    Softmax function

    Softmax_function

  • Window function
  • Function used in signal processing

    processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside

    Window function

    Window function

    Window_function

  • Piecewise linear function
  • Type of mathematical function

    this function is also continuous. The graph of a continuous piecewise linear function on a compact interval is a polygonal chain. (*) A linear function satisfies

    Piecewise linear function

    Piecewise_linear_function

  • Dirac delta function
  • Generalized function whose value is zero everywhere except at zero

    called the delta function because it is a continuous analogue of the Kronecker delta function. The mathematical rigor of the delta function was disputed until

    Dirac delta function

    Dirac delta function

    Dirac_delta_function

  • Semi-continuity
  • Property of functions which is weaker than continuity

    \mathbb {R} } , and upper semi-continuous if − f {\displaystyle -f} is lower semi-continuous. A function is continuous if and only if it is both upper

    Semi-continuity

    Semi-continuity

    Semi-continuity

  • Simplicial map
  • simplex always span a simplex. Simplicial maps can be used to approximate continuous functions between topological spaces that can be triangulated; this is

    Simplicial map

    Simplicial_map

  • Convolution
  • Integral expressing the amount of overlap of one function as it is shifted over another

    one function is modified by the other. Some features of convolution are similar to cross-correlation: for real-valued functions, of a continuous or discrete

    Convolution

    Convolution

    Convolution

  • Bounded variation
  • Real function with finite total variation

    bounded (finite): the graph of a function having this property is well behaved in a precise sense. For a continuous function of a single variable, being of

    Bounded variation

    Bounded_variation

  • Support (mathematics)
  • Inputs for which a function's value is non-zero

    smooth functions approximating nonsmooth (generalized) functions, via convolution. In a locally compact Hausdorff space, continuous functions with compact

    Support (mathematics)

    Support_(mathematics)

  • Intermediate value theorem
  • Continuous function on an interval takes on every value between its values at the ends

    intermediate value theorem states that if f {\displaystyle f} is a continuous function whose domain contains the interval [a, b] and s {\displaystyle s}

    Intermediate value theorem

    Intermediate value theorem

    Intermediate_value_theorem

  • Stone–Weierstrass theorem
  • Mathematical theorem in the study of analysis

    that every continuous function defined on a closed interval [a, b] can be uniformly approximated as closely as desired by a polynomial function. Because

    Stone–Weierstrass theorem

    Stone–Weierstrass_theorem

  • Fourier transform
  • Mathematical transform that expresses a function of time as a function of frequency

    uniformly continuous function of ξ which decays to zero as ⁠ξ→∞⁠. However, the Fourier transform can also be defined for (generalized) functions for which

    Fourier transform

    Fourier transform

    Fourier_transform

  • Uniform convergence
  • Mode of convergence of a function sequence

    uniform limit of a sequence of continuous functions is automatically continuous; the uniform limit of Riemann integrable functions is automatically Riemann

    Uniform convergence

    Uniform convergence

    Uniform_convergence

  • Space-filling curve
  • Curve whose range contains the unit square

    endpoints) is a continuous function whose domain is the unit interval [0, 1]. In the most general form, the range of such a function may lie in an arbitrary

    Space-filling curve

    Space-filling_curve

  • Derivative
  • Instantaneous rate of change (mathematics)

    differentiable at ⁠a⁠, then f must also be continuous at ⁠a⁠. As an example, choose a point a and let f be the step function that returns the value 1 for all x

    Derivative

    Derivative

    Derivative

  • Scoring rule
  • Measure for evaluating probabilistic forecasts

    (through approximating the expectation value). Furthermore, when the cumulative probability function F {\displaystyle F} is continuous, the continuous ranked

    Scoring rule

    Scoring rule

    Scoring_rule

  • Sign function
  • Function returning minus 1, zero or plus 1

    frequent constraint. One solution can be to approximate the sign function by a smooth continuous function; others might involve less stringent approaches

    Sign function

    Sign function

    Sign_function

  • Multilayer perceptron
  • Type of feedforward neural network

    function as its nonlinear activation function. However, the backpropagation algorithm requires that modern MLPs use continuous activation functions such

    Multilayer perceptron

    Multilayer_perceptron

  • Heaviside step function
  • Indicator function of positive numbers

    also use a scaled and shifted Sigmoid function. In general, any cumulative distribution function of a continuous probability distribution that is peaked

    Heaviside step function

    Heaviside step function

    Heaviside_step_function

  • Nyquist–Shannon sampling theorem
  • Sufficiency theorem for reconstructing signals from samples

    that when one reduces a continuous function to a discrete sequence and interpolates back to a continuous function, the fidelity of the result depends

    Nyquist–Shannon sampling theorem

    Nyquist–Shannon sampling theorem

    Nyquist–Shannon_sampling_theorem

  • Maximum and minimum
  • Largest and smallest value taken by a function at a given point

    points. A continuous real-valued function with a compact domain always has a maximum point and a minimum point. An important example is a function whose domain

    Maximum and minimum

    Maximum and minimum

    Maximum_and_minimum

  • Minkowski's question-mark function
  • Function with unusual fractal properties

    function provides the correspondence in each case. The question-mark function is a strictly increasing and continuous, but not absolutely continuous function

    Minkowski's question-mark function

    Minkowski's question-mark function

    Minkowski's_question-mark_function

  • Quantile
  • Statistical method of dividing data into equal-sized intervals for analysis

    discrete values or for a continuous population density, the k-th q-quantile is the data value where the cumulative distribution function crosses k/q. That is

    Quantile

    Quantile

    Quantile

  • Inverse function theorem
  • Theorem in mathematics

    is not zero, f has an inverse function. The inverse function is also continuously differentiable, and the inverse function rule expresses its derivative

    Inverse function theorem

    Inverse function theorem

    Inverse_function_theorem

  • Fundamental theorem of calculus
  • Relationship between derivatives and integrals

    theorem, the first fundamental theorem of calculus, states that for a continuous function f , an antiderivative or indefinite integral F can be obtained as

    Fundamental theorem of calculus

    Fundamental_theorem_of_calculus

  • Normal distribution
  • Probability distribution

    is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is f(x)=12πσ2exp⁡(−(x−μ)22σ2)

    Normal distribution

    Normal distribution

    Normal_distribution

  • Generalized linear model
  • Class of statistical models

    (or logit models). Alternatively, the inverse of any continuous cumulative distribution function (CDF) can be used for the link since the CDF's range

    Generalized linear model

    Generalized_linear_model

  • Gaussian function
  • Mathematical function

    Gaussian variation is also a Gaussian function. The fact that the Gaussian function is an eigenfunction of the continuous Fourier transform allows us to derive

    Gaussian function

    Gaussian_function

  • Khinchin integral
  • Definition of mathematical integration

    Lebesgue-measurable function is approximately continuous almost everywhere (and conversely). The key theorem in constructing the Khinchin integral is this: a function f

    Khinchin integral

    Khinchin_integral

  • Logarithm
  • Mathematical function, inverse of an exponential function

    of functions pass to their inverses. Thus, as f(x) = bx is a continuous and differentiable function, so is logb y. Roughly, a continuous function is differentiable

    Logarithm

    Logarithm

    Logarithm

  • Blancmange curve
  • Fractal curve resembling a blancmange pudding

    < 1 {\displaystyle |w|<1} . The Takagi function of parameter w {\displaystyle w} is continuous. The functions T w , n {\displaystyle T_{w,n}} defined

    Blancmange curve

    Blancmange curve

    Blancmange_curve

  • Compound interest
  • Compounding sum paid for the use of money

    . For any continuously differentiable accumulation function a(t), the force of interest, or more generally the logarithmic or continuously compounded

    Compound interest

    Compound interest

    Compound_interest

  • Entropy (information theory)
  • Average uncertainty in variable's states

    denoted by pn. As the continuous domain is generalized, the width must be made explicit. To do this, start with a continuous function f discretized into

    Entropy (information theory)

    Entropy_(information_theory)

  • Riemann zeta function
  • Analytic function in mathematics

    Riemann zeta function, or Euler–Riemann zeta function, denoted by the lowercase Greek letter ⁠ ζ {\displaystyle \zeta } ⁠ (zeta), is a function of a complex

    Riemann zeta function

    Riemann zeta function

    Riemann_zeta_function

  • Brouwer fixed-point theorem
  • Theorem in topology

    in topology, named after L. E. J. Brouwer. It states that for any continuous function f mapping a nonempty compact convex set to itself, there is a point

    Brouwer fixed-point theorem

    Brouwer_fixed-point_theorem

  • Gamma function
  • Extension of the factorial function

    ^{+}} ⁠. Thus this normalization makes it clearer that the gamma function is a continuous analogue of a Gauss sum. It is somewhat problematic that a large

    Gamma function

    Gamma function

    Gamma_function

  • Spectrum (functional analysis)
  • Set of eigenvalues of a matrix

    surjective, is called the continuous spectrum of T, denoted by σ c ( T ) {\displaystyle \sigma _{\mathbb {c} }(T)} . The continuous spectrum therefore consists

    Spectrum (functional analysis)

    Spectrum_(functional_analysis)

  • Discretization
  • Conversion of continuous functions into discrete counterparts

    applied mathematics, discretization is the process of transferring continuous functions, models, variables, and equations into discrete counterparts. This

    Discretization

    Discretization

    Discretization

  • Limit of a function
  • Point to which functions converge in analysis

    the concept of limit: roughly, a function is continuous if all of its limits agree with the values of the function. The concept of limit also appears

    Limit of a function

    Limit_of_a_function

  • Mathematical optimization
  • Study of mathematical algorithms for optimization problems

    Methods that evaluate only function values: If a problem is continuously differentiable, then gradients can be approximated using finite differences, in

    Mathematical optimization

    Mathematical optimization

    Mathematical_optimization

  • Activation function
  • Artificial neural network node function

    proven to be a universal function approximator. This is known as the Universal Approximation Theorem. The identity activation function does not satisfy this

    Activation function

    Activation function

    Activation_function

  • Real analysis
  • Mathematics of real numbers and real functions

    integral of the functions in a sequence passes to the integral of the limit function. But the uniform limit of continuous functions is continuous, and one can

    Real analysis

    Real_analysis

  • Likelihood function
  • Function related to statistics and probability theory

    likelihood function, parameterized by a (possibly multivariate) parameter θ {\textstyle \theta } , is usually defined differently for discrete and continuous probability

    Likelihood function

    Likelihood_function

  • Baire function
  • In mathematics, Baire functions are functions obtained from continuous functions by transfinite iteration of the operation of forming pointwise limits

    Baire function

    Baire_function

  • Zeta function universality
  • Zeta-like functions approximate arbitrary holomorphic functions

    zeta functions is the remarkable ability of the Riemann zeta function and other similar functions (such as the Dirichlet L-functions) to approximate arbitrary

    Zeta function universality

    Zeta function universality

    Zeta_function_universality

  • Huber loss
  • Loss function used in robust regression

    {\displaystyle \delta } value. The Pseudo-Huber loss function ensures that derivatives are continuous for all degrees. It is defined as L δ ( a ) = δ 2 (

    Huber loss

    Huber_loss

  • Factorial
  • Product of numbers from 1 to n

    factorial function to a continuous function of complex numbers, except at the negative integers, the (offset) gamma function. Many other notable functions and

    Factorial

    Factorial

  • Deep learning
  • Branch of machine learning

    finite size to approximate continuous functions. In 1989, the first proof was published by George Cybenko for sigmoid activation functions and was generalised

    Deep learning

    Deep learning

    Deep_learning

  • Logistic function
  • S-shaped curve

    modeled as a periodic function (of period T {\displaystyle T} ) or (in case of continuous infusion therapy) as a constant function, and one has that 1 T

    Logistic function

    Logistic function

    Logistic_function

  • Korovkin approximation
  • the approximation of a function is given by a certain sequence of functions. In practice a continuous function can be approximated by polynomials. Korovkin

    Korovkin approximation

    Korovkin_approximation

  • Sobolev space
  • Vector space of functions in mathematics

    Sobolev spaces, even when there are no strong solutions in spaces of continuous functions with the derivatives understood in the classical sense. Throughout

    Sobolev space

    Sobolev_space

  • Quantile function
  • Statistical function that defines the quantiles of a probability distribution

    function or inverse distribution function. With reference to a continuous and strictly increasing cumulative distribution function (c.d.f.) F X : R → [ 0 , 1

    Quantile function

    Quantile function

    Quantile_function

  • Partition function (statistical mechanics)
  • Function in thermodynamics and statistical physics

    is discrete or continuous.[citation needed] For a canonical ensemble that is classical and discrete, the canonical partition function is defined as Z

    Partition function (statistical mechanics)

    Partition function (statistical mechanics)

    Partition_function_(statistical_mechanics)

  • Distributed parameter system
  • System with an infinite-dimensional state-space

    in the finite-dimensional case the transfer function is defined through the Laplace transform (continuous-time) or Z-transform (discrete-time). Whereas

    Distributed parameter system

    Distributed_parameter_system

  • Rule of 72
  • Methods of estimating the doubling time of an investment

    to obtain the approximate number of periods required for doubling. Although scientific calculators and spreadsheet programs have functions to find the accurate

    Rule of 72

    Rule_of_72

  • Ricker wavelet
  • Wavelet proportional to the second derivative of a Gaussian

    of a Gaussian function, i.e., up to scale and normalization, the second Hermite function. It is a special case of the family of continuous wavelets (wavelets

    Ricker wavelet

    Ricker wavelet

    Ricker_wavelet

  • Continuous production
  • Production method without interruption

    Continuous production is a flow production method used to manufacture, produce, or process materials without interruption. Continuous production is called

    Continuous production

    Continuous_production

  • Transfer function
  • Function specifying the behavior of a component in an electronic or control system

    a transfer function (also known as system function or network function) of a system, sub-system, or component is a mathematical function that models

    Transfer function

    Transfer_function

  • Kolmogorov–Smirnov test
  • Statistical test comparing two probability distributions

    The Wolfram Function Repository function KS2Sample computes the exact p-value of the weighted or unweighted two-sample KS test for continuous, discrete

    Kolmogorov–Smirnov test

    Kolmogorov–Smirnov test

    Kolmogorov–Smirnov_test

  • Runge's phenomenon
  • Failure of convergence in interpolation

    continuous function f ( x ) {\displaystyle f(x)} defined on an interval [ a , b ] {\displaystyle [a,b]} , there exists a set of polynomial functions P

    Runge's phenomenon

    Runge's phenomenon

    Runge's_phenomenon

  • Set-valued function
  • Function whose values are sets (mathematics)

    multifunctions via continuous functions explains why upper hemicontinuity is more preferred than lower hemicontinuity. Nevertheless, lower semi-continuous multifunctions

    Set-valued function

    Set-valued function

    Set-valued_function

  • E (mathematical constant)
  • Base of natural logarithms

    constant that is the base of the natural logarithm and exponential function. It is approximately equal to 2.718281828459045235360287471352 e plays important

    E (mathematical constant)

    E (mathematical constant)

    E_(mathematical_constant)

  • Trigonometric functions
  • Functions of an angle

    mathematics, the trigonometric functions (also called circular functions, angle functions or goniometric functions) are real functions which relate an angle of

    Trigonometric functions

    Trigonometric functions

    Trigonometric_functions

  • Taylor's theorem
  • Approximation of a function by a polynomial

    Let f(x) be any real-valued continuous function to be approximated by the Taylor polynomial. Step 1: Let F and G be functions. Set F and G to be F(x)=f(x)−∑k=0n−1f(k)(a)k

    Taylor's theorem

    Taylor's theorem

    Taylor's_theorem

  • Arg max
  • Inputs at which function values are highest

    {\displaystyle \pm \pi /2.} However, by the extreme value theorem, a continuous real-valued function on a closed interval has a maximum, and thus a nonempty argmax

    Arg max

    Arg max

    Arg_max

  • Voigt profile
  • Probability distribution

    fz-juelich.de/mlz/libcerf, numeric C library for complex error functions, provides a function voigt(x, sigma, gamma) with approximately 13–14 digits precision.

    Voigt profile

    Voigt profile

    Voigt_profile

  • Integral
  • Operation in calculus

    Although all bounded piecewise continuous functions are Riemann-integrable on a bounded interval, subsequently more general functions were considered—particularly

    Integral

    Integral

    Integral

  • Hilbert's problems
  • 23 mathematical problems stated in 1900

    points. Lie's concept of a continuous group of transformations without the assumption of the differentiability of the functions defining the group Mathematical

    Hilbert's problems

    Hilbert's problems

    Hilbert's_problems

  • Fourier analysis
  • Branch of mathematics

    used to approximate the other four variants. Most often, the unqualified term Fourier transform refers to the transform of functions of a continuous real

    Fourier analysis

    Fourier analysis

    Fourier_analysis

  • Lebesgue integral
  • Method of mathematical integration

    mainly piecewise continuous functions, including elementary functions, for example polynomials. However, the graphs of other functions, for example the

    Lebesgue integral

    Lebesgue integral

    Lebesgue_integral

  • Physics-informed neural networks
  • Technique to solve partial differential equations

    theory-trained neural networks (TTNs), are a type of universal function approximator that can embed the knowledge of any physical laws that govern a

    Physics-informed neural networks

    Physics-informed neural networks

    Physics-informed_neural_networks

  • Complex analysis
  • Branch of mathematics studying functions of a complex variable

    \mathbb {R} .} A complex function is continuous if and only if its associated vector-valued function of two variables is also continuous. However, this identification

    Complex analysis

    Complex analysis

    Complex_analysis

  • Antiderivative
  • Indefinite integral

    of functions) Inverse function integration (a formula that expresses the antiderivative of the inverse f−1 of an invertible and continuous function f,

    Antiderivative

    Antiderivative

    Antiderivative

  • Pathological (mathematics)
  • Counterintuitive mathematical object

    Weierstrass function, a function that is continuous everywhere but differentiable nowhere. The sum of a differentiable function and the Weierstrass function is

    Pathological (mathematics)

    Pathological (mathematics)

    Pathological_(mathematics)

  • Autocorrelation
  • Correlation of a signal with a time-shifted copy of itself, as a function of shift

    discrete-time process or a real number for a continuous-time process.) Then the definition of the autocorrelation function between times t 1 {\displaystyle t_{1}}

    Autocorrelation

    Autocorrelation

    Autocorrelation

  • Wave function
  • Mathematical description of quantum state

    When a system has internal degrees of freedom, the wave function at each point in the continuous degrees of freedom (e.g., a point in space) assigns a complex

    Wave function

    Wave function

    Wave_function

  • Root mean square
  • Square root of the mean square

    a continuous function is denoted f R M S {\displaystyle f_{\mathrm {RMS} }} and can be defined in terms of an integral of the square of the function. In

    Root mean square

    Root_mean_square

  • Halley's method
  • Root-finding algorithm

    Halley's method is a root-finding algorithm used for functions of one real variable with a continuous second derivative. Edmond Halley was an English mathematician

    Halley's method

    Halley's_method

  • Kolmogorov–Arnold representation theorem
  • Multivariate functions can be written using univariate functions and summing

    multivariate continuous function f : [ 0 , 1 ] n → R {\displaystyle f\colon [0,1]^{n}\to \mathbb {R} } can be represented as a superposition of continuous single-variable

    Kolmogorov–Arnold representation theorem

    Kolmogorov–Arnold_representation_theorem

  • Root-finding algorithm
  • Algorithms for zeros of functions

    zeros. The functions considered are typically continuous or, for most algorithms, differentiable. For real functions and complex functions, the approximations

    Root-finding algorithm

    Root-finding algorithm

    Root-finding_algorithm

  • Test function
  • Auxiliary functions used to probe equations, distributions, and weak formulations

    Test functions are auxiliary functions used in mathematical analysis to probe other functions, distributions, differential equations, or variational identities

    Test function

    Test_function

  • Selection theorem
  • Mathematical method

    convex. If graph(Φ) is closed, then for every ε > 0 there exists a continuous function f : X → Y with graph(f) ⊂ [graph(Φ)]ε. Here, [ S ] ε {\displaystyle

    Selection theorem

    Selection_theorem

  • Survival function
  • Probability of survival beyond any specified time

    {\displaystyle T} be a continuous random variable describing the time to failure. If T {\displaystyle T} has cumulative distribution function F ( t ) {\displaystyle

    Survival function

    Survival_function

  • Noether's theorem
  • Statement relating differentiable symmetries to conserved quantities

    Lagrangian function, from which the system's behavior can be determined by the principle of least action. This theorem applies to continuous and smooth

    Noether's theorem

    Noether's theorem

    Noether's_theorem

  • Riemann integral
  • Basic integral in elementary calculus

    sums of areas of vertical rectangles. For suitable functions, including every continuous function on a closed bounded interval, these Riemann sums approach

    Riemann integral

    Riemann integral

    Riemann_integral

  • Impulse invariance
  • copies of the frequency response of the continuous-time system; if the continuous-time system is approximately band-limited to a frequency less than the

    Impulse invariance

    Impulse_invariance

  • Spectrum (physical sciences)
  • Concept relating to waves and signals

    In the physical sciences, spectrum describes any continuous range of either frequency or wavelength values. The term initially referred to the range of

    Spectrum (physical sciences)

    Spectrum (physical sciences)

    Spectrum_(physical_sciences)

  • Trapezoidal rule
  • Numerical integration method

    rule for functions which are twice continuously differentiable, though not in all specific cases. However, for various classes of rougher functions (ones

    Trapezoidal rule

    Trapezoidal rule

    Trapezoidal_rule

  • Lusin's theorem
  • Theorem in measure theory

    criterion states that an almost-everywhere finite function is measurable if and only if it is a continuous function on nearly all its domain. In the informal

    Lusin's theorem

    Lusin's_theorem

  • Capillary
  • Smallest type of blood vessel

    have slit pores with a function analogous to the diaphragm of the capillaries. Both of these types of blood vessels have continuous basal laminae and are

    Capillary

    Capillary

    Capillary

  • Jacobian matrix and determinant
  • Matrix of partial derivatives of a vector-valued function

    continuously differentiable function f is invertible near a point p ∈ Rn if the Jacobian determinant at p is non-zero. This is the inverse function theorem

    Jacobian matrix and determinant

    Jacobian_matrix_and_determinant

  • Continuous stirred-tank reactor
  • Type of chemical reactor

    The continuous stirred-tank reactor (CSTR), also known as vat- or backmix reactor, mixed flow reactor (MFR), or a continuous-flow stirred-tank reactor

    Continuous stirred-tank reactor

    Continuous stirred-tank reactor

    Continuous_stirred-tank_reactor

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