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  2. Taylor's theorem - Wikipedia

    en.wikipedia.org/wiki/Taylor's_theorem

    In calculus, Taylor's theorem gives an approximation of a -times differentiable function around a given point by a polynomial of degree , called the -th-order Taylor polynomial. For a smooth function , the Taylor polynomial is the truncation at the order k {\textstyle k} of the Taylor series of the function.

  3. Taylor series - Wikipedia

    en.wikipedia.org/wiki/Taylor_series

    The function e (−1/x 2) is not analytic at x = 0: the Taylor series is identically 0, although the function is not. If f (x) is given by a convergent power series in an open disk centred at b in the complex plane (or an interval in the real line), it is said to be analytic in this region. Thus for x in this region, f is given by a convergent ...

  4. Taylor expansions for the moments of functions of random ...

    en.wikipedia.org/wiki/Taylor_expansions_for_the...

    In probability theory, it is possible to approximate the moments of a function f of a random variable X using Taylor expansions, provided that f is sufficiently differentiable and that the moments of X are finite. A simulation-based alternative to this approximation is the application of Monte Carlo simulations.

  5. Linearization - Wikipedia

    en.wikipedia.org/wiki/Linearization

    Linearization makes it possible to use tools for studying linear systems to analyze the behavior of a nonlinear function near a given point. The linearization of a function is the first order term of its Taylor expansion around the point of interest. For a system defined by the equation

  6. Radius of convergence - Wikipedia

    en.wikipedia.org/wiki/Radius_of_convergence

    Since y is real, that happens only if cos(y) = 1 and sin(y) = 0, so that y is an integer multiple of 2 π. Consequently the singular points of this function occur at z = a nonzero integer multiple of 2 π i. The singularities nearest 0, which is the center of the power series expansion, are at ±2 π i.

  7. Bregman divergence - Wikipedia

    en.wikipedia.org/wiki/Bregman_divergence

    The Bregman distance associated with F for points , is the difference between the value of F at point p and the value of the first-order Taylor expansion of F around point q evaluated at point p: (,) = () (), .

  8. Implicit function theorem - Wikipedia

    en.wikipedia.org/wiki/Implicit_function_theorem

    The unit circle can be specified as the level curve f(x, y) = 1 of the function f(x, y) = x 2 + y 2.Around point A, y can be expressed as a function y(x).In this example this function can be written explicitly as () =; in many cases no such explicit expression exists, but one can still refer to the implicit function y(x).

  9. Lagrange inversion theorem - Wikipedia

    en.wikipedia.org/wiki/Lagrange_inversion_theorem

    Suppose z is defined as a function of w by an equation of the form = where f is analytic at a point a and ′ Then it is possible to invert or solve the equation for w, expressing it in the form = given by a power series [1]