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  2. Approximation - Wikipedia

    en.wikipedia.org/wiki/Approximation

    Approximation is a key word generally employed within the title of a directive, for example the Trade Marks Directive of 16 December 2015 serves "to approximate the laws of the Member States relating to trade marks". [11] The European Commission describes approximation of law as "a unique obligation of membership in the European Union". [10]

  3. Metaphor and metonymy - Wikipedia

    en.wikipedia.org/wiki/Metaphor_and_metonymy

    According to Freud's work (1900), condensation and displacement (from German Verdichtung and Verschiebung) are two closely linked concepts. [10] In the unconscious, through the dynamic movement of cathexis (charge of libido, mental or emotional energy), it is possible that an idea (image, memory, or thought) passes on its whole charge to another idea; Freud called this process "displacement."

  4. Closed-form expression - Wikipedia

    en.wikipedia.org/wiki/Closed-form_expression

    The quadratic formula =. is a closed form of the solutions to the general quadratic equation + + =. More generally, in the context of polynomial equations, a closed form of a solution is a solution in radicals; that is, a closed-form expression for which the allowed functions are only n th-roots and field operations (+,,, /).

  5. Mathematical coincidence - Wikipedia

    en.wikipedia.org/wiki/Mathematical_coincidence

    For example, there is a near-equality close to the round number 1000 between powers of 2 and powers of 10: 2 10 = 1024 ≈ 1000 = 10 3 . {\displaystyle 2^{10}=1024\approx 1000=10^{3}.} Some mathematical coincidences are used in engineering when one expression is taken as an approximation of another.

  6. Order of approximation - Wikipedia

    en.wikipedia.org/wiki/Order_of_approximation

    In the zeroth-order example above, the quantity "a few" was given, but in the first-order example, the number "4" is given. A first-order approximation of a function (that is, mathematically determining a formula to fit multiple data points) will be a linear approximation, straight line with a slope: a polynomial of degree 1. For example:

  7. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    This x-intercept will typically be a better approximation to the original function's root than the first guess, and the method can be iterated. x n+1 is a better approximation than x n for the root x of the function f (blue curve) If the tangent line to the curve f(x) at x = x n intercepts the x-axis at x n+1 then the slope is