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  2. Finite difference - Wikipedia

    en.wikipedia.org/wiki/Finite_difference

    The Newton series consists of the terms of the Newton forward difference equation, named after Isaac Newton; in essence, it is the Gregory–Newton interpolation formula [9] (named after Isaac Newton and James Gregory), first published in his Principia Mathematica in 1687, [10] [11] namely the discrete analog of the continuous Taylor expansion,

  3. Newton polynomial - Wikipedia

    en.wikipedia.org/wiki/Newton_polynomial

    Newton's form has the simplicity that the new points are always added at one end: Newton's forward formula can add new points to the right, and Newton's backward formula can add new points to the left. The accuracy of polynomial interpolation depends on how close the interpolated point is to the middle of the x values of the set of points used ...

  4. Polynomial interpolation - Wikipedia

    en.wikipedia.org/wiki/Polynomial_interpolation

    Since the relationship between divided differences and forward differences is given as: [4] [, +, …, +] =! (), Taking = (), if the representation of x in the previous sections was instead taken to be = +, the Newton forward interpolation formula is expressed as: () = (+) = = () which is the interpolation of all points after .

  5. Numerical differentiation - Wikipedia

    en.wikipedia.org/wiki/Numerical_differentiation

    This expression is Newton's difference quotient (also known as a first-order divided difference). The slope of this secant line differs from the slope of the tangent line by an amount that is approximately proportional to h. As h approaches zero, the slope of the secant line approaches the slope of the tangent line.

  6. Difference polynomials - Wikipedia

    en.wikipedia.org/wiki/Difference_polynomials

    Given an analytic function (), define the moving difference of f as = ()where is the forward difference operator.Then, provided that f obeys certain summability conditions, then it may be represented in terms of these polynomials as

  7. Difference quotient - Wikipedia

    en.wikipedia.org/wiki/Difference_quotient

    Difference quotients may also find relevance in applications involving Time discretization, where the width of the time step is used for the value of h. The difference quotient is sometimes also called the Newton quotient [10] [12] [13] [14] (after Isaac Newton) or Fermat's difference quotient (after Pierre de Fermat). [15]

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  9. Divided differences - Wikipedia

    en.wikipedia.org/wiki/Divided_differences

    In mathematics, divided differences is an algorithm, historically used for computing tables of logarithms and trigonometric functions. [citation needed] Charles Babbage's difference engine, an early mechanical calculator, was designed to use this algorithm in its operation. [1] Divided differences is a recursive division process.