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  2. Sequence transformation - Wikipedia

    en.wikipedia.org/wiki/Sequence_transformation

    The binomial transform and the Stirling transform are two linear transformations of a more general type. An example of a nonlinear sequence transformation is Aitken's delta-squared process, used to improve the rate of convergence of a slowly convergent sequence. An extended form of this is the Shanks transformation. The Möbius transform is ...

  3. Richardson extrapolation - Wikipedia

    en.wikipedia.org/wiki/Richardson_extrapolation

    An example of Richardson extrapolation method in two dimensions. In numerical analysis , Richardson extrapolation is a sequence acceleration method used to improve the rate of convergence of a sequence of estimates of some value A ∗ = lim h → 0 A ( h ) {\displaystyle A^{\ast }=\lim _{h\to 0}A(h)} .

  4. Series acceleration - Wikipedia

    en.wikipedia.org/wiki/Series_acceleration

    Examples of such nonlinear sequence transformations are Padé approximants, the Shanks transformation, and Levin-type sequence transformations. Especially nonlinear sequence transformations often provide powerful numerical methods for the summation of divergent series or asymptotic series that arise for instance in perturbation theory , and ...

  5. Aitken's delta-squared process - Wikipedia

    en.wikipedia.org/wiki/Aitken's_delta-squared_process

    In numerical analysis, Aitken's delta-squared process or Aitken extrapolation is a series acceleration method used for accelerating the rate of convergence of a sequence. It is named after Alexander Aitken, who introduced this method in 1926. [1] It is most useful for accelerating the convergence of a sequence that is converging linearly.

  6. Series (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Series_(mathematics)

    Partial summation of a sequence is an example of a linear sequence transformation, and it is also known as the prefix sum in computer science. The inverse transformation for recovering a sequence from its partial sums is the finite difference , another linear sequence transformation.

  7. Silverman–Toeplitz theorem - Wikipedia

    en.wikipedia.org/wiki/Silverman–Toeplitz_theorem

    The linear sequence transformation can be applied to the divergent sequences of partial sums of divergent series to give those series generalized sums. An infinite matrix ( a i , j ) i , j ∈ N {\displaystyle (a_{i,j})_{i,j\in \mathbb {N} }} with complex -valued entries defines a regular matrix summability method if and only if it satisfies ...

  8. List of transforms - Wikipedia

    en.wikipedia.org/wiki/List_of_transforms

    Legendre transformation; Möbius transformation; Perspective transform (computer graphics) Sequence transform; Watershed transform (digital image processing) Wavelet transform (orthonormal) Y-Δ transform (electrical circuits)

  9. Stirling transform - Wikipedia

    en.wikipedia.org/wiki/Stirling_transform

    In combinatorial mathematics, the Stirling transform of a sequence { a n : n = 1, 2, 3, ... This is a linear sequence transformation. The inverse transform is = ...

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