When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Extrapolation - Wikipedia

    en.wikipedia.org/wiki/Extrapolation

    The calculation time can be omitted compared with the original convolution calculation. Hence with this algorithm the calculations of a convolution using the extrapolated data is nearly not increased. This is referred as the fast extrapolation. The fast extrapolation has been applied to CT image reconstruction. [7]

  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. Romberg's method - Wikipedia

    en.wikipedia.org/wiki/Romberg's_method

    After trapezoid rule estimates are obtained, Richardson extrapolation is applied. For the first iteration the two piece and one piece estimates are used in the formula ⁠ 4 × (more accurate) − (less accurate) / 3 ⁠. The same formula is then used to compare the four piece and the two piece estimate, and likewise for the higher estimates

  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. Numerical integration - Wikipedia

    en.wikipedia.org/wiki/Numerical_integration

    It is natural to ask what the result would be if the step size were allowed to approach zero. This can be answered by extrapolating the result from two or more nonzero step sizes, using series acceleration methods such as Richardson extrapolation. The extrapolation function may be a polynomial or rational function.

  7. Bulirsch–Stoer algorithm - Wikipedia

    en.wikipedia.org/wiki/Bulirsch–Stoer_algorithm

    The idea of Richardson extrapolation is to consider a numerical calculation whose accuracy depends on the used stepsize h as an (unknown) analytic function of the stepsize h, performing the numerical calculation with various values of h, fitting a (chosen) analytic function to the resulting points, and then evaluating the fitting function for h ...

  8. Interpolation - Wikipedia

    en.wikipedia.org/wiki/Interpolation

    The Theory of Functional Connections (TFC) is a mathematical framework specifically developed for functional interpolation.Given any interpolant that satisfies a set of constraints, TFC derives a functional that represents the entire family of interpolants satisfying those constraints, including those that are discontinuous or partially defined.

  9. Neville's algorithm - Wikipedia

    en.wikipedia.org/wiki/Neville's_algorithm

    This recurrence can calculate p 0,n (x), which is the value being sought. This is Neville's algorithm. This is Neville's algorithm. For instance, for n = 4, one can use the recurrence to fill the triangular tableau below from the left to the right.