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  2. MUSCL scheme - Wikipedia

    en.wikipedia.org/wiki/MUSCL_scheme

    The simulation was carried out on a mesh of 200 cells using Matlab code (Wesseling, 2001), adapted to use the KT algorithm with Parabolic Extrapolation and van Albada limiter. The alternative form of van Albada limiter, ϕ v a ( r ) = 2 r 1 + r 2 {\displaystyle \phi _{va}(r)={\frac {2r}{1+r^{2}}}\ } , was used to avoid spurious oscillations.

  3. Bulirsch–Stoer algorithm - Wikipedia

    en.wikipedia.org/wiki/Bulirsch–Stoer_algorithm

    In numerical analysis, the Bulirsch–Stoer algorithm is a method for the numerical solution of ordinary differential equations which combines three powerful ideas: Richardson extrapolation, the use of rational function extrapolation in Richardson-type applications, and the modified midpoint method, [1] to obtain numerical solutions to ordinary ...

  4. Richardson extrapolation - Wikipedia

    en.wikipedia.org/wiki/Richardson_extrapolation

    The following pseudocode in MATLAB style demonstrates Richardson extrapolation to help solve the ODE ′ =, () = with the Trapezoidal method. In this example we halve the step size h {\displaystyle h} each iteration and so in the discussion above we'd have that t = 2 {\displaystyle t=2} .

  5. Romberg's method - Wikipedia

    en.wikipedia.org/wiki/Romberg's_method

    ROMBINT – code for MATLAB (author: Martin Kacenak) Free online integration tool using Romberg, Fox–Romberg, Gauss–Legendre and other numerical methods; SciPy implementation of Romberg's method; Romberg.jl — Julia implementation (supporting arbitrary factorizations, not just + points)

  6. 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 ]

  7. Iteratively reweighted least squares - Wikipedia

    en.wikipedia.org/wiki/Iteratively_reweighted...

    IRLS can be used for ℓ 1 minimization and smoothed ℓ p minimization, p < 1, in compressed sensing problems. It has been proved that the algorithm has a linear rate of convergence for ℓ 1 norm and superlinear for ℓ t with t < 1, under the restricted isometry property, which is generally a sufficient condition for sparse solutions.

  8. Aitken interpolation - Wikipedia

    en.wikipedia.org/wiki/Aitken_interpolation

    See also Aitken's delta-squared process or Aitken extrapolation. External links. Weisstein, Eric W. "Aitken Interpolation". MathWorld ... Code of Conduct;

  9. Modified Richardson iteration - Wikipedia

    en.wikipedia.org/wiki/Modified_Richardson_iteration

    Modified Richardson iteration is an iterative method for solving a system of linear equations.Richardson iteration was proposed by Lewis Fry Richardson in his work dated 1910.