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  2. 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.

  3. L4 microkernel family - Wikipedia

    en.wikipedia.org/wiki/L4_microkernel_family

    Specifying the general idea of a microkernel, Liedtke states: . A concept is tolerated inside the microkernel only if moving it outside the kernel, i.e., permitting competing implementations, would prevent the implementation of the system's required functionality.

  4. Steffensen's method - Wikipedia

    en.wikipedia.org/wiki/Steffensen's_method

    The quotient form is shown here for orientation only; it is not required per se. Note also that division within the Banach space is not necessary for the elaborated Steffensen's method to be viable; the only requirement is that the operator G {\displaystyle \ G\ } satisfy the equation marked with the coronis , ( ⸎ ) .

  5. Levenberg–Marquardt algorithm - Wikipedia

    en.wikipedia.org/wiki/Levenberg–Marquardt...

    The (non-negative) damping factor ⁠ ⁠ is adjusted at each iteration. If reduction of ⁠ S {\displaystyle S} ⁠ is rapid, a smaller value can be used, bringing the algorithm closer to the Gauss–Newton algorithm , whereas if an iteration gives insufficient reduction in the residual, ⁠ λ {\displaystyle \lambda } ⁠ can be increased ...

  6. Template:L4 - Wikipedia

    en.wikipedia.org/wiki/Template:L4

    Place {} where normally would be written L 4. Optionally takes an argument nolink=yes to suppress the hyperlink, for use in headings and to avoid overlinking. Optionally takes an argument pt=yes to append the word "point" or "points". Optionally takes up to four unnamed parameters to allow the listing of a set of Lagrangian points

  7. Gauss–Seidel method - Wikipedia

    en.wikipedia.org/wiki/Gauss–Seidel_method

    At any step in a Gauss-Seidel iteration, solve the first equation for in terms of , …,; then solve the second equation for in terms of just found and the remaining , …,; and continue to . Then, repeat iterations until convergence is achieved, or break if the divergence in the solutions start to diverge beyond a predefined level.

  8. Plotting algorithms for the Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Plotting_algorithms_for...

    The result of each iteration is used as the starting values for the next. The values are checked during each iteration to see whether they have reached a critical "escape" condition, or "bailout". If that condition is reached, the calculation is stopped, the pixel is drawn, and the next x, y point is examined. For some starting values, escape ...

  9. Heap's algorithm - Wikipedia

    en.wikipedia.org/wiki/Heap's_algorithm

    A map of the 24 permutations and the 23 swaps used in Heap's algorithm permuting the four letters A (amber), B (blue), C (cyan) and D (dark red) Wheel diagram of all permutations of length = generated by Heap's algorithm, where each permutation is color-coded (1=blue, 2=green, 3=yellow, 4=red).