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  2. Radial basis function interpolation - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function...

    A plot of the condition number by the shape parameter for a 15x15 radial basis function interpolation matrix using the Gaussian On the opposite side of the spectrum, the condition number of the interpolation matrix will diverge to infinity as ε → 0 {\displaystyle \varepsilon \to 0} leading to ill-conditioning of the system.

  3. Multigrid method - Wikipedia

    en.wikipedia.org/wiki/Multigrid_method

    Interpolation or prolongation – interpolating a correction computed on a coarser grid into a finer grid. Correction – Adding prolongated coarser grid solution onto the finer grid. There are many choices of multigrid methods with varying trade-offs between speed of solving a single iteration and the rate of convergence with said iteration.

  4. QUICK scheme - Wikipedia

    en.wikipedia.org/wiki/Quick_scheme

    In computational fluid dynamics QUICK, which stands for Quadratic Upstream Interpolation for Convective Kinematics, is a higher-order differencing scheme that considers a three-point upstream weighted by quadratic interpolation for the cell face values.

  5. Polyharmonic spline - Wikipedia

    en.wikipedia.org/wiki/Polyharmonic_spline

    One straightforward approach to speeding up model construction and evaluation is to use a subset of nearest interpolation nodes to build a local model every time we evaluate the spline. As a result, the total time needed for model construction and evaluation at M {\displaystyle M} points changes from O ( N 3 + M N ) {\displaystyle O(N^{3}+MN ...

  6. Linear interpolation - Wikipedia

    en.wikipedia.org/wiki/Linear_interpolation

    Linear interpolation on a data set (red points) consists of pieces of linear interpolants (blue lines). Linear interpolation on a set of data points (x 0, y 0), (x 1, y 1), ..., (x n, y n) is defined as piecewise linear, resulting from the concatenation of linear segment interpolants between each pair of data points.

  7. Trilinear interpolation - Wikipedia

    en.wikipedia.org/wiki/Trilinear_interpolation

    Trilinear interpolation is the extension of linear interpolation, which operates in spaces with dimension =, and bilinear interpolation, which operates with dimension =, to dimension =. These interpolation schemes all use polynomials of order 1, giving an accuracy of order 2, and it requires 2 D = 8 {\displaystyle 2^{D}=8} adjacent pre-defined ...

  8. Centripetal Catmull–Rom spline - Wikipedia

    en.wikipedia.org/wiki/Centripetal_Catmull–Rom...

    The method is termed active spline model. [5] The model is devised on the basis of active shape model, but uses centripetal Catmull-Rom spline to join two successive points (active shape model uses simple straight line), so that the total number of points necessary to depict a shape is less. The use of centripetal Catmull-Rom spline makes the ...

  9. Smoothstep - Wikipedia

    en.wikipedia.org/wiki/Smoothstep

    Smoothstep is a family of sigmoid-like interpolation and clamping functions commonly used in computer graphics, [1] [2] video game engines, [3] and machine learning. [ 4 ] The function depends on three parameters, the input x , the "left edge" and the "right edge", with the left edge being assumed smaller than the right edge.