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  2. Multigrid method - Wikipedia

    en.wikipedia.org/wiki/Multigrid_method

    Its main advantage versus a purely multigrid solver is particularly clear for nonlinear problems, e.g., eigenvalue problems. If the matrix of the original equation or an eigenvalue problem is symmetric positive definite (SPD), the preconditioner is commonly constructed to be SPD as well, so that the standard conjugate gradient (CG) iterative ...

  3. Spectral method - Wikipedia

    en.wikipedia.org/wiki/Spectral_method

    Compute the Fourier transform (b j,k) of g.Compute the Fourier transform (a j,k) of f via the formula ().Compute f by taking an inverse Fourier transform of (a j,k).; Since we're only interested in a finite window of frequencies (of size n, say) this can be done using a fast Fourier transform algorithm.

  4. Linear recurrence with constant coefficients - Wikipedia

    en.wikipedia.org/wiki/Linear_recurrence_with...

    In mathematics (including combinatorics, linear algebra, and dynamical systems), a linear recurrence with constant coefficients [1]: ch. 17 [2]: ch. 10 (also known as a linear recurrence relation or linear difference equation) sets equal to 0 a polynomial that is linear in the various iterates of a variable—that is, in the values of the elements of a sequence.

  5. Spectral element method - Wikipedia

    en.wikipedia.org/wiki/Spectral_element_method

    In the numerical solution of partial differential equations, a topic in mathematics, the spectral element method (SEM) is a formulation of the finite element method (FEM) that uses high-degree piecewise polynomials as basis functions. The spectral element method was introduced in a 1984 paper [1] by A. T. Patera. Although Patera is credited ...

  6. Finite difference method - Wikipedia

    en.wikipedia.org/wiki/Finite_difference_method

    To use a finite difference method to approximate the solution to a problem, one must first discretize the problem's domain. This is usually done by dividing the domain into a uniform grid (see image). This means that finite-difference methods produce sets of discrete numerical approximations to the derivative, often in a "time-stepping" manner.

  7. MacCormack method - Wikipedia

    en.wikipedia.org/wiki/MacCormack_method

    The MacCormack method is well suited for nonlinear equations (Inviscid Burgers equation, Euler equations, etc.)The order of differencing can be reversed for the time step (i.e., forward/backward followed by backward/forward).

  8. Hilbert–Huang transform - Wikipedia

    en.wikipedia.org/wiki/Hilbert–Huang_transform

    The difference between the data and m 1 is the first component h 1: X ( t ) − m 1 = h 1 . {\displaystyle X(t)-m_{1}=h_{1}.\,} Ideally, h 1 should satisfy the definition of an IMF, since the construction of h 1 described above should have made it symmetric and having all maxima positive and all minima negative.

  9. Ansys HFSS - Wikipedia

    en.wikipedia.org/wiki/Ansys_HFSS

    Ansys HFSS (high-frequency structure simulator) is a commercial finite element method solver for electromagnetic (EM) structures from Ansys. [ 1 ] Engineers use Ansys HFSS primarily to design and simulate high-speed, high-frequency electronics in radar systems, communication systems, satellites, ADAS, microchips, printed circuit boards, IoT ...