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  2. 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.

  3. Finite-difference time-domain method - Wikipedia

    en.wikipedia.org/wiki/Finite-difference_time...

    Finite-difference time-domain (FDTD) or Yee's method (named after the Chinese American applied mathematician Kane S. Yee, born 1934) is a numerical analysis technique used for modeling computational electrodynamics (finding approximate solutions to the associated system of differential equations).

  4. Finite-difference frequency-domain method - Wikipedia

    en.wikipedia.org/wiki/Finite-difference...

    The method works by transforming Maxwell's equations (or other partial differential equation) for sources and fields at a constant frequency into matrix form =. The matrix A is derived from the wave equation operator, the column vector x contains the field components, and the column vector b describes the source. The method is capable of ...

  5. MacCormack method - Wikipedia

    en.wikipedia.org/wiki/MacCormack_method

    In computational fluid dynamics, the MacCormack method (/məˈkɔːrmæk ˈmɛθəd/) is a widely used discretization scheme for the numerical solution of hyperbolic partial differential equations. This second-order finite difference method was introduced by Robert W. MacCormack in 1969. [ 1 ]

  6. Numerical methods in fluid mechanics - Wikipedia

    en.wikipedia.org/wiki/Numerical_Methods_in_Fluid...

    The CPU time to solve the system of equations differs substantially from method to method. Finite differences are usually the cheapest on a per grid point basis followed by the finite element method and spectral method. However, a per grid point basis comparison is a little like comparing apple and oranges.

  7. Computational electromagnetics - Wikipedia

    en.wikipedia.org/wiki/Computational_electromagnetics

    Finite-difference frequency-domain (FDFD) provides a rigorous solution to Maxwell’s equations in the frequency-domain using the finite-difference method. [13] FDFD is arguably the simplest numerical method that still provides a rigorous solution. It is incredibly versatile and able to solve virtually any problem in electromagnetics.

  8. Wave equation - Wikipedia

    en.wikipedia.org/wiki/Wave_equation

    The wave equation is a second-order linear partial differential equation for the description of waves or standing wave fields such as mechanical waves (e.g. water waves, sound waves and seismic waves) or electromagnetic waves (including light waves). It arises in fields like acoustics, electromagnetism, and fluid dynamics.

  9. Von Neumann stability analysis - Wikipedia

    en.wikipedia.org/wiki/Von_Neumann_stability_analysis

    The von Neumann method is based on the decomposition of the errors into Fourier series.To illustrate the procedure, consider the one-dimensional heat equation = defined on the spatial interval , with the notation = (,) where are the specific x values, and are the sequence of t values.