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  2. Finite volume method for two dimensional diffusion problem

    en.wikipedia.org/wiki/Finite_volume_method_for...

    The methods used for solving two dimensional Diffusion problems are similar to those used for one dimensional problems. The general equation for steady diffusion can be easily derived from the general transport equation for property Φ by deleting transient and convective terms [1]

  3. Finite volume method for one-dimensional steady state diffusion

    en.wikipedia.org/wiki/Finite_volume_method_for...

    Discretized equation must be set up at each of the nodal points in order to solve the problem. The resulting system of linear algebraic equations Linear equation can then be solved to obtain at the nodal points. The matrix of higher order can be solved in MATLAB. This method can also be applied to a 2D situation.

  4. Numerical solution of the convection–diffusion equation

    en.wikipedia.org/wiki/Numerical_solution_of_the...

    The unsteady convection–diffusion problem is considered, at first the known temperature T is expanded into a Taylor series with respect to time taking into account its three components. Next, using the convection diffusion equation an equation is obtained from the differentiation of this equation.

  5. Lax–Friedrichs method - Wikipedia

    en.wikipedia.org/wiki/Lax–Friedrichs_method

    A nonlinear hyperbolic conservation law is defined through a flux function : + (()) =. In the case of () =, we end up with a scalar linear problem.Note that in general, is a vector with equations in it.

  6. Korteweg–De Vries equation - Wikipedia

    en.wikipedia.org/wiki/Korteweg–De_Vries_equation

    Cnoidal wave solution to the Korteweg–De Vries equation, in terms of the square of the Jacobi elliptic function cn (and with value of the parameter m = 0.9). Numerical solution of the KdV equation u t + uu x + δ 2 u xxx = 0 (δ = 0.022) with an initial condition u(x, 0) = cos(πx).

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  8. Crank–Nicolson method - Wikipedia

    en.wikipedia.org/wiki/Crank–Nicolson_method

    The Crank–Nicolson stencil for a 1D problem. The Crank–Nicolson method is based on the trapezoidal rule, giving second-order convergence in time.For linear equations, the trapezoidal rule is equivalent to the implicit midpoint method [citation needed] —the simplest example of a Gauss–Legendre implicit Runge–Kutta method—which also has the property of being a geometric integrator.

  9. Cauchy's equation - Wikipedia

    en.wikipedia.org/wiki/Cauchy's_equation

    The theory of light-matter interaction on which Cauchy based this equation was later found to be incorrect. In particular, the equation is only valid for regions of normal dispersion in the visible wavelength region. In the infrared, the equation becomes inaccurate, and it cannot represent regions of anomalous dispersion. Despite this, its ...

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