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  2. Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/RungeKutta_methods

    All RungeKutta methods mentioned up to now are explicit methods. Explicit RungeKutta methods are generally unsuitable for the solution of stiff equations because their region of absolute stability is small; in particular, it is bounded. [25] This issue is especially important in the solution of partial differential equations.

  3. List of Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/List_of_RungeKutta_methods

    Diagonally Implicit RungeKutta (DIRK) formulae have been widely used for the numerical solution of stiff initial value problems; [6] the advantage of this approach is that here the solution may be found sequentially as opposed to simultaneously.

  4. Dormand–Prince method - Wikipedia

    en.wikipedia.org/wiki/Dormand–Prince_method

    Dormand–Prince is the default method in the ode45 solver for MATLAB [4] and GNU Octave [5] and is the default choice for the Simulink's model explorer solver. It is an option in Python's SciPy ODE integration library [6] and in Julia's ODE solvers library. [7]

  5. Runge–Kutta–Fehlberg method - Wikipedia

    en.wikipedia.org/wiki/RungeKutta–Fehlberg...

    "New high-order Runge-Kutta formulas with step size control for systems of first and second-order differential equations". Zeitschrift für Angewandte Mathematik und Mechanik . 44 (S1): T17 – T29 .

  6. Numerical methods for ordinary differential equations - Wikipedia

    en.wikipedia.org/wiki/Numerical_methods_for...

    Explicit examples from the linear multistep family include the Adams–Bashforth methods, and any RungeKutta method with a lower diagonal Butcher tableau is explicit. A loose rule of thumb dictates that stiff differential equations require the use of implicit schemes, whereas non-stiff problems can be solved more efficiently with explicit ...

  7. Numerical integration - Wikipedia

    en.wikipedia.org/wiki/Numerical_integration

    Numerical methods for ordinary differential equations, such as RungeKutta methods, can be applied to the restated problem and thus be used to evaluate the integral. For instance, the standard fourth-order RungeKutta method applied to the differential equation yields Simpson's rule from above.

  8. Gauss–Legendre method - Wikipedia

    en.wikipedia.org/wiki/Gauss–Legendre_method

    Gauss–Legendre methods are implicit RungeKutta methods. More specifically, they are collocation methods based on the points of Gauss–Legendre quadrature. The Gauss–Legendre method based on s points has order 2s. [1] All Gauss–Legendre methods are A-stable. [2] The Gauss–Legendre method of order two is the implicit midpoint rule.

  9. Midpoint method - Wikipedia

    en.wikipedia.org/wiki/Midpoint_method

    1 Derivation of the midpoint method. 2 See also. 3 Notes. 4 References. ... The methods are examples of a class of higher-order methods known as RungeKutta methods.