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  2. Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/RungeKutta_methods

    RungeKutta–Nyström methods are specialized RungeKutta methods that are optimized for second-order differential equations. [22] [23] A general RungeKutta–Nyström method for a second-order ODE system ¨ = (,, …,) with order is with the form

  3. Cash–Karp method - Wikipedia

    en.wikipedia.org/wiki/Cash–Karp_method

    The method is a member of the RungeKutta family of ODE solvers. More specifically, it uses six function evaluations to calculate fourth- and fifth-order accurate solutions. More specifically, it uses six function evaluations to calculate fourth- and fifth-order accurate solutions.

  4. 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 .

  5. Numerical methods for ordinary differential equations - Wikipedia

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

    For example, implicit linear multistep methods include Adams-Moulton methods, and backward differentiation methods (BDF), whereas implicit RungeKutta methods [6] include diagonally implicit RungeKutta (DIRK), [7] [8] singly diagonally implicit RungeKutta (SDIRK), [9] and Gauss–Radau [10] (based on Gaussian quadrature [11]) numerical ...

  6. 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.

  7. 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]

  8. 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.

  9. 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.