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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

  3. List of Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/List_of_RungeKutta_methods

    The RungeKutta–Fehlberg method has two methods of orders 5 and 4; it is sometimes dubbed RKF45 . Its extended Butcher Tableau is: / / / / / / / / / / / / / / / / / / / / / / / / / / The first row of b coefficients gives the fifth-order accurate solution, and the second row has order four.

  4. Dormand–Prince method - Wikipedia

    en.wikipedia.org/wiki/Dormand–Prince_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.

  5. Runge–Kutta–Fehlberg method - Wikipedia

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

    Fehlberg, Erwin (1969) Low-order classical Runge-Kutta formulas with stepsize control and their application to some heat transfer problems. Vol. 315. National aeronautics and space administration. Fehlberg, Erwin (1969). "Klassische Runge-Kutta-Nystrom-Formeln funfter und siebenter Ordnung mit Schrittweiten-Kontrolle". Computing. 4: 93– 106.

  6. 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.

  7. Numerical methods for ordinary differential equations - Wikipedia

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

    Numerical methods for solving first-order IVPs often fall into one of two large categories: [5] linear multistep methods, or RungeKutta methods.A further division can be realized by dividing methods into those that are explicit and those that are implicit.

  8. Runge–Kutta method (SDE) - Wikipedia

    en.wikipedia.org/wiki/RungeKutta_method_(SDE)

    A newer RungeKutta scheme also of strong order 1 straightforwardly reduces to the improved Euler scheme for deterministic ODEs. [2] Consider the vector stochastic process () that satisfies the general Ito SDE = (,) + (,), where drift and volatility are sufficiently smooth functions of their arguments.

  9. Butcher group - Wikipedia

    en.wikipedia.org/wiki/Butcher_group

    Moreover, Butcher (1972) showed that the homomorphisms defined by the RungeKutta method form a dense subgroup of the Butcher group: in fact he showed that, given a homomorphism φ', there is a RungeKutta homomorphism φ agreeing with φ' to order n; and that if given homomorphims φ and φ' corresponding to RungeKutta data (A, b) and ...