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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. 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. Runge–Kutta–Fehlberg method - Wikipedia

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

    The first row of coefficients at the bottom of the table gives the fifth-order accurate method, and the second row gives the fourth-order accurate method. This shows the computational time in real time used during a 3-body simulation evolved with the Runge-Kutta-Fehlberg method.

  5. 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.

  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. MUSCL scheme - Wikipedia

    en.wikipedia.org/wiki/MUSCL_scheme

    The simulation was carried out with a mesh of 200 cells and used a 4th order RungeKutta time integrator (RK4). To provide higher resolution of discontinuities, Godunov's scheme can be extended to use piecewise linear approximations of each cell, which results in a central difference scheme that is second-order accurate in space. The ...

  8. 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]

  9. Heun's method - Wikipedia

    en.wikipedia.org/wiki/Heun's_method

    In mathematics and computational science, Heun's method may refer to the improved [1] or modified Euler's method (that is, the explicit trapezoidal rule [2]), or a similar two-stage RungeKutta method. It is named after Karl Heun and is a numerical procedure for solving ordinary differential equations (ODEs) with a given initial value.