enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/RungeKutta_methods

    Download QR code; Print/export ... the RungeKutta methods ... Tracker Component Library Implementation in Matlab — Implements 32 embedded Runge Kutta algorithms ...

  3. 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 .

  4. List of Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/List_of_RungeKutta_methods

    Again, this Diagonally Implicit RungeKutta method is A-stable if and only if . As the previous method, this method is again L-stable if and only if x {\displaystyle x} equals one of the roots of the polynomial x 2 − 2 x + 1 2 {\textstyle x^{2}-2x+{\frac {1}{2}}} , i.e. if x = 1 ± 2 2 {\textstyle x=1\pm {\frac {\sqrt {2}}{2}}} .

  5. 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]

  6. Bogacki–Shampine method - Wikipedia

    en.wikipedia.org/wiki/Bogacki–Shampine_method

    The Bogacki–Shampine method is implemented in the ode3 for fixed step solver and ode23 for a variable step solver function in MATLAB (Shampine & Reichelt 1997). Low-order methods are more suitable than higher-order methods like the Dormand–Prince method of order five, if only a crude approximation to the solution is required. Bogacki and ...

  7. Adaptive step size - Wikipedia

    en.wikipedia.org/wiki/Adaptive_step_size

    For simplicity, the following example uses the simplest integration method, the Euler method; in practice, higher-order methods such as RungeKutta methods are preferred due to their superior convergence and stability properties. Consider the initial value problem ′ = (, ()), =

  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. Numerical methods for ordinary differential equations - Wikipedia

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

    1895 - Carl Runge publishes the first RungeKutta method. 1901 - Martin Kutta describes the popular fourth-order RungeKutta method. 1910 - Lewis Fry Richardson announces his extrapolation method, Richardson extrapolation. 1952 - Charles F. Curtiss and Joseph Oakland Hirschfelder coin the term stiff equations.