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  2. Linear multistep method - Wikipedia

    en.wikipedia.org/wiki/Linear_multistep_method

    The first Dahlquist barrier states that a zero-stable and linear q-step multistep method cannot attain an order of convergence greater than q + 1 if q is odd and greater than q + 2 if q is even. If the method is also explicit, then it cannot attain an order greater than q ( Hairer, Nørsett & Wanner 1993 , Thm III.3.5).

  3. Zero stability - Wikipedia

    en.wikipedia.org/wiki/Zero_stability

    A linear multistep method is zero-stable if all roots of the characteristic equation that arises on applying the method to ′ = have magnitude less than or equal to unity, and that all roots with unit magnitude are simple. [2]

  4. General linear methods - Wikipedia

    en.wikipedia.org/wiki/General_linear_methods

    They include multistage Runge–Kutta methods that use intermediate collocation points, as well as linear multistep methods that save a finite time history of the solution. John C. Butcher originally coined this term for these methods and has written a series of review papers, [1] [2] [3] a book chapter, [4] and a textbook [5] on the topic.

  5. Numerical methods for ordinary differential equations

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

    Explicit examples from the linear multistep family include the Adams–Bashforth methods, and any Runge–Kutta 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 ...

  6. Backward differentiation formula - Wikipedia

    en.wikipedia.org/wiki/Backward_differentiation...

    The backward differentiation formula (BDF) is a family of implicit methods for the numerical integration of ordinary differential equations.They are linear multistep methods that, for a given function and time, approximate the derivative of that function using information from already computed time points, thereby increasing the accuracy of the approximation.

  7. List of numerical analysis topics - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_analysis...

    General linear methods — a class of methods encapsulating linear multistep and Runge-Kutta methods; Bulirsch–Stoer algorithm — combines the midpoint method with Richardson extrapolation to attain arbitrary order; Exponential integrator — based on splitting ODE in a linear part, which is solved exactly, and a nonlinear part

  8. Numerov's method - Wikipedia

    en.wikipedia.org/wiki/Numerov's_method

    Numerov's method (also called Cowell's method) is a numerical method to solve ordinary differential equations of second order in which the first-order term does not appear. It is a fourth-order linear multistep method. The method is implicit, but can be made explicit if the differential equation is linear.

  9. Continuous simulation - Wikipedia

    en.wikipedia.org/wiki/Continuous_simulation

    The Linear Multistep family. [9] When using numerical solvers the following properties of the solver must be considered: the stability of the method; the method property of stiffness; the discontinuity of the method; Concluding remarks contained in the method and available to the user; These points are crucial to the success of the usage of one ...