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  2. Euler–Maruyama method - Wikipedia

    en.wikipedia.org/wiki/Euler–Maruyama_method

    In Itô calculus, the Euler–Maruyama method (also simply called the Euler method) is a method for the approximate numerical solution of a stochastic differential equation (SDE). It is an extension of the Euler method for ordinary differential equations to stochastic differential equations named after Leonhard Euler and Gisiro Maruyama. The ...

  3. Numerical methods for ordinary differential equations - Wikipedia

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

    The step size is =. The same illustration for = The midpoint method converges faster than the Euler method, as .. Numerical methods for ordinary differential equations are methods used to find numerical approximations to the solutions of ordinary differential equations (ODEs).

  4. Midpoint method - Wikipedia

    en.wikipedia.org/wiki/Midpoint_method

    Blue: the Euler method, green: the midpoint method, red: the exact solution, =. The step size is = The same illustration for = It is seen that the midpoint method converges faster than the Euler method. The midpoint method is a refinement of the Euler method

  5. Linear multistep method - Wikipedia

    en.wikipedia.org/wiki/Linear_multistep_method

    Linear multistep methods are used for the numerical solution of ordinary differential equations. Conceptually, a numerical method starts from an initial point and then takes a short step forward in time to find the next solution point. The process continues with subsequent steps to map out the solution.

  6. Adaptive step size - Wikipedia

    en.wikipedia.org/wiki/Adaptive_step_size

    Let us now apply Euler's method again with a different step size to generate a second approximation to y(t n+1). We get a second solution, which we label with a (). Take the new step size to be one half of the original step size, and apply two steps of Euler's method. This second solution is presumably more accurate.

  7. Standard step method - Wikipedia

    en.wikipedia.org/wiki/Standard_Step_Method

    Step 6: Solve the problem in the HEC-RAS Modeling Environment: It is beyond the scope of this Wikipedia Page to explain the intricacies of operating HEC-RAS. For those interested in learning more, the HEC-RAS user’s manual is an excellent learning tool and the program is free to the public.

  8. Symbolab - Wikipedia

    en.wikipedia.org/wiki/Symbolab

    Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011. In 2020, the company was acquired by American educational technology website Course Hero. [3] [4]

  9. Verlet integration - Wikipedia

    en.wikipedia.org/wiki/Verlet_integration

    To discretize and numerically solve this initial value problem, a time step > is chosen, and the sampling-point sequence = considered. The task is to construct a sequence of points x n {\displaystyle \mathbf {x} _{n}} that closely follow the points x ( t n ) {\displaystyle \mathbf {x} (t_{n})} on the trajectory of the exact solution.