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2. Numerical methods for ordinary differential equations

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

   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). Their use is also known as "numerical integration", although this term can also refer to ...

3. Rosenbrock methods - Wikipedia

   en.wikipedia.org/wiki/Rosenbrock_methods

   The idea of Rosenbrock search is also used to initialize some root-finding routines, such as fzero (based on Brent's method) in Matlab. Rosenbrock search is a form of derivative-free search but may perform better on functions with sharp ridges. [6] The method often identifies such a ridge which, in many applications, leads to a solution. [7]

4. Adomian decomposition method - Wikipedia

   en.wikipedia.org/wiki/Adomian_decomposition_method

   The Adomian decomposition method (ADM) is a semi-analytical method for solving ordinary and partial nonlinear differential equations. The method was developed from the 1970s to the 1990s by George Adomian, chair of the Center for Applied Mathematics at the University of Georgia. [1] It is further extensible to stochastic systems by using the ...

5. Runge–Kutta–Fehlberg method - Wikipedia

   en.wikipedia.org/wiki/Runge–Kutta–Fehlberg...

   In mathematics, the Runge–Kutta–Fehlberg method (or Fehlberg method) is an algorithm in numerical analysis for the numerical solution of ordinary differential equations. It was developed by the German mathematician Erwin Fehlberg and is based on the large class of Runge–Kutta methods. The novelty of Fehlberg's method is that it is an ...

6. Bogacki–Shampine method - Wikipedia

   en.wikipedia.org/wiki/Bogacki–Shampine_method

   The Bogacki–Shampine method is a method for the numerical solution of ordinary differential equations, that was proposed by Przemysław Bogacki and Lawrence F. Shampine in 1989 (Bogacki & Shampine 1989). The Bogacki–Shampine method is a Runge–Kutta method of order three with four stages with the First Same As Last (FSAL) property, so that ...

7. Euler–Maruyama method - Wikipedia

   en.wikipedia.org/wiki/Euler–Maruyama_method

   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 ...

8. List of optimization software - Wikipedia

   en.wikipedia.org/wiki/List_of_optimization_software

   MIDACO – a software package for numerical optimization based on evolutionary computing. MINTO – integer programming solver using branch and bound algorithm; freeware for personal use. MOSEK – a large scale optimization software. Solves linear, quadratic, conic and convex nonlinear, continuous and integer optimization.

9. Ordinary differential equation - Wikipedia

   en.wikipedia.org/wiki/Ordinary_differential_equation

   e. In mathematics, an ordinary differential equation (ODE) is a differential equation (DE) dependent on only a single independent variable. As with other DE, its unknown (s) consists of one (or more) function (s) and involves the derivatives of those functions. [1] The term "ordinary" is used in contrast with partial differential equations ...