Solving Ordinary Differential Equations Matlab

FDE12 solves an initial value problem for a non-linear differential equation of fractional order (FDE).This is an implementation of the predictor-corrector method of Adams-Bashforth-Moulton described in [1]. Convergence and accuracy of the method are studied in [2]. The implementation with...

The program PEEI 3.0.0.0 calculates a numerical solution of almost all the systems of partial differential equations who have number of equations equal or greater of the number of unknown functions.

Gerris project is an Open Source Free Software library for the solution of the partial differential equations describing fluid flow. Gerris is supported by NIWA (National Institute of Water and Atmospheric research) and by the Marsden Fund of the Royal Society of New Zealand. The code is...


Platforms: *nix

Ofeli (as an acronym for Open, Fast and Efficient Level set Implementation) demonstrates how to operate an image segmentation algorithm of Y. Shi and W. C. Karl |1|, using a discrete approach for the approximation of level-set-based curve evolution (implicit active contours). This is a novel...


Platforms: *nix

This tutorial shows how to use the MATLAB solver DDE23 to solve delay differential equations (DDEs) with constant delays. The solver is available in MATLAB 6.5 and later.The tutorial briefly discusses the differences between solving ODEsand DDEs, and describes the techniques used in DDE23. The...


Platforms: Matlab

DOLFIN is the C++/Python interface of FEniCS, providing a consistent PSE (Problem Solving Environment) for ordinary and partial differential equations. Features * Simple, consistent and intuitive object-oriented API in C++ or Python * Automatic and efficient evaluation of finite element...


Platforms: *nix

This function solves the linear fractional-order differential equations (FODE) with constant coefficients. The short memory principle has not neen used here, so the length of input signal is limited to few hundred samples. The parameters of the FODE (in its standard form) are the inputs of this...


Platforms: Matlab

MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated...


Platforms: Matlab

examples from book: MATLAB and Simulink, 3e: User's Guide) by Bogumila and Zbigniew MrozekAuthor: Bogumila & Zbigniew MROZEKPublisher: Helion.pl 2010


Platforms: Matlab

This tutorial shows how to formulate, solve, and plot the solutions of boundary value problems (BVPs) for ordinary differential equations.The tutorial introduces the function BVP4C (available in MATLAB 6.0 and later), briefly describes the numerical method used, and illustrates solving BVPs with...


Platforms: Matlab

In this Matlab application was perused Jean Le Rand D'Alambert's** Reduction Method for two degree of linear differential equations and several analytical examples are compared with matlab solution applications.**Jean d'Alembert was a a French mathematician who was a pioneer in the study of...


Platforms: Matlab

SOLVCON is a software framework for solving hyperbolic partial differential equations (PDEs). SOLVCON uses the space-time Conservation Element and Solution Element (CESE) method for time-accurate solutions. The goal of SOLVCON is to enable high-fidelity solutions for design iterations. SOLVCON is...


Platforms: *nix

This submission contains the basic functions that are necessary for using the matrix approach to discretization of fractional differential equations, and demos. The method is described in the following articles:[1] I. Podlubny, "Matrix approach to discrete fractional calculus", Fractional...


Platforms: Matlab

This is a MATLAB-implementation of ROCK4 (Abdulle & Medovikov)for the numerical solution of a (mildly) stiff system of first order differential equations ODEs y'=f(t,y).ROCK4 is based on a family of second order explicit Runge-Kutta methods with nearly optimal stability domain on the negative...


Platforms: Matlab

Occasionally I have had to solve large systems of differential equations which result in matlab running out of memory during evaluation. Odesplit breaks up the simulation period into a series of chunks to ease this problem. At each split point in the evaluation a function specified by the user is...


Platforms: Matlab

The Generalised Adaptive Fast-Fourier Evolver (GAFFE) toolbox is a framework that greatly simplifies the solution of complex partial differential equations (PDEs) in an adaptive manner.By default both the step-size and the mesh adapt to the problem at hand to optimise the speed of execution for a...


Platforms: Matlab

dysii is a C++ library provides a collection of classes useful for machine learning applications. Features are added to the library as needed, so that it does lack some completeness. What is included, however, is well documented and tested, and may be considered fairly sound for research...


Platforms: *nix

Fortran Calculus Compiler: Calculus level computer languages are Fortran Calculus and PROSE. Both languages are based on what is called "Automatic Differentiation" (AD). Calculus languages simplify computer coding to an absolute minimum; i.e., a mathematical model, constraints, and the objective...


Platforms: *nix

WDSolve is a black box solver for nonlinear hyperbolic partial differential equations. WDSolve is based on the Wave Digital method, leading to explicit finite difference schemes with superior stability properties.


Platforms: Windows

the function is GUI that simulate double pendulum by using 4th-order Runge-Kutta algorithm for the differential equations.the differential equation are very similar to eq. (12) and (13) here:http://home1.fvcc.edu/~dhicketh/DiffEqns/spring09projects/LauraStickel/Double%20Pendulum.pdf


Platforms: Matlab