Nonlinear

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.

Census is a project manager specially designed for population pharmacokinetic and pharmacodynamic analysis using the nonlinear mixed-effect modelling application NONMEM. NONMEM is a powerful tool that will help you with nonlinear mixed-effect modelling and simulation of pharmacokinetic and...

mtpile is a specialized program that has been designed in order to compute the displacements, shear forces, bending moments and soil reactions, allowing for the nonlinear behavior of both the soil and the pile. Now you are offered an accessible and handy tool to calculate displacements.


Platforms: Windows

DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string...


Platforms: Windows

The APMonitor Modeling Language is optimization software for differential and algebraic equations. It is coupled with large-scale nonlinear programming solvers for data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control. It is available as a free web...


Platforms: Windows

The DynaFit application was developed to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor...


Platforms: Windows

The software system allows to solve constrained nonlinear programming problems by an efficient sequential quadratic programming (SQP) method. A nonlinear objective function is to be minimized subject to nonlinear equality or inequality constraints. The numerical code is called NLPQL, which is...


Platforms: Windows

A plug-in for Abaqus FEA with empiric data for many types of materials (linear, nonlinear, ortotropic). A simple GUI for creating properties for common materials and sections for bulk and shells.


Platforms: Windows, Mac, Linux

Nifty Sim is a high-performance nonlinear finite element solver, developed at University College London. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.


Platforms: Windows, Mac, Linux

The state space model is nonlinear and is input to the function along with the current measurement. It performs the extended Kalman filter and returns the estimated next state and error covariance. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear...


Platforms: Matlab

Nonlinearity detection scheme based on zeroing the initial time response over various intervals and computing the FFT of each, as described in: M. S. Allen and R. L. Mayes, "Estimating the Degree of Nonlinearity in Transient Responses with Zeroed Early-Time Fast Fourier Transforms," in...


Platforms: Matlab

Although many aspects of a control system can be understood based on linear theory, some nonlinear effects must be accounted for in practically all controllers. Windup is such a phenomena, which is caused by the interaction of integral action and saturations. All actuators have limitations: a...


Platforms: Matlab

The forced Duffing oscillator exhibits behavior ranging from limit cycles to chaos due to its nonlinear dynamics. When the periodic force that drives the system is large, chaotic behavior emerges and the phase space diagram is a strange attractor. In that case the behavior of the system is...


Platforms: Matlab

zpkfit uses the nonlinear least-squares fitter (lsqnonlin) to fit an analytic model of any (fixed) number of poles and zeroes to numerical (presumably measured) frequency response data. It takes as arguments a frequency vector, a frequency response vector, and vectors of the initial guesses of...


Platforms: Matlab

Mean or standard deviation are usually computed for whole part of the analysed signal. However, sometimes we would like to know how this quantities are changing in the data flow. MEANSTDF compute the expected mean and standard deviation values using user defined window for every data position....


Platforms: Matlab

This is an accelerated PSO (APSO), developed by Xin-She Yang in 2008. APSO does not use velocities or any inertia parameter.A full program for solving nonlinear constrained optimization problem (welded beam design as an example) is provided, which can be extended to solve other continuous...


Platforms: Matlab

This is a nonlinear system of differential and algebriac equations, that describe the dynamics of a continuous bioreactor. The bioreactor simulates the production of ethanol through yeast fermentation. The model is described in:Z. K. Nagy, Model Based Control of a Fermentation Bioreactor using...


Platforms: Matlab

The program determines the constants Rmax and Km of the Michaelis-Menten model using data given in Fundamentals of Chemical Reaction Engineering by M. E. Davis & R. J. Davis, McGraw Hill, 2003. This data represents the substrate (catechol) concentration versus time. This data was obtained using...


Platforms: Matlab

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal...


Platforms: Matlab