# Software Listing: Nonlinear Regression

Golden Section search for minimizing a nonlinear function in one dimension Davidon-Fletcher-Powell (DFP) method. This is a method to solve an unconstrained nonlinear program.

• Platform: Matlab, Scripts

GANSO is a programming library for global and nonsmooth, nonlinear optimization. Unlike local methods (e.g., quasi-Newton), global optimization methods aim at locating the absolute minimum of a function, not the nearest stationary point. GANSO toolbox provides an interface for calling GANSO methods from Matlab. The user manual describes various optimization strategies, complete syntaxis and several examples of Matlab code..

• Platform: Matlab, Scripts

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data generation, and visualization facilities for the time series and the computed measures. The strength of the MATS toolkit is the simultaneous operation on both multiple time series and multiple measures, allowing a range of measure specific parameters to be set as well. Help for any action is provided in html.

• Platform: Matlab, Scripts

Quantile Regression USAGE: [p,stats]=quantreg(x,y,tau[,order,nboot]); INPUTS: x,y: data that is fitted. (x and y should be columns) Note: that if x is a matrix with several columns then multiple linear regression is used and the "order" argument is not used. tau: quantile used in regression. order: polynomial order. (default=1) nboot: number of bootstrap surrogates used in statistical inference.(default=200) stats is a structure with the following fields: .pse: standard error on p. (not independent) .pboot: the bootstrapped polynomial coefficients. .yfitci: 95% confidence interval on polyval(p,x) Note: uses bootstrap on residuals for statistical inference.

• Platform: Matlab, Scripts

this will find the solution of U''=k*U*U' by using taylor series 3rd order and secant method it gives an idea about the nonlinear ode method and also gives the idea of solving problem in matlab.

• Platform: Matlab, Scripts

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data. A sample is provided to load a dataset containing several trajectory data [t,x] where t is a temporal value and x is a position in 3D.

• Platform: Matlab, Scripts

This gui based application incorporates all aspects of pulse propagation in Nonlinear media.It uses the master equation for pulse propagation under slow varying envelop approximation known as General Nonlinear Schroedinger equation.This helps you simulate propagation of chirped or non-chirped super-gaussian and hyperbolic-secant pulses in any medium or multiple media placed in succession. The application has two modules.First one helps you analyse the input pulses.One can load different pulses whose temporal and spectral width gets displayed against them in the list provided.The second module helps you choose from the loaded pulse and select the media.

• Platform: Matlab, Scripts
• bnb
• License: Freeware
• Price: 0.00

BNB20 solves mixed integer nonlinear optimization problems. It is a branch-and-bound type algorithm..

• Platform: Matlab, Scripts

In the program, an example from the field of nonlinear chemical dynamics is presented. Governing equation and reaction scheme can be found in G. Nicolis, Dynamique Chimique, Thermodynamique, cindoTetique et mdoTecanique statistique, Dunod, Paris 2005. We use the arc length continuation method to get the steady states for a fixed value of lamda=1. We get the famous S-shaped curve. Then, we look for the steady states for a fixed value of mu=0.2. We get two disjoint braches (one branch has a turning point and gives two steady states). The author would like to acknowledge the help of Professor Brian Higgins, Chemical Engineering Department, U.

• Platform: Matlab, Scripts

Single tank system nonlinear model was develop & finding the operating point of it using script file of the matlab with solving of ode for it and ploting the response.

• Publisher: Ankit Shah
• Date: 14-04-2013
• Size: 10 KB
• Platform: Matlab, Scripts

process from the Book of Smith, Corripio - Automatic Process Control Content: + m-file linearization of nonlinear model + m-file definition of the nonlinear model + simulink models for the simulation of the process.

• Platform: Matlab, Scripts

The package contains a simulink model of a mechanism which verify the angle of the road and adjust the torques by giving a angle to a plate located under the load session.this model is not a very complicated one and would be useful to whom want to: 1.get familiar with control designs specially PID controllers 2.get familiar with linerizing nonlinear models.

• Platform: Matlab, Scripts

Firefly algorithm for nonlinear constrained optimization.

• Platform: Matlab, Scripts

The proportional, integral and differential terms of PID control are modified by simple nonlinear terms, depending on the error. That makes the control faster, more precise and more robust. This was tested and proven at the control lab of the Munich University of Applied Science..

• Platform: Matlab, Scripts

DISOPE + MOMENTUM + PARTAN Algorithm to improve convergence of a nonlinear dynamic system. Study covers application for chemical process industries, robotics, genomics, etc..

• Platform: Matlab, Scripts
• regdata
• License: Freeware
• Price: 0.00

Calculates and plots regression statistics from lsqcurvefit.m in MATLAB rel 13.

• Platform: Matlab, Scripts

A new formulation for a well-known nonlinear complex diffusion filter is herewith proposed. A regularization factor is made to be dependent on data, and the process itself is an adaptive one..

• Publisher: CNTM
• Date: 17-04-2013
• Size: 113 KB
• Platform: Matlab, Scripts

Most pH control processes are inherently high nonlinear and uncertainties with large time delay and therefore cannot be adequately controlled with a conventional PI control. In our term project, an approach to pH neutralization process control using switching ADRC with Smith Predictor will be presented..

• Publisher: Gu Ouyang
• Date: 16-02-2013
• Size: 10 KB
• Platform: Matlab, Scripts

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example shows a way how this can be done..

• Publisher: Yi Cao
• Date: 02-05-2013
• Size: 10 KB
• Platform: Matlab, Scripts

content: + m-file of the nonlinear model + m-file linearization + simulink models for the simulation system.

• Platform: Matlab, Scripts

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