Nonlinear Correlation

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

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...

The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three...


Platforms: Matlab

The function The LMFnlsq.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago (see the Reference). This version of LMFnlsq is...


Platforms: Matlab

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


Platforms: Matlab

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


Platforms: Matlab

Firefly algorithm for nonlinear constrained optimization


Platforms: Matlab

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.


Platforms: Matlab

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...


Platforms: Matlab

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...


Platforms: Matlab

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


Platforms: Matlab

This script applies the Maximum Correlation Cross on SST images, to estimate the superficial ocean currents


Platforms: Matlab

Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak....


Platforms: Matlab

This function can calculate any of the 6 different ICCs defined by McGraw as well as their confidence intervals. In addition a hypothesis test is performed with the null hypothesis that ICC = r0. This function calls anova_rm (provided inside the zip file).Syntax:[r, LB, UB, F, df1, df2, p] =...


Platforms: Matlab

LiScNLS is a MATLAB package for the numerical study of some nonlinear differential equations of the form Lu=Nu using the Lyapunov-Schmidt method.


Platforms: Matlab

This is a faster implementation of MATLAB's corr2. Implemented as a mex-file generated with the ITERATOR tool that can be downloaded from www.mathworks.comRe compile the source with MEX -O prcorr2.c C = PRCORR2(A,B) computes the correlation between A and B. A and B are arrays witn any number of...


Platforms: Matlab

Computes Pearson's product moment correlation for input vectors that contain NaN values.


Platforms: Matlab

GAUSSian REALIZation of a random variable with standard deviation sigma and correlation length lambda


Platforms: Matlab

In the attached .zip folder you the main, self-contained function titled RelaxLabel2D which performs nonlinear relaxation labelling of 2D monochromatic and multispectral images. Also included are three demo files:RelaxLabel2D_demo1: Provides an example on how to regularize binary images corrupted...


Platforms: Matlab

Sparsity Recovery by Iterative Orthogonal Projections of Nonlinear MappingsA new regularization method for sparse representation based on a fixed-point iteration schema which combines two Lipschitzian-type mappings: an orthogonal projector and a nonlinear one for sparsity promotion.


Platforms: Matlab