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Non-linear regression GUI 1.0

  Date Added: May 09, 2013  |  Visits: 272

Non-linear regression GUI

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The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting variable, ydata is a matrix). - patternsearch: this solver is useful to obtain a good start point, before using nlinfit or lsqonolin; this way, the global minimum is determined easier.Data is introduced in the GUI as vector or matrix from the workspace.The model to be fitted must be written in an M-file in vectorized form: ypred = model(x,xdata) ypred is a column vector (univariate problem) or matrix (multivariate problem) with the model response (observations in rows). x is a vector with the parameters of the model to be fitted. xdata is a matrix with the independent variables in columns and observations in rows.An example of a kinetic equation fitting using data from a batch chemical reactor is enclosed.

Requirements: No special requirements
Platforms: Matlab
Keyword: Gui Linear Regression Scripts
Users rating: 0/10

License: Freeware Size: 30.72 KB
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