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# Matlab: Non Linear Methods

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Matlab: Non Linear Methods

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### Matlab: Non Linear Methods

1. 1. Matlab:Non Linear Methods<br />
2. 2. Nonlinear Least Squares<br />Curve Fitting Toolbox software uses the nonlinear least-squares formulation to fit a nonlinear model to data. A nonlinear model is defined as an equation that is nonlinear in the coefficients, or a combination of linear and nonlinear in the coefficients. For example, Gaussians, ratios of polynomials, and power functions are all nonlinear.<br />
3. 3. Interactive fitting<br />The process of fitting a surface to data involves the following steps:<br />Opening the Surface Fitting Tool<br />Selecting Data<br />Refining Your Fit<br />Removing Outliers<br />Selecting Validation Data<br />Exploring and Customizing Plots<br />
4. 4. 1. Opening the curve fitting tool<br />Type cftoolin the matlab command window<br />
5. 5. 2. Selecting Data<br />Type load census for this example. Then import the data as follows<br />
6. 6. 3. Fitting<br />Use the ‘Fit’ option as follows:<br />
7. 7. 4. Viewing<br />Go to View -&gt; Residual -&gt; Line plot<br />
8. 8. 4. Viewing<br />
9. 9. 4. Viewing<br />Apply different fits and see the result<br />
10. 10. 4. Viewing<br />
11. 11. 5. Analyzing the Fit<br />
12. 12. 5. Analyzing the Fit<br />
13. 13. Visit more self help tutorials<br />Pick a tutorial of your choice and browse through it at your own pace.<br />The tutorials section is free, self-guiding and will not involve any additional support.<br />Visit us at www.dataminingtools.net<br />