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# Matlab: Non Linear Methods

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Matlab: Non Linear Methods

Matlab: Non Linear Methods

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### Transcript

• 1. Matlab:Non Linear Methods
• 2. Nonlinear Least Squares
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.
• 3. Interactive fitting
The process of fitting a surface to data involves the following steps:
Opening the Surface Fitting Tool
Selecting Data
Removing Outliers
Selecting Validation Data
Exploring and Customizing Plots
• 4. 1. Opening the curve fitting tool
Type cftoolin the matlab command window
• 5. 2. Selecting Data
Type load census for this example. Then import the data as follows
• 6. 3. Fitting
Use the ‘Fit’ option as follows:
• 7. 4. Viewing
Go to View -&gt; Residual -&gt; Line plot
• 8. 4. Viewing
• 9. 4. Viewing
Apply different fits and see the result
• 10. 4. Viewing
• 11. 5. Analyzing the Fit
• 12. 5. Analyzing the Fit
• 13. Visit more self help tutorials
Pick a tutorial of your choice and browse through it at your own pace.
The tutorials section is free, self-guiding and will not involve any additional support.
Visit us at www.dataminingtools.net