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Matlab: Non Linear Methods
 

Matlab: Non Linear Methods

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Matlab: Non Linear Methods

Matlab: Non Linear Methods

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    Matlab: Non Linear Methods Matlab: Non Linear Methods Presentation Transcript

    • Matlab:Non Linear Methods
    • 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.
    • Interactive fitting
      The process of fitting a surface to data involves the following steps:
      Opening the Surface Fitting Tool
      Selecting Data
      Refining Your Fit
      Removing Outliers
      Selecting Validation Data
      Exploring and Customizing Plots
    • 1. Opening the curve fitting tool
      Type cftoolin the matlab command window
    • 2. Selecting Data
      Type load census for this example. Then import the data as follows
    • 3. Fitting
      Use the ‘Fit’ option as follows:
    • 4. Viewing
      Go to View -> Residual -> Line plot
    • 4. Viewing
    • 4. Viewing
      Apply different fits and see the result
    • 4. Viewing
    • 5. Analyzing the Fit
    • 5. Analyzing the Fit
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