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Matlab: Non Linear Methods
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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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