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//  Fix parameter "a" and set it to be bounded in [0,1]
fitter.fitParameterSettings("a").setFixed(true);
fitter.fitParameterSettings("a").setBounds(0,1);

// Set the step size for parameter p0 to be 0.01
fitter.fitParameterSettings("p0").setStepSize(0.01);

Setting Constraints

At the fitter level it is also possible to set constraints. Even though the idea is to support pretty general constraints on the parameters and on the domain space, currently we only support very simple constraints: it is only possible to force one parameter to be identical to another:

//  Set parameter "mean1" to be identical to "mean2"
fitter.setConstraint("mean1=mean2");