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*
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* <p>
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* Some problems are solved more efficiently by algorithms that, instead of an
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* objective function, need access to a
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* {@link org.apache.commons.math4.optim.nonlinear.vector.ModelFunction
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* <em>model function</em>}: such a model predicts a set of values which the
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* algorithm tries to match with a set of given
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* {@link org.apache.commons.math4.optim.nonlinear.vector.Target target values}.
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* Those algorithms are located in the
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* {@link org.apache.commons.math4.optim.nonlinear.vector} package.
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* <br/>
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* Algorithms that also require the
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* {@link org.apache.commons.math4.optim.nonlinear.vector.ModelFunctionJacobian
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* Jacobian matrix of the model} are located in the
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* {@link org.apache.commons.math4.optim.nonlinear.vector.jacobian} package.
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* <br/>
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* The {@link org.apache.commons.math4.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
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* non-linear least-squares optimizers} are a specialization of the the latter,
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* that minimize the distance (called <em>cost</em> or <em>χ<sup>2</sup></em>)
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* between model and observations.
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* <br/>
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* For cases where the Jacobian cannot be provided, a utility class will
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* {@link org.apache.commons.math4.optim.nonlinear.scalar.LeastSquaresConverter
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* convert} a (vector) model into a (scalar) objective function.
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* objective function, need access to all the observations.
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* Such methods are implemented in the {@link org.apache.commons.math4.fitting}
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* package.
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* </p>
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*
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* <p>
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