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Gilles 2015-09-01 14:35:48 +02:00
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src/main/java/org/apache/commons/math4/optim/package-info.java
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@ -33,27 +33,9 @@
* *
* <p> * <p>
* Some problems are solved more efficiently by algorithms that, instead of an * Some problems are solved more efficiently by algorithms that, instead of an
* objective function, need access to a * objective function, need access to all the observations.
* {@link org.apache.commons.math4.optim.nonlinear.vector.ModelFunction * Such methods are implemented in the {@link org.apache.commons.math4.fitting}
* <em>model function</em>}: such a model predicts a set of values which the * package.
* algorithm tries to match with a set of given
* {@link org.apache.commons.math4.optim.nonlinear.vector.Target target values}.
* Those algorithms are located in the
* {@link org.apache.commons.math4.optim.nonlinear.vector} package.
* <br/>
* Algorithms that also require the
* {@link org.apache.commons.math4.optim.nonlinear.vector.ModelFunctionJacobian
* Jacobian matrix of the model} are located in the
* {@link org.apache.commons.math4.optim.nonlinear.vector.jacobian} package.
* <br/>
* The {@link org.apache.commons.math4.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
* non-linear least-squares optimizers} are a specialization of the the latter,
* that minimize the distance (called <em>cost</em> or <em>&chi;<sup>2</sup></em>)
* between model and observations.
* <br/>
* For cases where the Jacobian cannot be provided, a utility class will
* {@link org.apache.commons.math4.optim.nonlinear.scalar.LeastSquaresConverter
* convert} a (vector) model into a (scalar) objective function.
* </p> * </p>
* *
* <p> * <p>