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The Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.commons.math.estimation;

/**
 * This interface represents an estimation problem.
 *
 * 

This interface should be implemented by all real estimation * problems before they can be handled by the estimators through the * {@link Estimator#estimate Estimator.estimate} method.

* *

An estimation problem, as seen by a solver is a set of * parameters and a set of measurements. The parameters are adjusted * during the estimation through the {@link #getUnboundParameters * getUnboundParameters} and {@link EstimatedParameter#setEstimate * EstimatedParameter.setEstimate} methods. The measurements both have * a measured value which is generally fixed at construction and a * theoretical value which depends on the model and hence varies as * the parameters are adjusted. The purpose of the solver is to reduce * the residual between these values, it can retrieve the measurements * through the {@link #getMeasurements getMeasurements} method.

* * @see Estimator * @see WeightedMeasurement * * @version $Revision: 811786 $ $Date: 2009-09-06 11:36:08 +0200 (dim. 06 sept. 2009) $ * @since 1.2 * @deprecated as of 2.0, everything in package org.apache.commons.math.estimation has * been deprecated and replaced by package org.apache.commons.math.optimization.general * */ @Deprecated public interface EstimationProblem { /** * Get the measurements of an estimation problem. * @return measurements */ WeightedMeasurement[] getMeasurements(); /** * Get the unbound parameters of the problem. * @return unbound parameters */ EstimatedParameter[] getUnboundParameters(); /** * Get all the parameters of the problem. * @return parameters */ EstimatedParameter[] getAllParameters(); }




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