/*
* 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
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.math3.optim.nonlinear.vector;
import org.apache.commons.math3.optim.OptimizationData;
import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.DiagonalMatrix;
import org.apache.commons.math3.linear.NonSquareMatrixException;
/**
* Weight matrix of the residuals between model and observations.
* <br/>
* Immutable class.
*
* @since 3.1
* @deprecated All classes and interfaces in this package are deprecated.
* The optimizers that were provided here were moved to the
* {@link org.apache.commons.math3.fitting.leastsquares} package
* (cf. MATH-1008).
*/
@Deprecated
public class Weight implements OptimizationData {
/** Weight matrix. */
private final RealMatrix weightMatrix;
/**
* Creates a diagonal weight matrix.
*
* @param weight List of the values of the diagonal.
*/
public Weight(double[] weight) {
weightMatrix = new DiagonalMatrix(weight);
}
/**
* @param weight Weight matrix.
* @throws NonSquareMatrixException if the argument is not
* a square matrix.
*/
public Weight(RealMatrix weight) {
if (weight.getColumnDimension() != weight.getRowDimension()) {
throw new NonSquareMatrixException(weight.getColumnDimension(),
weight.getRowDimension());
}
weightMatrix = weight.copy();
}
/**
* Gets the initial guess.
*
* @return the initial guess.
*/
public RealMatrix getWeight() {
return weightMatrix.copy();
}
}