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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.
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 leastsquares package (cf. MATH-1008).
/** * 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.
/** Weight matrix. */
private final RealMatrix weightMatrix;
Creates a diagonal weight matrix.
Params:
  • weight – List of the values of the diagonal.
/** * Creates a diagonal weight matrix. * * @param weight List of the values of the diagonal. */
public Weight(double[] weight) { weightMatrix = new DiagonalMatrix(weight); }
Params:
  • weight – Weight matrix.
Throws:
/** * @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.
Returns:the initial guess.
/** * Gets the initial guess. * * @return the initial guess. */
public RealMatrix getWeight() { return weightMatrix.copy(); } }