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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.math4.legacy.fitting.leastsquares;
18  
19  import org.apache.commons.math4.legacy.fitting.leastsquares.LeastSquaresProblem.Evaluation;
20  import org.apache.commons.math4.legacy.linear.RealMatrix;
21  import org.apache.commons.math4.legacy.linear.RealVector;
22  
23  /**
24   * Applies a dense weight matrix to an evaluation.
25   *
26   * @since 3.3
27   */
28  class DenseWeightedEvaluation extends AbstractEvaluation {
29  
30      /** the unweighted evaluation. */
31      private final Evaluation unweighted;
32      /** reference to the weight square root matrix. */
33      private final RealMatrix weightSqrt;
34  
35      /**
36       * Create a weighted evaluation from an unweighted one.
37       *
38       * @param unweighted the evaluation before weights are applied
39       * @param weightSqrt the matrix square root of the weight matrix
40       */
41      DenseWeightedEvaluation(final Evaluation unweighted,
42                              final RealMatrix weightSqrt) {
43          // weight square root is square, nR=nC=number of observations
44          super(weightSqrt.getColumnDimension());
45          this.unweighted = unweighted;
46          this.weightSqrt = weightSqrt;
47      }
48  
49      /* apply weights */
50  
51      /** {@inheritDoc} */
52      @Override
53      public RealMatrix getJacobian() {
54          return weightSqrt.multiply(this.unweighted.getJacobian());
55      }
56  
57      /** {@inheritDoc} */
58      @Override
59      public RealVector getResiduals() {
60          return this.weightSqrt.operate(this.unweighted.getResiduals());
61      }
62  
63      /* delegate */
64  
65      /** {@inheritDoc} */
66      @Override
67      public RealVector getPoint() {
68          return unweighted.getPoint();
69      }
70  }