Sigma.java

  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.optim.nonlinear.scalar;

  18. import org.apache.commons.math4.legacy.optim.OptimizationData;
  19. import org.apache.commons.math4.legacy.exception.NotStrictlyPositiveException;

  20. /**
  21.  * Input sigma values define the initial coordinate-wise extent for
  22.  * sampling the solution space around the initial guess.
  23.  */
  24. public class Sigma implements OptimizationData {
  25.     /** Sigma values. */
  26.     private final double[] sigma;

  27.     /**
  28.      * @param s Sigma values.
  29.      * @throws NotStrictlyPositiveException if any of the array
  30.      * entries is negative.
  31.      */
  32.     public Sigma(double[] s) {
  33.         for (int i = 0; i < s.length; i++) {
  34.             if (s[i] <= 0) {
  35.                 throw new NotStrictlyPositiveException(s[i]);
  36.             }
  37.         }

  38.         sigma = s.clone();
  39.     }

  40.     /**
  41.      * @return the sigma values.
  42.      */
  43.     public double[] getSigma() {
  44.         return sigma.clone();
  45.     }
  46. }