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 19 import org.apache.commons.math4.legacy.optim.OptimizationData; 20 import org.apache.commons.math4.legacy.exception.NotStrictlyPositiveException; 21 22 /** 23 * Input sigma values define the initial coordinate-wise extent for 24 * sampling the solution space around the initial guess. 25 */ 26 public class Sigma implements OptimizationData { 27 /** Sigma values. */ 28 private final double[] sigma; 29 30 /** 31 * @param s Sigma values. 32 * @throws NotStrictlyPositiveException if any of the array 33 * entries is negative. 34 */ 35 public Sigma(double[] s) { 36 for (int i = 0; i < s.length; i++) { 37 if (s[i] <= 0) { 38 throw new NotStrictlyPositiveException(s[i]); 39 } 40 } 41 42 sigma = s.clone(); 43 } 44 45 /** 46 * @return the sigma values. 47 */ 48 public double[] getSigma() { 49 return sigma.clone(); 50 } 51 }