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 * https://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
18 /*
19 * This is not the original file distributed by the Apache Software Foundation
20 * It has been modified by the Hipparchus project
21 */
22
23 package org.hipparchus.random;
24
25 /**
26 * This class is a gaussian normalized random generator for scalars.
27 * <p>This class is a simple wrapper around the {@link
28 * RandomGenerator#nextGaussian} method.</p>
29 */
30
31 public class GaussianRandomGenerator implements NormalizedRandomGenerator {
32
33 /** Underlying generator. */
34 private final RandomGenerator generator;
35
36 /** Create a new generator.
37 * @param generator underlying random generator to use
38 */
39 public GaussianRandomGenerator(final RandomGenerator generator) {
40 this.generator = generator;
41 }
42
43 /** Generate a random scalar with null mean and unit standard deviation.
44 * @return a random scalar with null mean and unit standard deviation
45 */
46 @Override
47 public double nextNormalizedDouble() {
48 return generator.nextGaussian();
49 }
50
51 }