UniformRandomGenerator.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.  *      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.  * This is not the original file distributed by the Apache Software Foundation
  19.  * It has been modified by the Hipparchus project
  20.  */

  21. package org.hipparchus.random;

  22. import org.hipparchus.util.FastMath;

  23. /**
  24.  * This class implements a normalized uniform random generator.
  25.  * <p>
  26.  * Since it is a normalized random generator, it generates values
  27.  * from a uniform distribution with mean equal to 0 and standard
  28.  * deviation equal to 1. Generated values fall in the range
  29.  * [-&#x0221A;3, +&#x0221A;3].
  30.  */
  31. public class UniformRandomGenerator implements NormalizedRandomGenerator {

  32.     /** Square root of three. */
  33.     private static final double SQRT3 = FastMath.sqrt(3.0);

  34.     /** Underlying generator. */
  35.     private final RandomGenerator generator;

  36.     /** Create a new generator.
  37.      * @param generator underlying random generator to use
  38.      */
  39.     public UniformRandomGenerator(RandomGenerator generator) {
  40.         this.generator = generator;
  41.     }

  42.     /**
  43.      * Generate a random scalar with null mean and unit standard deviation.
  44.      * <p>
  45.      * The number generated is uniformly distributed between \(-\sqrt{3}\)
  46.      * and \(+\sqrt{3}\).
  47.      *
  48.      * @return a random scalar with null mean and unit standard deviation
  49.      */
  50.     @Override
  51.     public double nextNormalizedDouble() {
  52.         return SQRT3 * (2 * generator.nextDouble() - 1.0);
  53.     }

  54. }