/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.commons.math.random;

/**
 * This class is a gaussian normalized random generator for scalars.
 * <p>
 * This class is a simple wrapper around the
 * {@link RandomGenerator#nextGaussian} method.
 * </p>
 * 
 * @version $Revision$ $Date$
 * @since 1.2
 */

public class GaussianRandomGenerator implements NormalizedRandomGenerator {

	/**
	 * Create a new generator.
	 * 
	 * @param generator
	 *            underlying random generator to use
	 */
	public GaussianRandomGenerator(RandomGenerator generator) {
		this.generator = generator;
	}

	/**
	 * Generate a random scalar with null mean and unit standard deviation.
	 * 
	 * @return a random scalar with null mean and unit standard deviation
	 */
	public double nextNormalizedDouble() {
		return generator.nextGaussian();
	}

	/** Underlying generator. */
	private RandomGenerator generator;

}
