// Path: core/src/java/main/org/uncommons/maths/random/GaussianGenerator.java
// public class GaussianGenerator implements NumberGenerator<Double>
// {
//     private final Random rng;
//     private final NumberGenerator<Double> mean;
//     private final NumberGenerator<Double> standardDeviation;
// 
// 
//     /**
//      * <p>Creates a generator of normally-distributed values.  The mean and
//      * standard deviation are determined by the provided
//      * {@link NumberGenerator}s.  This means that the statistical parameters
//      * of this generator may change over time.  One example of where this
//      * is useful is if the mean and standard deviation generators are attached
//      * to GUI controls that allow a user to tweak the parameters while a
//      * program is running.</p>
//      * <p>To create a Gaussian generator with a constant mean and standard
//      * deviation, use the {@link #GaussianGenerator(double, double, Random)}
//      * constructor instead.</p>
//      * @param mean A {@link NumberGenerator} that provides the mean of the
//      * Gaussian distribution used for the next generated value.
//      * @param standardDeviation A {@link NumberGenerator} that provides the
//      * standard deviation of the Gaussian distribution used for the next
//      * generated value.
//      * @param rng The source of randomness. 
//      */
//     public GaussianGenerator(NumberGenerator<Double> mean,
//                              NumberGenerator<Double> standardDeviation,
//                              Random rng)
//     {
//         this.mean = mean;
//         this.standardDeviation = standardDeviation;
//         this.rng = rng;
//     }
// 
// 
//     /**
//      * Creates a generator of normally-distributed values from a distribution
//      * with the specified mean and standard deviation.
//      * @param mean The mean of the values generated.
//      * @param standardDeviation The standard deviation of the values generated.
//      * @param rng The source of randomness.
//      */
//     public GaussianGenerator(double mean,
//                              double standardDeviation,
//                              Random rng)
//     {
//         this(new ConstantGenerator<Double>(mean),
//              new ConstantGenerator<Double>(standardDeviation),
//              rng);
//     }
// 
// 
//     /**
//      * {@inheritDoc}
//      */
//     public Double nextValue()
//     {
//         return rng.nextGaussian() * standardDeviation.nextValue() + mean.nextValue();
//     }
// }


import java.util.HashMap;
import java.util.Map;
import java.util.Random;
import org.uncommons.maths.random.GaussianGenerator;
// ============================================================================
//   Copyright 2006-2012 Daniel W. Dyer
//
//   Licensed 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.uncommons.maths.demo;


/**
 * @author Daniel Dyer
 */
class GaussianDistribution extends ProbabilityDistribution
{
    private final double mean;
    private final double standardDeviation;


    public GaussianDistribution(double mean, double standardDeviation)
    {
        this.mean = mean;
        this.standardDeviation = standardDeviation;
    }


// Path: core/src/java/main/org/uncommons/maths/random/GaussianGenerator.java
// public class GaussianGenerator implements NumberGenerator<Double>
// {
//     private final Random rng;
//     private final NumberGenerator<Double> mean;
//     private final NumberGenerator<Double> standardDeviation;
// 
// 
//     /**
//      * <p>Creates a generator of normally-distributed values.  The mean and
//      * standard deviation are determined by the provided
//      * {@link NumberGenerator}s.  This means that the statistical parameters
//      * of this generator may change over time.  One example of where this
//      * is useful is if the mean and standard deviation generators are attached
//      * to GUI controls that allow a user to tweak the parameters while a
//      * program is running.</p>
//      * <p>To create a Gaussian generator with a constant mean and standard
//      * deviation, use the {@link #GaussianGenerator(double, double, Random)}
//      * constructor instead.</p>
//      * @param mean A {@link NumberGenerator} that provides the mean of the
//      * Gaussian distribution used for the next generated value.
//      * @param standardDeviation A {@link NumberGenerator} that provides the
//      * standard deviation of the Gaussian distribution used for the next
//      * generated value.
//      * @param rng The source of randomness. 
//      */
//     public GaussianGenerator(NumberGenerator<Double> mean,
//                              NumberGenerator<Double> standardDeviation,
//                              Random rng)
//     {
//         this.mean = mean;
//         this.standardDeviation = standardDeviation;
//         this.rng = rng;
//     }
// 
// 
//     /**
//      * Creates a generator of normally-distributed values from a distribution
//      * with the specified mean and standard deviation.
//      * @param mean The mean of the values generated.
//      * @param standardDeviation The standard deviation of the values generated.
//      * @param rng The source of randomness.
//      */
//     public GaussianGenerator(double mean,
//                              double standardDeviation,
//                              Random rng)
//     {
//         this(new ConstantGenerator<Double>(mean),
//              new ConstantGenerator<Double>(standardDeviation),
//              rng);
//     }
// 
// 
//     /**
//      * {@inheritDoc}
//      */
//     public Double nextValue()
//     {
//         return rng.nextGaussian() * standardDeviation.nextValue() + mean.nextValue();
//     }
// }


// Path: demo/src/java/main/org/uncommons/maths/demo/GaussianDistribution.java
import java.util.HashMap;
import java.util.Map;
import java.util.Random;
import org.uncommons.maths.random.GaussianGenerator;

// ============================================================================
//   Copyright 2006-2012 Daniel W. Dyer
//
//   Licensed 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.uncommons.maths.demo;


/**
 * @author Daniel Dyer
 */
class GaussianDistribution extends ProbabilityDistribution
{
    private final double mean;
    private final double standardDeviation;


    public GaussianDistribution(double mean, double standardDeviation)
    {
        this.mean = mean;
        this.standardDeviation = standardDeviation;
    }


    protected GaussianGenerator createValueGenerator(Random rng)