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Java example source code file (ConstantRealDistribution.java)

This example Java source code file (ConstantRealDistribution.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

abstractrealdistribution, avoid, constantrealdistribution, outofrangeexception, override, randomgenerator

The ConstantRealDistribution.java Java example source code

/*
 * 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.math3.distribution;

import org.apache.commons.math3.exception.OutOfRangeException;

/**
 * Implementation of the constant real distribution.
 *
 * @since 3.4
 */
public class ConstantRealDistribution extends AbstractRealDistribution {

    /** Serialization ID */
    private static final long serialVersionUID = -4157745166772046273L;

    /** Constant value of the distribution */
    private final double value;

    /**
     * Create a constant real distribution with the given value.
     *
     * @param value the constant value of this distribution
     */
    public ConstantRealDistribution(double value) {
        super(null);  // Avoid creating RandomGenerator
        this.value = value;
    }

    /** {@inheritDoc} */
    public double density(double x) {
        return x == value ? 1 : 0;
    }

    /** {@inheritDoc} */
    public double cumulativeProbability(double x)  {
        return x < value ? 0 : 1;
    }

    /** {@inheritDoc} */
    @Override
    public double inverseCumulativeProbability(final double p)
            throws OutOfRangeException {
        if (p < 0.0 || p > 1.0) {
            throw new OutOfRangeException(p, 0, 1);
        }
        return value;
    }

    /**
     * {@inheritDoc}
     */
    public double getNumericalMean() {
        return value;
    }

    /**
     * {@inheritDoc}
     */
    public double getNumericalVariance() {
        return 0;
    }

    /**
     * {@inheritDoc}
     */
    public double getSupportLowerBound() {
        return value;
    }

    /**
     * {@inheritDoc}
     */
    public double getSupportUpperBound() {
        return value;
    }

    /** {@inheritDoc} */
    public boolean isSupportLowerBoundInclusive() {
        return true;
    }

    /** {@inheritDoc} */
    public boolean isSupportUpperBoundInclusive() {
        return true;
    }

    /**
     * {@inheritDoc}
     */
    public boolean isSupportConnected() {
        return true;
    }

    /** {@inheritDoc} */
    @Override
    public double sample()  {
        return value;
    }

    /**
     * Override with no-op (there is no generator).
     * @param seed (ignored)
     */
    @Override
    public void reseedRandomGenerator(long seed) {}
}

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