BoundedUniformInteger.java
package org.drip.sequence.random;
/*
* -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
*/
/*!
* Copyright (C) 2019 Lakshmi Krishnamurthy
* Copyright (C) 2018 Lakshmi Krishnamurthy
* Copyright (C) 2017 Lakshmi Krishnamurthy
* Copyright (C) 2016 Lakshmi Krishnamurthy
* Copyright (C) 2015 Lakshmi Krishnamurthy
*
* This file is part of DROP, an open-source library targeting risk, transaction costs, exposure, margin
* calculations, and portfolio construction within and across fixed income, credit, commodity, equity,
* FX, and structured products.
*
* https://lakshmidrip.github.io/DROP/
*
* DROP is composed of three main modules:
*
* - DROP Analytics Core - https://lakshmidrip.github.io/DROP-Analytics-Core/
* - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
* - DROP Numerical Core - https://lakshmidrip.github.io/DROP-Numerical-Core/
*
* DROP Analytics Core implements libraries for the following:
* - Fixed Income Analytics
* - Asset Backed Analytics
* - XVA Analytics
* - Exposure and Margin Analytics
*
* DROP Portfolio Core implements libraries for the following:
* - Asset Allocation Analytics
* - Transaction Cost Analytics
*
* DROP Numerical Core implements libraries for the following:
* - Statistical Learning Library
* - Numerical Optimizer Library
* - Machine Learning Library
* - Spline Builder Library
*
* Documentation for DROP is Spread Over:
*
* - Main => https://lakshmidrip.github.io/DROP/
* - Wiki => https://github.com/lakshmiDRIP/DROP/wiki
* - GitHub => https://github.com/lakshmiDRIP/DROP
* - Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
* - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
* - Release Versions => https://lakshmidrip.github.io/DROP/version.html
* - Community Credits => https://lakshmidrip.github.io/DROP/credits.html
* - Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues
* - JUnit => https://lakshmidrip.github.io/DROP/junit/index.html
* - Jacoco => https://lakshmidrip.github.io/DROP/jacoco/index.html
*
* 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.
*/
/**
* <i>BoundedUniformInteger</i> implements the Bounded Uniform Distribution, with a Uniform Integer being
* generated between a lower and an upper Bound.
*
* <br><br>
* <ul>
* <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalCore.md">Numerical Core Module</a></li>
* <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/StatisticalLearningLibrary.md">Statistical Learning Library</a></li>
* <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sequence">Sequence</a></li>
* <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/sequence/random">Random</a></li>
* </ul>
* <br><br>
*
* @author Lakshmi Krishnamurthy
*/
public class BoundedUniformInteger extends org.drip.sequence.random.UnivariateSequenceGenerator {
private int _iStart = -1;
private int _iFinish = -1;
private java.util.Random _rng = new java.util.Random();
/**
* BoundedUniformInteger Distribution Constructor
*
* @param iStart The Lower Bound
* @param iFinish The Upper Bound
*
* @throws java.lang.Exception Thrown if the Inputs are invalid
*/
public BoundedUniformInteger (
final int iStart,
final int iFinish)
throws java.lang.Exception
{
if ((_iFinish = iFinish) <= (_iStart = iStart))
throw new java.lang.Exception ("BoundedUniformInteger constructor: Invalid inputs");
}
/**
* Retrieve the Start
*
* @return The Start
*/
public int start()
{
return _iStart;
}
/**
* Retrieve the Finish
*
* @return The Finish
*/
public int finish()
{
return _iFinish;
}
@Override public double random()
{
return (int) (_iStart + _rng.nextDouble() * (_iFinish - _iStart) + 0.5);
}
@Override public org.drip.sequence.metrics.SingleSequenceAgnosticMetrics sequence (
final int iNumEntry,
final org.drip.measure.continuous.R1Univariate distPopulation)
{
double[] adblSequence = new double[iNumEntry];
for (int i = 0; i < iNumEntry; ++i)
adblSequence[i] = random();
try {
return new org.drip.sequence.metrics.IntegerSequenceAgnosticMetrics (adblSequence, distPopulation);
} catch (java.lang.Exception e) {
e.printStackTrace();
}
return null;
}
}