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Statistical sampling library for use in virtdata libraries, based on apache commons math 4

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/*
 * 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.numbers.fraction;

import org.apache.commons.numbers.core.Precision;

/**
 * Provides a generic means to evaluate
 * continued fractions.
 * Subclasses must provide the {@link #getA(int,double) a} and {@link #getB(int,double) b}
 * coefficients to evaluate the continued fraction.
 */
public abstract class ContinuedFraction {
    /** Maximum allowed numerical error. */
    private static final double DEFAULT_EPSILON = 1e-9;

    /**
     * Defines the 
     * {@code n}-th "a" coefficient of the continued fraction.
     *
     * @param n Index of the coefficient to retrieve.
     * @param x Evaluation point.
     * @return the coefficient an.
     */
    protected abstract double getA(int n, double x);

    /**
     * Defines the 
     * {@code n}-th "b" coefficient of the continued fraction.
     *
     * @param n Index of the coefficient to retrieve.
     * @param x Evaluation point.
     * @return the coefficient bn.
     */
    protected abstract double getB(int n, double x);

    /**
     * Evaluates the continued fraction.
     *
     * @param x Point at which to evaluate the continued fraction.
     * @return the value of the continued fraction evaluated at {@code x}.
     * @throws ArithmeticException if the algorithm fails to converge.
     * @throws ArithmeticException if the maximal number of iterations is reached
     * before the expected convergence is achieved.
     *
     * @see #evaluate(double,double,int)
     */
    public double evaluate(double x) {
        return evaluate(x, DEFAULT_EPSILON, Integer.MAX_VALUE);
    }

    /**
     * Evaluates the continued fraction.
     *
     * @param x the evaluation point.
     * @param epsilon Maximum error allowed.
     * @return the value of the continued fraction evaluated at {@code x}.
     * @throws ArithmeticException if the algorithm fails to converge.
     * @throws ArithmeticException if the maximal number of iterations is reached
     * before the expected convergence is achieved.
     *
     * @see #evaluate(double,double,int)
     */
    public double evaluate(double x, double epsilon) {
        return evaluate(x, epsilon, Integer.MAX_VALUE);
    }

    /**
     * Evaluates the continued fraction at the value x.
     * @param x the evaluation point.
     * @param maxIterations Maximum number of iterations.
     * @return the value of the continued fraction evaluated at {@code x}.
     * @throws ArithmeticException if the algorithm fails to converge.
     * @throws ArithmeticException if the maximal number of iterations is reached
     * before the expected convergence is achieved.
     *
     * @see #evaluate(double,double,int)
     */
    public double evaluate(double x, int maxIterations) {
        return evaluate(x, DEFAULT_EPSILON, maxIterations);
    }

    /**
     * Evaluates the continued fraction.
     * 

* The implementation of this method is based on the modified Lentz algorithm as described * on page 18 ff. in: *

* * * * @param x Point at which to evaluate the continued fraction. * @param epsilon Maximum error allowed. * @param maxIterations Maximum number of iterations. * @return the value of the continued fraction evaluated at {@code x}. * @throws ArithmeticException if the algorithm fails to converge. * @throws ArithmeticException if the maximal number of iterations is reached * before the expected convergence is achieved. */ public double evaluate(double x, double epsilon, int maxIterations) { final double small = 1e-50; double hPrev = getA(0, x); // use the value of small as epsilon criteria for zero checks if (Precision.equals(hPrev, 0.0, small)) { hPrev = small; } int n = 1; double dPrev = 0.0; double cPrev = hPrev; double hN = hPrev; while (n <= maxIterations) { final double a = getA(n, x); final double b = getB(n, x); double dN = a + b * dPrev; if (Precision.equals(dN, 0.0, small)) { dN = small; } double cN = a + b / cPrev; if (Precision.equals(cN, 0.0, small)) { cN = small; } dN = 1 / dN; final double deltaN = cN * dN; hN = hPrev * deltaN; if (Double.isInfinite(hN)) { throw new FractionException("Continued fraction convergents diverged to +/- infinity for value {0}", x); } if (Double.isNaN(hN)) { throw new FractionException("Continued fraction diverged to NaN for value {0}", x); } if (Math.abs(deltaN - 1) < epsilon) { return hN; } dPrev = dN; cPrev = cN; hPrev = hN; ++n; } throw new FractionException("maximal count ({0}) exceeded", maxIterations); } }




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