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<document url="utilities.html">

<properties>
    <title>The Commons Math User Guide - Utilites</title>
</properties>

<body>

<section name="6 Utilities">

<subsection name="6.1 Overview" href="overview">
    <p>
    The <a href="../apidocs/org/apache/commons/math4/util/package-summary.html">
    org.apache.commons.math4.util</a> package collects a group of array utilities,
    value transformers,  and numerical routines used by implementation classes in
    commons-math.
    </p>
</subsection>

<subsection name="6.2 Double array utilities" href="arrays">
    <p>
    To maintain statistics based on a "rolling" window of values, a resizable
    array implementation was developed and is provided for reuse in the
    <code>util</code> package.  The core functionality provided is described in
    the documentation for the interface,
    <a href="../apidocs/org/apache/commons/math4/util/DoubleArray.html">
    DoubleArray</a>.  This interface adds one method,
    <code>addElementRolling(double)</code> to basic list accessors.
    The <code>addElementRolling</code> method adds an element
    (the actual parameter) to the end of the list and removes the first element
     in the list.
    </p>
    <p>
    The <a href="../apidocs/org/apache/commons/math4/util/ResizableDoubleArray.html">
    ResizableDoubleArray</a> class provides a configurable, array-backed
    implementation of the <code>DoubleArray</code> interface.
    When <code>addElementRolling</code> is invoked, the underlying
    array is expanded if necessary, the new element is added to the end of the
    array and the "usable window" of the array is moved forward, so that
    the first element is effectively discarded, what was the second becomes the
    first, and so on.  To efficiently manage storage, two maintenance
    operations need to be periodically performed -- orphaned elements at the
    beginning of the array need to be reclaimed and space for new elements at
    the end needs to be created.  Both of these operations are handled
    automatically, with frequency / effect driven by the configuration
    properties <code>expansionMode</code>, <code>expansionFactor</code> and
    <code>contractionCriteria.</code>  See
    <a href="../apidocs/org/apache/commons/math4/util/ResizableDoubleArray.html">
    ResizableDoubleArray</a>
    for details.
    </p>
</subsection>

<subsection name="6.3 int/double hash map" href="int_double_hash_map">
    <p>
    The <a href="../apidocs/org/apache/commons/math4/util/OpenIntToDoubleHashMap.html">
    OpenIntToDoubleHashMap</a> class provides a specialized hash map
    implementation for int/double. This implementation has a much smaller memory
    overhead than standard <code>java.util.HashMap</code> class. It uses open addressing
    and primitive arrays, which greatly reduces the number of intermediate objects and
    improve data locality.
    </p>
</subsection>

<subsection name="6.4 Continued Fractions" href="continued_fractions">
  <p>
    The <a href="../apidocs/org/apache/commons/math4/util/ContinuedFraction.html">
    ContinuedFraction</a> class provides a generic way to create and evaluate
    continued fractions.  The easiest way to create a continued fraction is
    to subclass <code>ContinuedFraction</code> and override the
    <code>getA</code> and <code>getB</code> methods which return
    the continued fraction terms.  The precise definition of these terms is
    explained in <a href="http://mathworld.wolfram.com/ContinuedFraction.html">
    Continued Fraction, equation (1)</a> from MathWorld.
  </p>
  <p>
    As an example, the constant &pi; can be computed using a <a href="http://functions.wolfram.com/Constants/Pi/10/0002/">continued fraction</a>.  The following anonymous class
    provides the implementation:
    <source>ContinuedFraction c = new ContinuedFraction() {
    public double getA(int n, double x) {
        switch(n) {
            case 0: return 3.0;
            default: return 6.0;
        }
    }

    public double getB(int n, double x) {
        double y = (2.0 * n) - 1.0;
        return y * y;
    }
}</source>
  </p>
  <p>
    Then, to evalute &pi;, simply call any of the <code>evalute</code> methods
    (Note, the point of evaluation in this example is meaningless since &pi; is a
    constant).
  </p>
  <p>
    For a more practical use of continued fractions, consider the <a href="http://functions.wolfram.com/ElementaryFunctions/Exp/10/">exponential function</a>.
    The following anonymous class provides its implementation:
    <source>ContinuedFraction c = new ContinuedFraction() {
    public double getA(int n, double x) {
        if (n % 2 == 0) {
            switch(n) {
                case 0: return 1.0;
                default: return 2.0;
            }
        } else {
            return n;
        }
    }

    public double getB(int n, double x) {
        if (n % 2 == 0) {
            return -x;
        } else {
            return x;
        }
    }
}</source>
  </p>
  <p>
    Then, to evalute <i>e</i><sup>x</sup> for any value x, simply call any of the
    <code>evalute</code> methods.
  </p>
</subsection>

<subsection name="6.5 Binomial coefficients, factorials, Stirling numbers and other common math functions" href="binomial_coefficients_factorials_and_other_common_math_functions">
    <p>
    A collection of reusable math functions is provided in the
    <a href="../apidocs/org/apache/commons/math4/util/ArithmeticUtils.html">ArithmeticUtils</a>
    utility class.  ArithmeticUtils currently includes methods to compute the following: <ul>
    <li>
    Binomial coefficients -- "n choose k" available as an (exact) long value,
    <code>binomialCoefficient(int, int)</code> for small n, k; as a double,
    <code>binomialCoefficientDouble(int, int)</code> for larger values; and in
    a "super-sized" version, <code>binomialCoefficientLog(int, int)</code>
    that returns the natural logarithm of the value.</li>
    <li>
    Stirling numbers of the second kind -- S(n,k) as an exact long value
    <code>stirlingS2(int, int)</code> for small n, k.</li>
    <li>
    Factorials -- like binomial coefficients, these are available as exact long
    values, <code>factorial(int)</code>;  doubles,
    <code>factorialDouble(int)</code>; or logs, <code>factorialLog(int)</code>. </li>
    <li>
    Least common multiple and greatest common denominator functions.
    </li>
    </ul>
    </p>
</subsection>

<subsection name="6.6 Fast mathematical functions" href="fast_math">
    <p>
        Apache Commons Math provides a faster, more accurate, portable alternative
        to the regular <code>Math</code> and <code>StrictMath</code>classes for large
        scale computation.
    </p>
    <p>
        FastMath is a drop-in replacement for both Math and StrictMath. This
        means that for any method in Math (say <code>Math.sin(x)</code> or
        <code>Math.cbrt(y)</code>), user can directly change the class and use the
        methods as is (using <code>FastMath.sin(x)</code> or <code>FastMath.cbrt(y)</code>
        in the previous example).
    </p>
    <p>
        FastMath speed is achieved by relying heavily on optimizing compilers to
        native code present in many JVM todays and use of large tables. Precomputed
        literal arrays are provided in this class to speed up load time. These
        precomputed tables are used in the default configuration, to improve speed
        even at first use of the class. If users prefer to compute the tables
        automatically at load time, they can change a compile-time constant. This will
        increase class load time at first use, but this overhead will occur only once
        per run, regardless of the number of subsequent calls to computation methods.
        Note that FastMath is extensively used inside Apache Commons Math, so by
        calling some algorithms, the one-shot overhead when the constant is set to
        false will occur regardless of the end-user calling FastMath methods directly
        or not. Performance figures for a specific JVM and hardware can be evaluated by
        running the FastMathTestPerformance tests in the test directory of the source
        distribution.
    </p>
    <p>
        FastMath accuracy should be mostly independent of the JVM as it relies only
        on IEEE-754 basic operations and on embedded tables. Almost all operations
        are accurate to about 0.5 ulp throughout the domain range. This statement, of
        course is only a rough global observed behavior, it is <em>not</em> a guarantee
        for <em>every</em> double numbers input (see William Kahan's <a
        href="http://en.wikipedia.org/wiki/Rounding#The_table-maker.27s_dilemma">Table
        Maker's Dilemma</a>).
    </p>
    <p>
        FastMath additionally implements the following methods not found in Math/StrictMath:
        <ul>
            <li>asinh(double)</li>
            <li>acosh(double)</li>
            <li>atanh(double)</li>
            <li>pow(double,int)</li>
        </ul>
        The following methods are found in Math/StrictMath since 1.6 only, they are
        provided by FastMath even in 1.5 Java virtual machines
        <ul>
            <li>copySign(double, double)</li>
            <li>getExponent(double)</li>
            <li>nextAfter(double,double)</li>
            <li>nextUp(double)</li>
            <li>scalb(double, int)</li>
            <li>copySign(float, float)</li>
            <li>getExponent(float)</li>
            <li>nextAfter(float,double)</li>
            <li>nextUp(float)</li>
            <li>scalb(float, int)</li>
        </ul>
    </p>
</subsection>

<subsection name="6.7 Miscellaneous" href="miscellaneous">
  The <a href="../apidocs/org/apache/commons/math4/util/MultidimensionalCounter.html">
    MultidimensionalCounter</a> is a utility class that converts a set of indices
  (identifying points in a multidimensional space) to a single index (e.g. identifying
  a location in a one-dimensional array.
</subsection>

</section>

</body>
</document>