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+<!-- ======== START OF CLASS DATA ======== -->
+<div class="header">
+<div class="subTitle">org.apache.commons.math3.special</div>
+<h2 title="Class Gamma" class="title">Class Gamma</h2>
+</div>
+<div class="contentContainer">
+<ul class="inheritance">
+<li><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">java.lang.Object</a></li>
+<li>
+<ul class="inheritance">
+<li>org.apache.commons.math3.special.Gamma</li>
+</ul>
+</li>
+</ul>
+<div class="description">
+<ul class="blockList">
+<li class="blockList">
+<hr>
+<br>
+<pre>public class <span class="strong">Gamma</span>
+extends <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></pre>
+<div class="block"><p>
+ This is a utility class that provides computation methods related to the
+ &Gamma; (Gamma) family of functions.
+ </p>
+ <p>
+ Implementation of <a href="../../../../../org/apache/commons/math3/special/Gamma.html#invGamma1pm1(double)"><code>invGamma1pm1(double)</code></a> and
+ <a href="../../../../../org/apache/commons/math3/special/Gamma.html#logGamma1p(double)"><code>logGamma1p(double)</code></a> is based on the algorithms described in
+ <ul>
+ <li><a href="http://dx.doi.org/10.1145/22721.23109">Didonato and Morris
+ (1986)</a>, <em>Computation of the Incomplete Gamma Function Ratios and
+ their Inverse</em>, TOMS 12(4), 377-393,</li>
+ <li><a href="http://dx.doi.org/10.1145/131766.131776">Didonato and Morris
+ (1992)</a>, <em>Algorithm 708: Significant Digit Computation of the
+ Incomplete Beta Function Ratios</em>, TOMS 18(3), 360-373,</li>
+ </ul>
+ and implemented in the
+ <a href="http://www.dtic.mil/docs/citations/ADA476840">NSWC Library of Mathematical Functions</a>,
+ available
+ <a href="http://www.ualberta.ca/CNS/RESEARCH/Software/NumericalNSWC/site.html">here</a>.
+ This library is "approved for public release", and the
+ <a href="http://www.dtic.mil/dtic/pdf/announcements/CopyrightGuidance.pdf">Copyright guidance</a>
+ indicates that unless otherwise stated in the code, all FORTRAN functions in
+ this library are license free. Since no such notice appears in the code these
+ functions can safely be ported to Commons-Math.
+ </p></div>
+</li>
+</ul>
+</div>
+<div class="summary">
+<ul class="blockList">
+<li class="blockList">
+<!-- =========== FIELD SUMMARY =========== -->
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+<li class="blockList"><a name="field_summary">
+<!-- -->
+</a>
+<h3>Field Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Field Summary table, listing fields, and an explanation">
+<caption><span>Fields</span><span class="tabEnd">&nbsp;</span></caption>
+<tr>
+<th class="colFirst" scope="col">Modifier and Type</th>
+<th class="colLast" scope="col">Field and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#GAMMA">GAMMA</a></strong></code>
+<div class="block"><a href="http://en.wikipedia.org/wiki/Euler-Mascheroni_constant">Euler-Mascheroni constant</a></div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#LANCZOS_G">LANCZOS_G</a></strong></code>
+<div class="block">The value of the <code>g</code> constant in the Lanczos approximation, see
+ <a href="../../../../../org/apache/commons/math3/special/Gamma.html#lanczos(double)"><code>lanczos(double)</code></a>.</div>
+</td>
+</tr>
+</table>
+</li>
+</ul>
+<!-- ========== METHOD SUMMARY =========== -->
+<ul class="blockList">
+<li class="blockList"><a name="method_summary">
+<!-- -->
+</a>
+<h3>Method Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
+<caption><span>Methods</span><span class="tabEnd">&nbsp;</span></caption>
+<tr>
+<th class="colFirst" scope="col">Modifier and Type</th>
+<th class="colLast" scope="col">Method and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#digamma(double)">digamma</a></strong>(double&nbsp;x)</code>
+<div class="block">Computes the digamma function of x.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#gamma(double)">gamma</a></strong>(double&nbsp;x)</code>
+<div class="block">Returns the value of Γ(x).</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#invGamma1pm1(double)">invGamma1pm1</a></strong>(double&nbsp;x)</code>
+<div class="block">Returns the value of 1 / &Gamma;(1 + x) - 1 for -0&#46;5 &le; x &le;
+ 1&#46;5.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#lanczos(double)">lanczos</a></strong>(double&nbsp;x)</code>
+<div class="block">
+ Returns the Lanczos approximation used to compute the gamma function.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#logGamma(double)">logGamma</a></strong>(double&nbsp;x)</code>
+<div class="block">
+ Returns the value of log&nbsp;&Gamma;(x) for x&nbsp;&gt;&nbsp;0.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#logGamma1p(double)">logGamma1p</a></strong>(double&nbsp;x)</code>
+<div class="block">Returns the value of log &Gamma;(1 + x) for -0&#46;5 &le; x &le; 1&#46;5.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#regularizedGammaP(double,%20double)">regularizedGammaP</a></strong>(double&nbsp;a,
+ double&nbsp;x)</code>
+<div class="block">Returns the regularized gamma function P(a, x).</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#regularizedGammaP(double,%20double,%20double,%20int)">regularizedGammaP</a></strong>(double&nbsp;a,
+ double&nbsp;x,
+ double&nbsp;epsilon,
+ int&nbsp;maxIterations)</code>
+<div class="block">Returns the regularized gamma function P(a, x).</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#regularizedGammaQ(double,%20double)">regularizedGammaQ</a></strong>(double&nbsp;a,
+ double&nbsp;x)</code>
+<div class="block">Returns the regularized gamma function Q(a, x) = 1 - P(a, x).</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#regularizedGammaQ(double,%20double,%20double,%20int)">regularizedGammaQ</a></strong>(double&nbsp;a,
+ double&nbsp;x,
+ double&nbsp;epsilon,
+ int&nbsp;maxIterations)</code>
+<div class="block">Returns the regularized gamma function Q(a, x) = 1 - P(a, x).</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/special/Gamma.html#trigamma(double)">trigamma</a></strong>(double&nbsp;x)</code>
+<div class="block">Computes the trigamma function of x.</div>
+</td>
+</tr>
+</table>
+<ul class="blockList">
+<li class="blockList"><a name="methods_inherited_from_class_java.lang.Object">
+<!-- -->
+</a>
+<h3>Methods inherited from class&nbsp;java.lang.<a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></h3>
+<code><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#clone()" title="class or interface in java.lang">clone</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#equals(java.lang.Object)" title="class or interface in java.lang">equals</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#finalize()" title="class or interface in java.lang">finalize</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#getClass()" title="class or interface in java.lang">getClass</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#hashCode()" title="class or interface in java.lang">hashCode</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notify()" title="class or interface in java.lang">notify</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#notifyAll()" title="class or interface in java.lang">notifyAll</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#toString()" title="class or interface in java.lang">toString</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait()" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long)" title="class or interface in java.lang">wait</a>, <a href="http://docs.oracle.com/javase/7/docs/api/java/lang/Object.html?is-external=true#wait(long,%20int)" title="class or interface in java.lang">wait</a></code></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="details">
+<ul class="blockList">
+<li class="blockList">
+<!-- ============ FIELD DETAIL =========== -->
+<ul class="blockList">
+<li class="blockList"><a name="field_detail">
+<!-- -->
+</a>
+<h3>Field Detail</h3>
+<a name="GAMMA">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>GAMMA</h4>
+<pre>public static final&nbsp;double GAMMA</pre>
+<div class="block"><a href="http://en.wikipedia.org/wiki/Euler-Mascheroni_constant">Euler-Mascheroni constant</a></div>
+<dl><dt><span class="strong">Since:</span></dt>
+ <dd>2.0</dd>
+<dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../constant-values.html#org.apache.commons.math3.special.Gamma.GAMMA">Constant Field Values</a></dd></dl>
+</li>
+</ul>
+<a name="LANCZOS_G">
+<!-- -->
+</a>
+<ul class="blockListLast">
+<li class="blockList">
+<h4>LANCZOS_G</h4>
+<pre>public static final&nbsp;double LANCZOS_G</pre>
+<div class="block">The value of the <code>g</code> constant in the Lanczos approximation, see
+ <a href="../../../../../org/apache/commons/math3/special/Gamma.html#lanczos(double)"><code>lanczos(double)</code></a>.</div>
+<dl><dt><span class="strong">Since:</span></dt>
+ <dd>3.1</dd>
+<dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../constant-values.html#org.apache.commons.math3.special.Gamma.LANCZOS_G">Constant Field Values</a></dd></dl>
+</li>
+</ul>
+</li>
+</ul>
+<!-- ============ METHOD DETAIL ========== -->
+<ul class="blockList">
+<li class="blockList"><a name="method_detail">
+<!-- -->
+</a>
+<h3>Method Detail</h3>
+<a name="logGamma(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>logGamma</h4>
+<pre>public static&nbsp;double&nbsp;logGamma(double&nbsp;x)</pre>
+<div class="block"><p>
+ Returns the value of log&nbsp;&Gamma;(x) for x&nbsp;&gt;&nbsp;0.
+ </p>
+ <p>
+ For x &le; 8, the implementation is based on the double precision
+ implementation in the <em>NSWC Library of Mathematics Subroutines</em>,
+ <code>DGAMLN</code>. For x &gt; 8, the implementation is based on
+ </p>
+ <ul>
+ <li><a href="http://mathworld.wolfram.com/GammaFunction.html">Gamma
+ Function</a>, equation (28).</li>
+ <li><a href="http://mathworld.wolfram.com/LanczosApproximation.html">
+ Lanczos Approximation</a>, equations (1) through (5).</li>
+ <li><a href="http://my.fit.edu/~gabdo/gamma.txt">Paul Godfrey, A note on
+ the computation of the convergent Lanczos complex Gamma
+ approximation</a></li>
+ </ul></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>the value of <code>log(Gamma(x))</code>, <code>Double.NaN</code> if
+ <code>x &lt;= 0.0</code>.</dd></dl>
+</li>
+</ul>
+<a name="regularizedGammaP(double, double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>regularizedGammaP</h4>
+<pre>public static&nbsp;double&nbsp;regularizedGammaP(double&nbsp;a,
+ double&nbsp;x)</pre>
+<div class="block">Returns the regularized gamma function P(a, x).</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>a</code> - Parameter.</dd><dd><code>x</code> - Value.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>the regularized gamma function P(a, x).</dd>
+<dt><span class="strong">Throws:</span></dt>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/MaxCountExceededException.html" title="class in org.apache.commons.math3.exception">MaxCountExceededException</a></code> - if the algorithm fails to converge.</dd></dl>
+</li>
+</ul>
+<a name="regularizedGammaP(double, double, double, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>regularizedGammaP</h4>
+<pre>public static&nbsp;double&nbsp;regularizedGammaP(double&nbsp;a,
+ double&nbsp;x,
+ double&nbsp;epsilon,
+ int&nbsp;maxIterations)</pre>
+<div class="block">Returns the regularized gamma function P(a, x).
+
+ The implementation of this method is based on:
+ <ul>
+ <li>
+ <a href="http://mathworld.wolfram.com/RegularizedGammaFunction.html">
+ Regularized Gamma Function</a>, equation (1)
+ </li>
+ <li>
+ <a href="http://mathworld.wolfram.com/IncompleteGammaFunction.html">
+ Incomplete Gamma Function</a>, equation (4).
+ </li>
+ <li>
+ <a href="http://mathworld.wolfram.com/ConfluentHypergeometricFunctionoftheFirstKind.html">
+ Confluent Hypergeometric Function of the First Kind</a>, equation (1).
+ </li>
+ </ul></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>a</code> - the a parameter.</dd><dd><code>x</code> - the value.</dd><dd><code>epsilon</code> - When the absolute value of the nth item in the
+ series is less than epsilon the approximation ceases to calculate
+ further elements in the series.</dd><dd><code>maxIterations</code> - Maximum number of "iterations" to complete.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>the regularized gamma function P(a, x)</dd>
+<dt><span class="strong">Throws:</span></dt>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/MaxCountExceededException.html" title="class in org.apache.commons.math3.exception">MaxCountExceededException</a></code> - if the algorithm fails to converge.</dd></dl>
+</li>
+</ul>
+<a name="regularizedGammaQ(double, double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>regularizedGammaQ</h4>
+<pre>public static&nbsp;double&nbsp;regularizedGammaQ(double&nbsp;a,
+ double&nbsp;x)</pre>
+<div class="block">Returns the regularized gamma function Q(a, x) = 1 - P(a, x).</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>a</code> - the a parameter.</dd><dd><code>x</code> - the value.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>the regularized gamma function Q(a, x)</dd>
+<dt><span class="strong">Throws:</span></dt>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/MaxCountExceededException.html" title="class in org.apache.commons.math3.exception">MaxCountExceededException</a></code> - if the algorithm fails to converge.</dd></dl>
+</li>
+</ul>
+<a name="regularizedGammaQ(double, double, double, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>regularizedGammaQ</h4>
+<pre>public static&nbsp;double&nbsp;regularizedGammaQ(double&nbsp;a,
+ double&nbsp;x,
+ double&nbsp;epsilon,
+ int&nbsp;maxIterations)</pre>
+<div class="block">Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
+
+ The implementation of this method is based on:
+ <ul>
+ <li>
+ <a href="http://mathworld.wolfram.com/RegularizedGammaFunction.html">
+ Regularized Gamma Function</a>, equation (1).
+ </li>
+ <li>
+ <a href="http://functions.wolfram.com/GammaBetaErf/GammaRegularized/10/0003/">
+ Regularized incomplete gamma function: Continued fraction representations
+ (formula 06.08.10.0003)</a>
+ </li>
+ </ul></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>a</code> - the a parameter.</dd><dd><code>x</code> - the value.</dd><dd><code>epsilon</code> - When the absolute value of the nth item in the
+ series is less than epsilon the approximation ceases to calculate
+ further elements in the series.</dd><dd><code>maxIterations</code> - Maximum number of "iterations" to complete.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>the regularized gamma function P(a, x)</dd>
+<dt><span class="strong">Throws:</span></dt>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/MaxCountExceededException.html" title="class in org.apache.commons.math3.exception">MaxCountExceededException</a></code> - if the algorithm fails to converge.</dd></dl>
+</li>
+</ul>
+<a name="digamma(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>digamma</h4>
+<pre>public static&nbsp;double&nbsp;digamma(double&nbsp;x)</pre>
+<div class="block"><p>Computes the digamma function of x.</p>
+
+ <p>This is an independently written implementation of the algorithm described in
+ Jose Bernardo, Algorithm AS 103: Psi (Digamma) Function, Applied Statistics, 1976.</p>
+
+ <p>Some of the constants have been changed to increase accuracy at the moderate expense
+ of run-time. The result should be accurate to within 10^-8 absolute tolerance for
+ x >= 10^-5 and within 10^-8 relative tolerance for x > 0.</p>
+
+ <p>Performance for large negative values of x will be quite expensive (proportional to
+ |x|). Accuracy for negative values of x should be about 10^-8 absolute for results
+ less than 10^5 and 10^-8 relative for results larger than that.</p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>digamma(x) to within 10-8 relative or absolute error whichever is smaller.</dd><dt><span class="strong">Since:</span></dt>
+ <dd>2.0</dd>
+<dt><span class="strong">See Also:</span></dt><dd><a href="http://en.wikipedia.org/wiki/Digamma_function">Digamma</a>,
+<a href="http://www.uv.es/~bernardo/1976AppStatist.pdf">Bernardo&apos;s original article </a></dd></dl>
+</li>
+</ul>
+<a name="trigamma(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>trigamma</h4>
+<pre>public static&nbsp;double&nbsp;trigamma(double&nbsp;x)</pre>
+<div class="block">Computes the trigamma function of x.
+ This function is derived by taking the derivative of the implementation
+ of digamma.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>trigamma(x) to within 10-8 relative or absolute error whichever is smaller</dd><dt><span class="strong">Since:</span></dt>
+ <dd>2.0</dd>
+<dt><span class="strong">See Also:</span></dt><dd><a href="http://en.wikipedia.org/wiki/Trigamma_function">Trigamma</a>,
+<a href="../../../../../org/apache/commons/math3/special/Gamma.html#digamma(double)"><code>digamma(double)</code></a></dd></dl>
+</li>
+</ul>
+<a name="lanczos(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>lanczos</h4>
+<pre>public static&nbsp;double&nbsp;lanczos(double&nbsp;x)</pre>
+<div class="block"><p>
+ Returns the Lanczos approximation used to compute the gamma function.
+ The Lanczos approximation is related to the Gamma function by the
+ following equation
+ <center>
+ <code>gamma(x) = sqrt(2 * pi) / x * (x + g + 0.5) ^ (x + 0.5)
+ * exp(-x - g - 0.5) * lanczos(x)</code>,
+ </center>
+ where <code>g</code> is the Lanczos constant.
+ </p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>The Lanczos approximation.</dd><dt><span class="strong">Since:</span></dt>
+ <dd>3.1</dd>
+<dt><span class="strong">See Also:</span></dt><dd><a href="http://mathworld.wolfram.com/LanczosApproximation.html">Lanczos Approximation</a>
+ equations (1) through (5), and Paul Godfrey's
+ <a href="http://my.fit.edu/~gabdo/gamma.txt">Note on the computation
+ of the convergent Lanczos complex Gamma approximation</a></dd></dl>
+</li>
+</ul>
+<a name="invGamma1pm1(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>invGamma1pm1</h4>
+<pre>public static&nbsp;double&nbsp;invGamma1pm1(double&nbsp;x)</pre>
+<div class="block">Returns the value of 1 / &Gamma;(1 + x) - 1 for -0&#46;5 &le; x &le;
+ 1&#46;5. This implementation is based on the double precision
+ implementation in the <em>NSWC Library of Mathematics Subroutines</em>,
+ <code>DGAM1</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>The value of <code>1.0 / Gamma(1.0 + x) - 1.0</code>.</dd>
+<dt><span class="strong">Throws:</span></dt>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html" title="class in org.apache.commons.math3.exception">NumberIsTooSmallException</a></code> - if <code>x &lt; -0.5</code></dd>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></code> - if <code>x &gt; 1.5</code></dd><dt><span class="strong">Since:</span></dt>
+ <dd>3.1</dd></dl>
+</li>
+</ul>
+<a name="logGamma1p(double)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>logGamma1p</h4>
+<pre>public static&nbsp;double&nbsp;logGamma1p(double&nbsp;x)
+ throws <a href="../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html" title="class in org.apache.commons.math3.exception">NumberIsTooSmallException</a>,
+ <a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></pre>
+<div class="block">Returns the value of log &Gamma;(1 + x) for -0&#46;5 &le; x &le; 1&#46;5.
+ This implementation is based on the double precision implementation in
+ the <em>NSWC Library of Mathematics Subroutines</em>, <code>DGMLN1</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>The value of <code>log(Gamma(1 + x))</code>.</dd>
+<dt><span class="strong">Throws:</span></dt>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html" title="class in org.apache.commons.math3.exception">NumberIsTooSmallException</a></code> - if <code>x &lt; -0.5</code>.</dd>
+<dd><code><a href="../../../../../org/apache/commons/math3/exception/NumberIsTooLargeException.html" title="class in org.apache.commons.math3.exception">NumberIsTooLargeException</a></code> - if <code>x &gt; 1.5</code>.</dd><dt><span class="strong">Since:</span></dt>
+ <dd>3.1</dd></dl>
+</li>
+</ul>
+<a name="gamma(double)">
+<!-- -->
+</a>
+<ul class="blockListLast">
+<li class="blockList">
+<h4>gamma</h4>
+<pre>public static&nbsp;double&nbsp;gamma(double&nbsp;x)</pre>
+<div class="block">Returns the value of Γ(x). Based on the <em>NSWC Library of
+ Mathematics Subroutines</em> double precision implementation,
+ <code>DGAMMA</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - Argument.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>the value of <code>Gamma(x)</code>.</dd><dt><span class="strong">Since:</span></dt>
+ <dd>3.1</dd></dl>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</div>
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