mathfunctions.html

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<A NAME="log2"><!-- --></A><H3>
log2</H3>
<PRE>
protected static final double <B>log2</B></PRE>
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<DL>
</DL>
</DL>
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<A NAME="DIVISOR_COEFFICIENTS_0"><!-- --></A><H3>
DIVISOR_COEFFICIENTS_0</H3>
<PRE>
protected static final double[] <B>DIVISOR_COEFFICIENTS_0</B></PRE>
<DL>
<DD>coefficients for polynomials used in normalInverse() to estimate normal
 distribution;
<P>
<DL>
</DL>
</DL>
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<A NAME="DIVIDER_COEFFICIENTS_0"><!-- --></A><H3>
DIVIDER_COEFFICIENTS_0</H3>
<PRE>
protected static final double[] <B>DIVIDER_COEFFICIENTS_0</B></PRE>
<DL>
<DL>
</DL>
</DL>
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<A NAME="DIVISOR_COEFFICIENTS_1"><!-- --></A><H3>
DIVISOR_COEFFICIENTS_1</H3>
<PRE>
protected static final double[] <B>DIVISOR_COEFFICIENTS_1</B></PRE>
<DL>
<DL>
</DL>
</DL>
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<A NAME="DIVIDER_COEFFICIENTS_1"><!-- --></A><H3>
DIVIDER_COEFFICIENTS_1</H3>
<PRE>
protected static final double[] <B>DIVIDER_COEFFICIENTS_1</B></PRE>
<DL>
<DL>
</DL>
</DL>
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<A NAME="DIVISOR_COEFFICIENTS_3"><!-- --></A><H3>
DIVISOR_COEFFICIENTS_3</H3>
<PRE>
protected static final double[] <B>DIVISOR_COEFFICIENTS_3</B></PRE>
<DL>
<DL>
</DL>
</DL>
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<A NAME="DIVIDER_COEFFICIENTS_3"><!-- --></A><H3>
DIVIDER_COEFFICIENTS_3</H3>
<PRE>
protected static final double[] <B>DIVIDER_COEFFICIENTS_3</B></PRE>
<DL>
<DL>
</DL>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->

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<A NAME="MathFunctions()"><!-- --></A><H3>
MathFunctions</H3>
<PRE>
public <B>MathFunctions</B>()</PRE>
<DL>
</DL>

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<A NAME="tanh(double)"><!-- --></A><H3>
tanh</H3>
<PRE>
public static double <B>tanh</B>(double&nbsp;x)</PRE>
<DL>
<DD>returns tangens hyperbolicus of <tt>x</tt>, i.e. <i>y = tanh(x) = (e^x -
 e^-x) / (e^x + e^-x)</i>.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="normalInverse(double)"><!-- --></A><H3>
normalInverse</H3>
<PRE>
public static double <B>normalInverse</B>(double&nbsp;probability)</PRE>
<DL>
<DD>Returns the value x for which the area under the normal probability
 density function (integrated from minus infinity to this value x) is
 equal to the given probability. The normal distribution has mean of zero
 and variance of one.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>probability</CODE> - the area under the normal pdf
<DT><B>Returns:</B><DD>x</DL>
</DD>
</DL>
<HR>

<A NAME="solvePolynomial(double, double[])"><!-- --></A><H3>
solvePolynomial</H3>
<PRE>
public static double <B>solvePolynomial</B>(double&nbsp;x,
                                     double[]&nbsp;coefficients)</PRE>
<DL>
<DD>Solves a given polynomial at x. The polynomial is given by the
 coefficients. The coefficients are stored in natural order:
 coefficients[i] : c_i*x^i
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="variance(double[], double)"><!-- --></A><H3>
variance</H3>
<PRE>
public static double <B>variance</B>(double[]&nbsp;v,
                              double&nbsp;a)</PRE>
<DL>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>v</CODE> - a vector values<DD><CODE>a</CODE> - a threeshold, only values greater equal this value are used in
            the calculation
<DT><B>Returns:</B><DD>the variance</DL>
</DD>
</DL>
<HR>

<A NAME="correlation(double[], double[])"><!-- --></A><H3>
correlation</H3>
<PRE>
public static double <B>correlation</B>(double[]&nbsp;x1,
                                 double[]&nbsp;x2)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="robustMin(double, double)"><!-- --></A><H3>
robustMin</H3>
<PRE>
public static double <B>robustMin</B>(double&nbsp;m1,
                               double&nbsp;m2)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="robustMax(double, double)"><!-- --></A><H3>
robustMax</H3>
<PRE>
public static double <B>robustMax</B>(double&nbsp;m1,
                               double&nbsp;m2)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="ld(double)"><!-- --></A><H3>
ld</H3>
<PRE>
public static double <B>ld</B>(double&nbsp;value)</PRE>
<DL>
<DD>This method returns the logarithmus dualis from value
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>value</CODE> - the value
<DT><B>Returns:</B><DD>the log2 of value</DL>
</DD>
</DL>
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