binormal.html

包含了模式识别中常用的一些分类器设计算法

                   double[] covm,
                   int p,
                   double[]&nbsp;parm)</PRE>
<DL>
<DD>methods sets up the parameters needed to generate the multivariate 
 normal deviates form the inputs given
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>meanv</CODE> - mean vector of multivariate normal distribution<DD><CODE>covm</CODE> - covariance matrix of multivariate 
         normal distribution<DD><CODE>p</CODE> - dimension of the normal<DD><CODE>parm</CODE> - array of parameters needed to generate 
                   multivariate normal deviates</DL>
</DD>
</DL>
<HR>

<A NAME="genmn(double[], double[], double[])"><!-- --></A><H3>
genmn</H3>
<PRE>
public void <B>genmn</B>(double[]&nbsp;parm,
                  double[]&nbsp;x,
                  double[]&nbsp;work)</PRE>
<DL>
<DD>methods generates the multivariate normal deviates using the procedure:
 1) generate p independent standard normal deviates - ei ~ n(0,1)
 2) using cholesky decomposition find a s.t. trans(a)*a = covm
 3) trans(a)e + meanv ~ n(meanv,covm)
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>parm</CODE> - array of parameters needed to generate 
             multivariate normal deviates<DD><CODE>x</CODE> - vector deviate generated<DD><CODE>work</CODE> - scratch array</DL>
</DD>
</DL>
<HR>

<A NAME="ranf()"><!-- --></A><H3>
ranf</H3>
<PRE>
public double <B>ranf</B>()</PRE>
<DL>
<DD>generates a uniform distribution over 0 - 1
<P>
<DD><DL>

<DT><B>Returns:</B><DD>random floating point number from a uniform distribution
            over 0 - 1 using the current generator</DL>
</DD>
</DL>
<HR>

<A NAME="snorm40()"><!-- --></A><H3>
snorm40</H3>
<PRE>
public void <B>snorm40</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm50()"><!-- --></A><H3>
snorm50</H3>
<PRE>
public void <B>snorm50</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm60()"><!-- --></A><H3>
snorm60</H3>
<PRE>
public void <B>snorm60</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm70()"><!-- --></A><H3>
snorm70</H3>
<PRE>
public void <B>snorm70</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm80()"><!-- --></A><H3>
snorm80</H3>
<PRE>
public void <B>snorm80</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm100()"><!-- --></A><H3>
snorm100</H3>
<PRE>
public void <B>snorm100</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm110()"><!-- --></A><H3>
snorm110</H3>
<PRE>
public void <B>snorm110</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm120()"><!-- --></A><H3>
snorm120</H3>
<PRE>
public void <B>snorm120</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm140()"><!-- --></A><H3>
snorm140</H3>
<PRE>
public void <B>snorm140</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm150()"><!-- --></A><H3>
snorm150</H3>
<PRE>
public void <B>snorm150</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm160()"><!-- --></A><H3>
snorm160</H3>
<PRE>
public void <B>snorm160</B>()</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="snorm()"><!-- --></A><H3>
snorm</H3>
<PRE>
public double <B>snorm</B>()</PRE>
<DL>
<DD>ahrens, j.h. and dieter, u.                            
 extensions of forsythe's method for random             
 sampling from the normal distribution.                 
 math. comput., 27,124 (oct. 1973), 927 - 937.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>standard normal distribution</DL>
</DD>
</DL>
<HR>

<A NAME="sdot(int, double[], int, int, double[], int, int)"><!-- --></A><H3>
sdot</H3>
<PRE>
public double <B>sdot</B>(int&nbsp;n,
                   double[]&nbsp;sx,
                   int&nbsp;dx,
                   int&nbsp;incx,
                   double[]&nbsp;sy,
                   int&nbsp;dy,
                   int&nbsp;incy)</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>n</CODE> - integer<DD><CODE>sx</CODE> - array of doubles<DD><CODE>dx</CODE> - integer<DD><CODE>incx</CODE> - integer<DD><CODE>sy</CODE> - array of doubles<DD><CODE>dy</CODE> - integer<DD><CODE>incy</CODE> - integer
<DT><B>Returns:</B><DD>double value of sdot</DL>
</DD>
</DL>
<HR>

<A NAME="spofa(double[], int, int)"><!-- --></A><H3>
spofa</H3>
<PRE>
public void <B>spofa</B>(double[]&nbsp;a,
                  int&nbsp;lda,
                  int&nbsp;n)</PRE>
<DL>
<DD>linpack.  this version dated 08/14/78
 cleve moler, university of new mexico, argonne national lab
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>a</CODE> - array of doubles<DD><CODE>lda</CODE> - integer<DD><CODE>n</CODE> - integer</DL>
</DD>
</DL>
<HR>

<A NAME="gaussian(int, double, double, double[], double[], double, double, double, double)"><!-- --></A><H3>
gaussian</H3>
<PRE>
public void <B>gaussian</B>(int&nbsp;max,
                     double&nbsp;mx,
                     double&nbsp;my,
                     double[]&nbsp;xval,
                     double[]&nbsp;yval,
                     double&nbsp;c11,
                     double&nbsp;c12,
                     double&nbsp;c21,
                     double&nbsp;c22)</PRE>
<DL>
<DD>Generates binormal gaussian random deviates
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>max</CODE> - number of deviates<DD><CODE>mx</CODE> - mean, X-COORDINATE<DD><CODE>my</CODE> - mean, y-coordinate<DD><CODE>c11</CODE> - a11 element of the covariance matrix<DD><CODE>c12</CODE> - a12 element of the covariance matrix<DD><CODE>c21</CODE> - a21 element of the covariance matrix<DD><CODE>c22</CODE> - a22 element of the covariance matrix<DD><CODE>xval</CODE> - x-vector of the gaussian random deviates<DD><CODE>yval</CODE> - y-vector of the gaussian random deviates</DL>
</DD>
</DL>
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