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📄 eigen.html

📁 包含了模式识别中常用的一些分类器设计算法
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<TD><CODE><B><A HREF="Eigen.html#copy_FV(double[], double[], int)">copy_FV</A></B>(double[]&nbsp;src,        double[]&nbsp;dest,        int&nbsp;dim)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine copies one vectors contents to another</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#elmhes(Matrix)">elmhes</A></B>(<A HREF="Matrix.html" title="class in &lt;Unnamed&gt;">Matrix</A>&nbsp;M)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine reduces a matrix to hessenberg's form by the elimination method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#Euclidian_Distance(double[], double[], int)">Euclidian_Distance</A></B>(double[]&nbsp;S1,                   double[]&nbsp;S2,                   int&nbsp;dim)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this function computes the euclidean distance between two vwctors</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#hqr(Matrix, double[], double[])">hqr</A></B>(<A HREF="Matrix.html" title="class in &lt;Unnamed&gt;">Matrix</A>&nbsp;M,    double[]&nbsp;wr,    double[]&nbsp;wi)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine finds all eignvalues of an upper hessenberg matrix.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#linearSolve(Matrix, double, double[], double[])">linearSolve</A></B>(<A HREF="Matrix.html" title="class in &lt;Unnamed&gt;">Matrix</A>&nbsp;M,            double&nbsp;eigVal,            double[]&nbsp;y,            double[]&nbsp;x)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine uses the ludcmp and lubksb routines to find eigenvectors  corresponding to a given eigen value using the inverse iteration method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#ludcmp(int, int[], double[][], java.lang.Double)">ludcmp</A></B>(int&nbsp;n,       int[]&nbsp;indx,       double[][]&nbsp;a,       java.lang.Double&nbsp;d)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;given a matrix a[1..n][1..n], this routine replaces it by the LU decomposition of a row wise permutation of itself.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#myrandom()">myrandom</A></B>()</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine uses knuth's subtractive algorithm to generate uniform random numbers in (0, 1) return   random number between 0 and 1</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#norm_vector(double[], int)">norm_vector</A></B>(double[]&nbsp;V,            int&nbsp;dim)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine takes in a vector and normalizes the vector</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#normEigVec(double, double[])">normEigVec</A></B>(double&nbsp;eigVal,           double[]&nbsp;eigVec)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;an Eigenvalue 'eigVal' and the corresponding Eigenvectors this method normalizes the eigen vectors i.e.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;void</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#random_unit_vector(double[], int)">random_unit_vector</A></B>(double[]&nbsp;x,                   int&nbsp;dim)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine generates a random vector of length dim with unit size</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;double[]</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#sortEigen(double[])">sortEigen</A></B>(double[]&nbsp;wr)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this method sorts the eigen values in decreasing order of importance</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static&nbsp;double</CODE></FONT></TD><TD><CODE><B><A HREF="Eigen.html#vector_len(double[], int)">vector_len</A></B>(double[]&nbsp;V,           int&nbsp;dim)</CODE><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;this routine returns the length of the vector</TD></TR></TABLE>&nbsp;<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD></TR></TABLE>&nbsp;<P><!-- ============ FIELD DETAIL =========== --><A NAME="field_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Field Detail</B></FONT></TH></TR></TABLE><A NAME="MAXRAND"><!-- --></A><H3>MAXRAND</H3><PRE>public static final int <B>MAXRAND</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MAXRAND">Constant Field Values</A></DL></DL><HR><A NAME="INFINITY"><!-- --></A><H3>INFINITY</H3><PRE>public static final double <B>INFINITY</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.INFINITY">Constant Field Values</A></DL></DL><HR><A NAME="MIN_INITIAL_GROWTH"><!-- --></A><H3>MIN_INITIAL_GROWTH</H3><PRE>public static final double <B>MIN_INITIAL_GROWTH</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MIN_INITIAL_GROWTH">Constant Field Values</A></DL></DL><HR><A NAME="MAX_INITIAL_ITER"><!-- --></A><H3>MAX_INITIAL_ITER</H3><PRE>public static final int <B>MAX_INITIAL_ITER</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MAX_INITIAL_ITER">Constant Field Values</A></DL></DL><HR><A NAME="EPSILON"><!-- --></A><H3>EPSILON</H3><PRE>public static final double <B>EPSILON</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.EPSILON">Constant Field Values</A></DL></DL><HR><A NAME="MAX_ITER"><!-- --></A><H3>MAX_ITER</H3><PRE>public static final int <B>MAX_ITER</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MAX_ITER">Constant Field Values</A></DL></DL><HR><A NAME="MAX_L_UPDATE"><!-- --></A><H3>MAX_L_UPDATE</H3><PRE>public static final int <B>MAX_L_UPDATE</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MAX_L_UPDATE">Constant Field Values</A></DL></DL><HR><A NAME="MIN_DECREASE"><!-- --></A><H3>MIN_DECREASE</H3><PRE>public static final double <B>MIN_DECREASE</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MIN_DECREASE">Constant Field Values</A></DL></DL><HR><A NAME="TINY"><!-- --></A><H3>TINY</H3><PRE>public static final double <B>TINY</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.TINY">Constant Field Values</A></DL></DL><HR><A NAME="MY_MAXINT"><!-- --></A><H3>MY_MAXINT</H3><PRE>public static final int <B>MY_MAXINT</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.MY_MAXINT">Constant Field Values</A></DL></DL><HR><A NAME="RAND_INIT"><!-- --></A><H3>RAND_INIT</H3><PRE>public static final int <B>RAND_INIT</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.RAND_INIT">Constant Field Values</A></DL></DL><HR><A NAME="RAND_BIG"><!-- --></A><H3>RAND_BIG</H3><PRE>public static final int <B>RAND_BIG</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.RAND_BIG">Constant Field Values</A></DL></DL><HR><A NAME="RAND_SEED"><!-- --></A><H3>RAND_SEED</H3><PRE>public static final int <B>RAND_SEED</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.RAND_SEED">Constant Field Values</A></DL></DL><HR><A NAME="RAND_ARRAY"><!-- --></A><H3>RAND_ARRAY</H3><PRE>public static final int <B>RAND_ARRAY</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.RAND_ARRAY">Constant Field Values</A></DL></DL><HR><A NAME="RAND_CONST"><!-- --></A><H3>RAND_CONST</H3><PRE>public static final int <B>RAND_CONST</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.RAND_CONST">Constant Field Values</A></DL></DL><HR><A NAME="RAND_SCALE"><!-- --></A><H3>RAND_SCALE</H3><PRE>public static final double <B>RAND_SCALE</B></PRE><DL><DL><DT><B>See Also:</B><DD><A HREF="constant-values.html#Eigen.RAND_SCALE">Constant Field Values</A></DL></DL><HR><A NAME="rand_init"><!-- --></A><H3>rand_init</H3><PRE>public static int <B>rand_init</B></PRE><DL><DL></DL></DL><HR><A NAME="temp_init"><!-- --></A><H3>temp_init</H3><PRE>public static int <B>temp_init</B></PRE><DL><DL></DL></DL><HR><A NAME="m_array"><!-- --></A><H3>m_array</H3><PRE>public static int[] <B>m_array</B></PRE><DL><DL></DL></DL><HR><A NAME="next_i"><!-- --></A><H3>next_i</H3><PRE>public static int <B>next_i</B></PRE><DL><DL></DL>

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