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<BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#getColumn(int)">getColumn</A></B>(int j)</CODE><BR> Return a DoubleVector that stores a column of the matrix</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#getColumn(int, int, int)">getColumn</A></B>(int i0, int i1, int j)</CODE><BR> Return a DoubleVector that stores some elements of a column of the matrix</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#h1(int, int)">h1</A></B>(int j, int k)</CODE><BR> Constructs single Householder transformation for a column</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#h2(int, int, double, weka.classifiers.functions.pace.PaceMatrix, int)">h2</A></B>(int j, int k, double q, <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, int l)</CODE><BR> Performs single Householder transformation on one column of a matrix</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#isEmpty()">isEmpty</A></B>()</CODE><BR> Check if the matrix is empty</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#leastExplainingColumn(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector, int, int)">leastExplainingColumn</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt, int ks, int k0)</CODE><BR> Returns the index of the column that has the smallest (squared) response, when the column is moved to become the (ks-1)-th column.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#lsqr(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector, int)">lsqr</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt, int k0)</CODE><BR> QR transformation for a least squares problem A x = b</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#lsqrSelection(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector, int)">lsqrSelection</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt, int k0)</CODE><BR> QR transformation for a least squares problem A x = b</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#main(java.lang.String[])">main</A></B>(java.lang.String[] args)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#maxAbs()">maxAbs</A></B>()</CODE><BR> Returns the maximum absolute value of all elements</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#maxAbs(int, int, int)">maxAbs</A></B>(int i0, int i1, int j)</CODE><BR> Returns the maximum absolute value of some elements of a column, that is, the elements of A[i0:i1][j].</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#minAbs(int, int, int)">minAbs</A></B>(int i0, int i1, int column)</CODE><BR> Returns the minimum absolute value of some elements of a column, that is, the elements of A[i0:i1][j].</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#mostExplainingColumn(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector, int)">mostExplainingColumn</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt, int ks)</CODE><BR> Returns the index of the column that has the largest (squared) response, when each of columns pvt[ks:] is moved to become the ks-th column.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#nnls(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector)">nnls</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt)</CODE><BR> Solves the nonnegative linear squares problem.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#nnlse(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector)">nnlse</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> c, <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> d, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt)</CODE><BR> Solves the nonnegative least squares problem with equality constraint.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#nnlse1(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector)">nnlse1</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt)</CODE><BR> Solves the nonnegative least squares problem with equality constraint.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#positiveDiagonal(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector)">positiveDiagonal</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> Y, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt)</CODE><BR> Sets all diagonal elements to be positive (or nonnegative) without changing the least squares solution</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static <A HREF="../../../../weka/classifiers/functions/pace/Matrix.html" title="class in weka.classifiers.functions.pace">Matrix</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#randomNormal(int, int)">randomNormal</A></B>(int m, int n)</CODE><BR> Generate matrix with standard-normally distributed random elements</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#rbind(weka.classifiers.functions.pace.PaceMatrix)">rbind</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b)</CODE><BR> Returns a new matrix which binds two matrices together with rows.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#rsolve(weka.classifiers.functions.pace.PaceMatrix, weka.classifiers.functions.pace.IntVector, int)">rsolve</A></B>(<A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html" title="class in weka.classifiers.functions.pace">PaceMatrix</A> b, <A HREF="../../../../weka/classifiers/functions/pace/IntVector.html" title="class in weka.classifiers.functions.pace">IntVector</A> pvt, int kp)</CODE><BR> Solves upper-triangular equation R x = b</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#setColumnDimension(int)">setColumnDimension</A></B>(int columnDimension)</CODE><BR> Set the column dimenion of the matrix</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#setMatrix(double[], boolean)">setMatrix</A></B>(double[] v, boolean columnFirst)</CODE><BR> Set the whole matrix from a 1-D array</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#setMatrix(int, int, int, weka.classifiers.functions.pace.DoubleVector)">setMatrix</A></B>(int i0, int i1, int j, <A HREF="../../../../weka/classifiers/functions/pace/DoubleVector.html" title="class in weka.classifiers.functions.pace">DoubleVector</A> v)</CODE><BR> Set the submatrix A[i0:i1][j] with the values stored in a DoubleVector</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#setMatrix(int, int, int, int, double)">setMatrix</A></B>(int i0, int i1, int j0, int j1, double s)</CODE><BR> Set the submatrix A[i0:i1][j0:j1] with a same value</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../weka/classifiers/functions/pace/PaceMatrix.html#setPlus(int, int, double)">setPlus</A></B>(int i, int j, double s)</CODE><BR> Add a value to an element and reset the element</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD>
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