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[PATCH] Add NaN-awareness to matrix min/max operators (2/4)


From: Edward Jason Riedy
Subject: [PATCH] Add NaN-awareness to matrix min/max operators (2/4)
Date: Sun, 03 Sep 2000 21:25:54 -0700

The next in the series.  I put the default OCTAVE_IGNORE_NAN_DEFAULT
in mx-defs.h simply because I couldn't see a better place.

Jason

liboctave/ChangeLog
        
        * mx-reductions.h: New file.  Helps define matrix reductions.
        * mx-defs.h (OCTAVE_IGNORE_NAN_DEFAULT): New define for ignore_nan
        default value.
        * dMatrix.h (Matrix::row_min, Matrix::row_max, Matrix::column_min,
        Matrix::column_max): add bool ignore_nan parameter.
        * dMatrix.cc: include mx-reductions.h, define reduction helpers
        (Matrix::row_min): Replace with mx-reductions.h:DEF_COMP_OP call.
        (Matrix::row_max): Ditto.
        (Matrix::column_min): Ditto.
        (Matrix::column_max): Ditto.
        * cMatrix.hh: Changes analagous to those in dMatrix.h.
        * cMatrix.cc: Changes analagous to those in dMatrix.cc.
        * oct-cmplx.h: Include <functional>
        (ComplexLess): std::binary_function implementing less-than over
        complex numbers by magnitude.
        (ComplexGreater): Analagous, for greater-than.

--- octave.orig/liboctave/CMatrix.cc    Mon Feb  7 20:35:41 2000
+++ octave.2/liboctave/CMatrix.cc       Sat Sep  2 20:06:29 2000
@@ -54,6 +54,7 @@
 #include "mx-cm-s.h"
 #include "mx-inlines.cc"
 #include "oct-cmplx.h"
+#include "mx-reductions.h"
 
 // Fortran functions we call.
 
@@ -2616,253 +2617,16 @@
   return retval;             
 }
 
-ComplexColumnVector
-ComplexMatrix::row_min (void) const
-{
-  Array<int> index;
-  return row_min (index);
-}
-
-ComplexColumnVector
-ComplexMatrix::row_min (Array<int>& index) const
-{
-  ComplexColumnVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nr);
-      index.resize (nr);
-
-      for (int i = 0; i < nr; i++)
-        {
-         int idx_j = 0;
-
-         Complex tmp_min = elem (i, idx_j);
-
-         bool real_only = row_is_real_only (i);
-
-         double abs_min = real_only ? real (tmp_min) : abs (tmp_min);
-
-         if (xisnan (tmp_min))
-           idx_j = -1;
-         else
-           {
-             for (int j = 1; j < nc; j++)
-               {
-                 Complex tmp = elem (i, j);
-
-                 double abs_tmp = real_only ? real (tmp) : abs (tmp);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_j = -1;
-                     break;
-                   }
-                 else if (abs_tmp < abs_min)
-                   {
-                     idx_j = j;
-                     tmp_min = tmp;
-                     abs_min = abs_tmp;
-                   }
-               }
-
-             result.elem (i) = (idx_j < 0) ? Complex_NaN_result : tmp_min;
-             index.elem (i) = idx_j;
-           }
-        }
-    }
-
-  return result;
-}
-
-ComplexColumnVector
-ComplexMatrix::row_max (void) const
-{
-  Array<int> index;
-  return row_max (index);
-}
-
-ComplexColumnVector
-ComplexMatrix::row_max (Array<int>& index) const
-{
-  ComplexColumnVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nr);
-      index.resize (nr);
-
-      for (int i = 0; i < nr; i++)
-        {
-         int idx_j = 0;
-
-         Complex tmp_max = elem (i, idx_j);
-
-         bool real_only = row_is_real_only (i);
-
-         double abs_max = real_only ? real (tmp_max) : abs (tmp_max);
-
-         if (xisnan (tmp_max))
-           idx_j = -1;
-         else
-           {
-             for (int j = 1; j < nc; j++)
-               {
-                 Complex tmp = elem (i, j);
-
-                 double abs_tmp = real_only ? real (tmp) : abs (tmp);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_j = -1;
-                     break;
-                   }
-                 else if (abs_tmp > abs_max)
-                   {
-                     idx_j = j;
-                     tmp_max = tmp;
-                     abs_max = abs_tmp;
-                   }
-               }
-
-             result.elem (i) = (idx_j < 0) ? Complex_NaN_result : tmp_max;
-             index.elem (i) = idx_j;
-           }
-        }
-    }
-
-  return result;
-}
-
-ComplexRowVector
-ComplexMatrix::column_min (void) const
-{
-  Array<int> index;
-  return column_min (index);
-}
-
-ComplexRowVector
-ComplexMatrix::column_min (Array<int>& index) const
-{
-  ComplexRowVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nc);
-      index.resize (nc);
-
-      for (int j = 0; j < nc; j++)
-        {
-         int idx_i = 0;
-
-         Complex tmp_min = elem (idx_i, j);
-
-         bool real_only = column_is_real_only (j);
-
-         double abs_min = real_only ? real (tmp_min) : abs (tmp_min);
-
-         if (xisnan (tmp_min))
-           idx_i = -1;
-         else
-           {
-             for (int i = 1; i < nr; i++)
-               {
-                 Complex tmp = elem (i, j);
-
-                 double abs_tmp = real_only ? real (tmp) : abs (tmp);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_i = -1;
-                     break;
-                   }
-                 else if (abs_tmp < abs_min)
-                   {
-                     idx_i = i;
-                     tmp_min = tmp;
-                     abs_min = abs_tmp;
-                   }
-               }
-
-             result.elem (j) = (idx_i < 0) ? Complex_NaN_result : tmp_min;
-             index.elem (j) = idx_i;
-           }
-        }
-    }
-
-  return result;
-}
-
-ComplexRowVector
-ComplexMatrix::column_max (void) const
-{
-  Array<int> index;
-  return column_max (index);
-}
-
-ComplexRowVector
-ComplexMatrix::column_max (Array<int>& index) const
-{
-  ComplexRowVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nc);
-      index.resize (nc);
-
-      for (int j = 0; j < nc; j++)
-        {
-         int idx_i = 0;
-
-         Complex tmp_max = elem (idx_i, j);
-
-         bool real_only = column_is_real_only (j);
-
-         double abs_max = real_only ? real (tmp_max) : abs (tmp_max);
-
-         if (xisnan (tmp_max))
-           idx_i = -1;
-         else
-           {
-             for (int i = 1; i < nr; i++)
-               {
-                 Complex tmp = elem (i, j);
-
-                 double abs_tmp = real_only ? real (tmp) : abs (tmp);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_i = -1;
-                     break;
-                   }
-                 else if (abs_tmp > abs_max)
-                   {
-                     idx_i = i;
-                     tmp_max = tmp;
-                     abs_max = abs_tmp;
-                   }
-               }
-
-             result.elem (j) = (idx_i < 0) ? Complex_NaN_result : tmp_max;
-             index.elem (j) = idx_i;
-           }
-        }
-    }
-
-  return result;
-}
+// Use definition macros from mx-reductions.h
+DEF_REDUCTION_HELPER(row, ComplexMatrix, ComplexColumn, nr)
+DEF_REDUCTION_HELPER(column, ComplexMatrix, ComplexRow, nc)
+
+// Use definition macros from mx-reductions.h
+// Defines row_min, row_max, column_min, column_max
+DEF_COMP_OP(row, ComplexMatrix, ComplexColumn, Complex, min, ComplexLess)
+DEF_COMP_OP(row, ComplexMatrix, ComplexColumn, Complex, max, ComplexGreater)
+DEF_COMP_OP(column, ComplexMatrix, ComplexRow, Complex, min, ComplexLess)
+DEF_COMP_OP(column, ComplexMatrix, ComplexRow, Complex, max, ComplexGreater)
 
 // i/o
 
diff --new-file -r -u octave.orig/liboctave/CMatrix.h 
octave.2/liboctave/CMatrix.h
--- octave.orig/liboctave/CMatrix.h     Mon Feb  7 20:35:41 2000
+++ octave.2/liboctave/CMatrix.h        Sat Sep  2 20:15:09 2000
@@ -256,17 +256,29 @@
   bool row_is_real_only (int) const;
   bool column_is_real_only (int) const;
 
-  ComplexColumnVector row_min (void) const;
-  ComplexColumnVector row_max (void) const;
+  ComplexColumnVector row_min (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
+  ComplexColumnVector row_max (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
 
-  ComplexColumnVector row_min (Array<int>& index) const;
-  ComplexColumnVector row_max (Array<int>& index) const;
+  ComplexColumnVector row_min (Array<int>& index,
+                               bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
+  ComplexColumnVector row_max (Array<int>& index,
+                               bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
 
-  ComplexRowVector column_min (void) const;
-  ComplexRowVector column_max (void) const;
+  ComplexRowVector column_min (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
+  ComplexRowVector column_max (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
 
-  ComplexRowVector column_min (Array<int>& index) const;
-  ComplexRowVector column_max (Array<int>& index) const;
+  ComplexRowVector column_min (Array<int>& index,
+                               bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
+  ComplexRowVector column_max (Array<int>& index,
+                               bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT)
+      const;
 
   // i/o
 
diff --new-file -r -u octave.orig/liboctave/dMatrix.cc 
octave.2/liboctave/dMatrix.cc
--- octave.orig/liboctave/dMatrix.cc    Mon Feb  7 20:35:44 2000
+++ octave.2/liboctave/dMatrix.cc       Sat Sep  2 20:06:29 2000
@@ -31,6 +31,7 @@
 
 #include <cfloat>
 
+#include <functional>
 #include <iostream>
 
 #include "byte-swap.h"
@@ -49,6 +50,8 @@
 #include "mx-dm-m.h"
 #include "mx-inlines.cc"
 #include "oct-cmplx.h"
+#include "mx-reductions.h"
+
 
 // Fortran functions we call.
 
@@ -2173,225 +2176,16 @@
   return d;
 }
 
-ColumnVector
-Matrix::row_min (void) const
-{
-  Array<int> index;
-  return row_min (index);
-}
-
-ColumnVector
-Matrix::row_min (Array<int>& index) const
-{
-  ColumnVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nr);
-      index.resize (nr);
-
-      for (int i = 0; i < nr; i++)
-        {
-         int idx_j = 0;
-
-         double tmp_min = elem (i, idx_j);
-
-         if (xisnan (tmp_min))
-           idx_j = -1;
-         else
-           {
-             for (int j = 1; j < nc; j++)
-               {
-                 double tmp = elem (i, j);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_j = -1;
-                     break;
-                   }
-                 else if (tmp < tmp_min)
-                   {
-                     idx_j = j;
-                     tmp_min = tmp;
-                   }
-               }
-           }
-
-         result.elem (i) = (idx_j < 0) ? octave_NaN : tmp_min;
-         index.elem (i) = idx_j;
-        }
-    }
-
-  return result;
-}
-
-ColumnVector
-Matrix::row_max (void) const
-{
-  Array<int> index;
-  return row_max (index);
-}
-
-ColumnVector
-Matrix::row_max (Array<int>& index) const
-{
-  ColumnVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nr);
-      index.resize (nr);
-
-      for (int i = 0; i < nr; i++)
-        {
-         int idx_j = 0;
-
-         double tmp_max = elem (i, idx_j);
-
-         if (xisnan (tmp_max))
-           idx_j = -1;
-         else
-           {
-             for (int j = 1; j < nc; j++)
-               {
-                 double tmp = elem (i, j);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_j = -1;
-                     break;
-                   }
-                 else if (tmp > tmp_max)
-                   {
-                     idx_j = j;
-                     tmp_max = tmp;
-                   }
-               }
-           }
-
-         result.elem (i) = (idx_j < 0) ? octave_NaN : tmp_max;
-         index.elem (i) = idx_j;
-        }
-    }
-
-  return result;
-}
-
-RowVector
-Matrix::column_min (void) const
-{
-  Array<int> index;
-  return column_min (index);
-}
-
-RowVector
-Matrix::column_min (Array<int>& index) const
-{
-  RowVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nc);
-      index.resize (nc);
-
-      for (int j = 0; j < nc; j++)
-        {
-         int idx_i = 0;
-
-         double tmp_min = elem (idx_i, j);
-
-         if (xisnan (tmp_min))
-           idx_i = -1;
-         else
-           {
-             for (int i = 1; i < nr; i++)
-               {
-                 double tmp = elem (i, j);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_i = -1;
-                     break;
-                   }
-                 else if (tmp < tmp_min)
-                   {
-                     idx_i = i;
-                     tmp_min = tmp;
-                   }
-               }
-           }
-
-         result.elem (j) = (idx_i < 0) ? octave_NaN : tmp_min;
-         index.elem (j) = idx_i;
-        }
-    }
-
-  return result;
-}
-
-RowVector
-Matrix::column_max (void) const
-{
-  Array<int> index;
-  return column_max (index);
-}
-
-RowVector
-Matrix::column_max (Array<int>& index) const
-{
-  RowVector result;
-
-  int nr = rows ();
-  int nc = cols ();
-
-  if (nr > 0 && nc > 0)
-    {
-      result.resize (nc);
-      index.resize (nc);
-
-      for (int j = 0; j < nc; j++)
-        {
-         int idx_i = 0;
-
-         double tmp_max = elem (idx_i, j);
-
-         if (xisnan (tmp_max))
-           idx_i = -1;
-         else
-           {
-             for (int i = 1; i < nr; i++)
-               {
-                 double tmp = elem (i, j);
-
-                 if (xisnan (tmp))
-                   {
-                     idx_i = -1;
-                     break;
-                   }
-                 else if (tmp > tmp_max)
-                   {
-                     idx_i = i;
-                     tmp_max = tmp;
-                   }
-               }
-           }
-
-         result.elem (j) = (idx_i < 0) ? octave_NaN : tmp_max;
-         index.elem (j) = idx_i;
-        }
-    }
-
-  return result;
-}
+// Use definition macros from mx-reductions.h
+DEF_REDUCTION_HELPER(row, Matrix, Column, nr)
+DEF_REDUCTION_HELPER(column, Matrix, Row, nc)
+
+// Use definition macros from mx-reductions.h
+// Defines row_min, row_max, column_min, column_max
+DEF_COMP_OP(row, Matrix, Column, double, min, std::less<double>)
+DEF_COMP_OP(row, Matrix, Column, double, max, std::greater<double>)
+DEF_COMP_OP(column, Matrix, Row, double, min, std::less<double>)
+DEF_COMP_OP(column, Matrix, Row, double, max, std::greater<double>)
 
 std::ostream&
 operator << (std::ostream& os, const Matrix& a)
diff --new-file -r -u octave.orig/liboctave/dMatrix.h 
octave.2/liboctave/dMatrix.h
--- octave.orig/liboctave/dMatrix.h     Fri Jun 30 02:30:45 2000
+++ octave.2/liboctave/dMatrix.h        Sat Sep  2 20:15:12 2000
@@ -210,17 +210,21 @@
   ColumnVector diag (void) const;
   ColumnVector diag (int k) const;
 
-  ColumnVector row_min (void) const;
-  ColumnVector row_max (void) const;
+  ColumnVector row_min (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
+  ColumnVector row_max (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
 
-  ColumnVector row_min (Array<int>& index) const;
-  ColumnVector row_max (Array<int>& index) const;
+  ColumnVector row_min (Array<int>& index,
+                        bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
+  ColumnVector row_max (Array<int>& index,
+                        bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
 
-  RowVector column_min (void) const;
-  RowVector column_max (void) const;
+  RowVector column_min (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
+  RowVector column_max (bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
 
-  RowVector column_min (Array<int>& index) const;
-  RowVector column_max (Array<int>& index) const;
+  RowVector column_min (Array<int>& index,
+                        bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
+  RowVector column_max (Array<int>& index,
+                        bool ignore_nan = OCTAVE_IGNORE_NAN_DEFAULT) const;
 
   // i/o
 
diff --new-file -r -u octave.orig/liboctave/mx-defs.h 
octave.2/liboctave/mx-defs.h
--- octave.orig/liboctave/mx-defs.h     Mon Jan 31 20:06:17 2000
+++ octave.2/liboctave/mx-defs.h        Sat Sep  2 20:15:27 2000
@@ -23,6 +23,10 @@
 #if !defined (octave_mx_defs_h)
 #define octave_mx_defs_h 1
 
+// Behavioral defaults.
+
+#define OCTAVE_IGNORE_NAN_DEFAULT true
+
 // Classes we declare.
 
 class Matrix;
diff --new-file -r -u octave.orig/liboctave/mx-reductions.h 
octave.2/liboctave/mx-reductions.h
--- octave.orig/liboctave/mx-reductions.h       Wed Dec 31 16:00:00 1969
+++ octave.2/liboctave/mx-reductions.h  Sat Sep  2 20:09:08 2000
@@ -0,0 +1,246 @@
+/*
+
+Copyright (C) 2000 John W. Eaton
+
+This file is part of Octave.
+
+Octave is free software; you can redistribute it and/or modify it
+under the terms of the GNU General Public License as published by the
+Free Software Foundation; either version 2, or (at your option) any
+later version.
+
+Octave is distributed in the hope that it will be useful, but WITHOUT
+ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+for more details.
+
+You should have received a copy of the GNU General Public License
+along with Octave; see the file COPYING.  If not, write to the Free
+Software Foundation, 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
+
+*/
+
+/*
+  The template functions and macros are to help define reduction member
+  functions like Matrix::row_min.
+*/
+
+#if !defined (octave_mx_reductions_h)
+#define octave_mx_reductions_h 1
+
+#include "lo-mappers.h"
+#include "Array.h"
+#include "MArray2.h"
+
+/*
+  The do_over_{rows,columns} template functions wrap the iteration
+  order.  The ActionObj should define a 1-d reduction operation with
+  three function members:
+    * begin (value)
+        begin a row or column reduction (implied col/row inner_index 0)
+    * apply (inner_index, value)
+        accumulate value at col/row inner_index into the reduction
+    * end (outer_index)
+        finalize the reduction over row/col outer_index
+*/
+
+template <typename T, typename ActionObj>
+inline void
+do_over_rows (const MArray2<T>& A, ActionObj& obj)
+{
+  const int nc = A.cols();
+  const int nr = A.rows();
+
+  for (int i = 0; i < nr; ++i)
+    {
+      obj.begin(A.elem(i, 0));
+      for (int j = 1; j < nc; ++j)
+        {
+          obj.apply(j, A.elem(i, j));
+        }
+      obj.end(i);
+    }
+}
+
+template <typename T, typename ActionObj>
+inline void
+do_over_columns (const MArray2<T>& A, ActionObj& obj)
+{
+  const int nc = A.cols();
+  const int nr = A.rows();
+
+  for (int j = 0; j < nc; ++j)
+    {
+      obj.begin(A.elem(0, j));
+      for (int i = 1; i < nr; ++i)
+        {
+          obj.apply(i, A.elem(i, j));
+        }
+      obj.end(j);
+    }
+}
+
+/*
+  PredReducer satisfies the requirements for ActionObj above.  It
+  reduces by applying the predicate from template param. Pred.
+
+  PredReducer_NaN is similar, but NaNs are treated specially.  A
+  NaN value will induce an index of -1 and a value of NaN rather
+  than simply falling through the predicate.
+
+  In large matrices with fairly many Infs (or NaNs), it may be
+  faster to cause the do_over_* reduction loops to terminate
+  early.  The ActionObj could either return a coded value or
+  throw an exception for that effect.  Both choices render the
+  code even uglier, and so are avoided here.
+*/
+
+template <typename T, typename Pred>
+class PredReducer
+{
+public:
+  inline PredReducer (Array<T>& stored_val, Array<int>& stored_index,
+                      Pred pred = Pred())
+      : stored_val(stored_val), stored_index(stored_index), pred(pred)
+  { }
+    
+  inline void begin (T val)
+  {
+    tmp_val = val;
+    tmp_idx = 0;
+  }
+
+  inline void apply (int idx, T val)
+  {
+    if ( pred(val, tmp_val) || (xisnan (tmp_val) && !xisnan (val)) )
+      {
+       tmp_val = val;
+        tmp_idx = idx;
+      }
+  }
+
+  inline void end (int outer_idx)
+  {
+    stored_val.elem(outer_idx) = tmp_val;
+    stored_index.elem(outer_idx) = tmp_idx;
+  }
+
+private:
+    
+  Array<T>& stored_val;
+  Array<int>& stored_index;
+  Pred pred;
+    
+  T tmp_val;
+  int tmp_idx;
+};
+
+template <typename T, typename Pred>
+class PredReducer_NaN
+{
+public:
+  inline PredReducer_NaN (Array<T>& stored_val, Array<int>& stored_index,
+                          Pred pred = Pred())
+      : stored_val(stored_val), stored_index(stored_index), pred(pred)
+  { }
+    
+  inline void begin (T val)
+  {
+    tmp_val = val;
+    if (xisnan (val))
+      {
+        tmp_idx = -1;
+      }
+    else
+      {
+        tmp_idx = 0;
+      }
+  }
+
+  inline void apply (int idx, T val)
+  {
+    if (xisnan (val))
+      {
+        tmp_val = val;
+        tmp_idx = -1;
+        return;
+      }
+
+    // NaN should fail pred...
+    if (pred (val, tmp_val))
+      {
+        tmp_val = val;
+        tmp_idx = idx;
+      }
+  }
+
+  inline void end (int outer_idx)
+  {
+    stored_val.elem(outer_idx) = tmp_val;
+    stored_index.elem(outer_idx) = tmp_idx;
+  }
+
+private:
+    
+  Array<T>& stored_val;
+  Array<int>& stored_index;
+  Pred pred;
+    
+  T tmp_val;
+  int tmp_idx;
+};
+
+/*
+  DEF_REDUCTION_HELPER generates a simple, non-member helper function
+  that applies a predicate reducer to a matrix.
+
+  DEF_COMP_OP uses the DEF_REDUCTION_HELPER functions to define a
+  matrix type's min- and max-reduction members.
+
+  The non-uniformity between Matrix and ComplexMatrix seems to be
+  captured more easily through macros than templates.
+*/
+
+#define DEF_REDUCTION_HELPER(Side, MatType, VectorType, Size)   \
+/* GENERATED BY DEF_REDUCTION_HELPER */                         \
+template <typename PredReducer>                                 \
+static inline VectorType ## Vector                              \
+Side ## _reduction (const MatType& A, Array<int>& index)        \
+{                                                               \
+  VectorType ## Vector result;                                  \
+  const int nr = A.rows ();                                     \
+  const int nc = A.cols ();                                     \
+                                                                \
+  if (nr > 0 && nc > 0)                                         \
+    {                                                           \
+      result.resize (Size);                                     \
+      index.resize (Size);                                      \
+                                                                \
+      PredReducer pred (result, index);                         \
+      do_over_ ## Side ## s (A, pred);                          \
+    }                                                           \
+                                                                \
+  return result;                                                \
+}
+
+#define DEF_COMP_OP(Side, MatType, VectorType, Type, Op, Comp)          \
+/* GENERATED BY DEF_COMP_OP */                                          \
+VectorType ## Vector                                                    \
+MatType:: ## Side ## _ ## Op (bool ignore_nan) const                    \
+{                                                                       \
+  Array<int> index;                                                     \
+  return Side ## _ ## Op (index, ignore_nan);                           \
+}                                                                       \
+                                                                        \
+VectorType ## Vector                                                    \
+MatType:: ## Side ## _ ## Op (Array<int>& index, bool ignore_nan) const \
+{                                                                       \
+  if (ignore_nan)                                                       \
+    return Side ## _reduction< PredReducer<Type, Comp > >               \
+         (*this, index);                                                \
+  else                                                                  \
+    return Side ## _reduction< PredReducer_NaN<Type, Comp > >           \
+         (*this, index);                                                \
+}
+
+#endif
diff --new-file -r -u octave.orig/liboctave/oct-cmplx.h 
octave.2/liboctave/oct-cmplx.h
--- octave.orig/liboctave/oct-cmplx.h   Tue Feb  1 02:07:22 2000
+++ octave.2/liboctave/oct-cmplx.h      Sat Sep  2 20:06:29 2000
@@ -24,8 +24,29 @@
 #define octave_oct_cmplx_h 1
 
 #include <complex>
+#include <functional>
 
 typedef std::complex<double> Complex;
+
+struct ComplexLess 
+    : public std::binary_function<Complex, Complex, bool>
+{
+    bool operator() (const Complex& x, const Complex& y) const
+    {
+        return abs(x) < abs(y);
+    }
+};
+
+struct ComplexGreater
+    : public std::binary_function<Complex, Complex, bool>
+{
+    bool operator() (const Complex& x, const Complex& y) const
+    {
+        return abs(x) > abs(y);
+    }
+};
+
+
 
 #endif
 



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