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File: [local] / OpenXM_contrib / PHC / Ada / Math_Lib / Supports / dictionaries.adb (download)

Revision 1.1.1.1 (vendor branch), Sun Oct 29 17:45:27 2000 UTC (23 years, 8 months ago) by maekawa
Branch: PHC, MAIN
CVS Tags: v2, maekawa-ipv6, RELEASE_1_2_3, RELEASE_1_2_2_KNOPPIX_b, RELEASE_1_2_2_KNOPPIX, RELEASE_1_2_2, RELEASE_1_2_1, HEAD
Changes since 1.1: +0 -0 lines

Import the second public release of PHCpack.

OKed by Jan Verschelde.

package body Dictionaries is

-- INITIALIZERS :

  procedure Init_Basis
               ( in_bas,out_bas : in out Standard_Integer_Vectors.Vector ) is

    n : constant natural := out_bas'last;

  begin
    for i in in_bas'range loop
      in_bas(i) := n+i;              -- slack variable for ith constraint
    end loop;
    for i in out_bas'range loop
      out_bas(i) := i;
    end loop;
  end Init_Basis;

  function Init_Primal_Dictionary
               ( c : Standard_Floating_Vectors.Vector; a : Matrix )
               return Matrix is

    dic : Matrix(0..a'last(1),a'range(2));

  begin
    for i in c'range loop
      dic(0,i) := -c(i);
    end loop;
    for i in a'range(1) loop
      for j in a'range(2) loop
	dic(i,j) := a(i,j);
      end loop;
    end loop;
    return dic;
  end Init_Primal_Dictionary;

  function Init_Dual_Dictionary
              ( c : Standard_Floating_Vectors.Vector; a : Matrix )
              return Matrix is

    dic :  Matrix(0..a'last(1),a'range(2));

  begin
    for i in c'range loop
      dic(0,i) := -c(i);
    end loop;
    for i in a'range(1) loop
      for j in a'range(2) loop
        dic(i,j) := -a(i,j);
      end loop;
    end loop;
    return dic;
  end Init_Dual_Dictionary;

  procedure Primal_Init
               ( c : in Standard_Floating_Vectors.Vector;
                 a : in Matrix; dic : out Matrix;
                 in_bas,out_bas : in out Standard_Integer_Vectors.Vector ) is
  begin
    dic := Init_Primal_Dictionary(c,a);
    Init_Basis(in_bas,out_bas);
  end Primal_Init;

  procedure Dual_Init
               ( c : in Standard_Floating_Vectors.Vector;
                 a : in Matrix; dic : out Matrix;
                 in_bas,out_bas : in out Standard_Integer_Vectors.Vector ) is
  begin
    dic := Init_Dual_Dictionary(c,a);
    Init_Basis(in_bas,out_bas);
  end Dual_Init;

-- MODIFIERS :

  procedure Primal_Update
               ( dic : in out Matrix;
                 in_bas,out_bas : in out Standard_Integer_Vectors.Vector;
                 eps : in double_float; unbounded : out boolean ) is

    column_index : natural := 0;
    min : double_float := 0.0;
    row_index : natural := 0;
    temp : double_float;
    tmp : integer;

  begin
    for i in (dic'first(2)+1)..dic'last(2) loop       -- which unknown enters?
      if dic(0,i) < min
       then min := dic(0,i); column_index := i;
      end if;
    end loop;
    if column_index /= 0                    -- otherwise optimality is reached
     then 
       for i in (dic'first(1)+1)..dic'last(1) loop    -- which unknown leaves?
         temp := dic(i,column_index);
         if abs(temp) > eps
          then temp := dic(i,0)/temp;
               if temp > 0.0
                then if row_index = 0
                      then row_index := i; min := temp;
                      elsif temp < min
                          then row_index := i; min := temp;
                     end if;
               end if;
         end if;
       end loop;
       if row_index = 0                               -- solution is unbounded
        then 
          unbounded := true;
        else
          unbounded := false;
          temp := dic(row_index,column_index);                        -- pivot
          for j in dic'range(2) loop                       -- divide pivot row
            dic(row_index,j) := dic(row_index,j) / temp;
          end loop;
          for i in dic'range(1) loop -- update other rows, except pivot column
            if i /= row_index
             then
               for j in dic'range(2) loop
                 if j /= column_index
                  then
                    dic(i,j) := dic(i,j)-dic(row_index,j)*dic(i,column_index);
                 end if;
               end loop;
            end if;
          end loop;
          for i in dic'range(1) loop                    -- update pivot column
            if i = row_index
             then dic(i,column_index) := 1.0 / temp;
             else dic(i,column_index) := - dic(i,column_index) / temp;
            end if;
          end loop;
          tmp := in_bas(row_index);                -- update basis information
          in_bas(row_index) := out_bas(column_index);
          out_bas(column_index) := tmp;
       end if;
    end if;
  end Primal_Update;

  procedure Dual_Update
                ( dic : in out Matrix;
                  in_bas,out_bas : in out Standard_Integer_Vectors.Vector;
                  eps : in double_float; feasible : out boolean ) is

    column_index : natural := 0;
    min : double_float := 0.0;
    row_index : natural := 0;
    temp : double_float;
    tmp : integer;

  begin
    for i in (dic'first(1)+1)..dic'last(1) loop       -- which unknown leaves?
      if dic(i,0) < min
       then min := dic(i,0); row_index := i;
      end if;
    end loop;
    if row_index /= 0                       -- otherwise optimality is reached
     then
       for i in (dic'first(2)+1)..dic'last(2) loop    -- which unknown enters?
         temp := dic(row_index,i);
         if abs(temp) > eps and then (temp < 0.0)
          then temp := dic(0,i)/temp;
               if column_index = 0
                then column_index := i; min := temp;
                elsif temp < min
                    then column_index := i; min := temp;
               end if;
         end if;
       end loop;
       if column_index = 0                           -- problem is infeasible
        then
          feasible := false;
        else
          feasible := true;
          temp := dic(row_index,column_index);                       -- pivot
          for j in dic'range(2) loop                      -- divide pivot row
            dic(row_index,j) := dic(row_index,j) / temp;
          end loop;
          for i in dic'range(1) loop -- update other rows, except pivot column
            if i /= row_index
             then 
               for j in dic'range(2) loop
   	         if j /= column_index
	          then
                    dic(i,j) := dic(i,j)-dic(row_index,j)*dic(i,column_index);
                 end if;
               end loop;
            end if;
          end loop;
          for i in dic'range(1) loop                -- update the pivot column
            if i = row_index
             then dic(i,column_index) := 1.0 / temp;
             else dic(i,column_index) := - dic(i,column_index) / temp;
            end if;
          end loop;
          tmp := in_bas(row_index);            -- update the basis information
          in_bas(row_index) := out_bas(column_index);
          out_bas(column_index) := tmp;
       end if;
    end if;
  end Dual_Update;

-- SELECTORS :

  function Primal_Optimal ( dic : Matrix; eps : double_float ) return boolean is
  begin
    for i in (dic'first(2)+1)..dic'last(2) loop
      if abs(dic(0,i)) > eps
       then if dic(0,i) < 0.0
	     then return false;
            end if;
      end if;
    end loop;
    return true;
  end Primal_Optimal;

  function Dual_Optimal ( dic : Matrix; eps : double_float ) return boolean is
  begin
    for i in (dic'first(1)+1)..dic'last(1) loop
      if abs(dic(i,0)) > eps
       then if dic(i,0) < 0.0
             then return false;
	    end if;
      end if;
    end loop;
    return true;
  end Dual_Optimal;

  function Optimum ( dic : Matrix ) return double_float is
  begin
    return dic(dic'first(1),dic'first(2));
  end Optimum;

  function Primal_Solution 
                  ( dic : Matrix;
                    in_bas,out_bas : Standard_Integer_Vectors.Vector)
                  return Standard_Floating_Vectors.Vector is

    res : Standard_Floating_Vectors.Vector((dic'first(2)+1)..dic'last(2));
    n : constant natural := dic'last(2);

  begin
    for i in in_bas'range loop
      if in_bas(i) <= n
       then res(in_bas(i)) := dic(i,0);
      end if;
    end loop;
    for i in out_bas'range loop
      if out_bas(i) <= n
       then res(out_bas(i)) := 0.0;
      end if;
    end loop;
    return res;
  end Primal_Solution;

  function Dual_Solution 
                ( dic : Matrix;
                  in_bas,out_bas : Standard_Integer_Vectors.Vector)
                return Standard_Floating_Vectors.Vector is

    res : Standard_Floating_Vectors.Vector((dic'first(1)+1)..dic'last(1));
    n : constant natural := dic'last(2);

  begin
    for i in in_bas'range loop
      if in_bas(i) > n
       then res(in_bas(i)-n) := dic(i,0);
      end if;
    end loop;
    for i in out_bas'range loop
      if out_bas(i) > n
       then res(out_bas(i)-n) := dic(0,i);
      end if;
    end loop;
    return res;
  end Dual_Solution;

end Dictionaries;