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1996-09-28
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5KB
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123 lines
------------------------------------------------------------------------------
-- --
-- GNAT RUNTIME COMPONENTS --
-- --
-- G N A T . H E A P _ S O R T _ G --
-- --
-- B o d y --
-- --
-- $Revision: 1.1 $ --
-- --
-- Copyright (c) 1995 NYU, All Rights Reserved --
-- --
-- The GNAT library is free software; you can redistribute it and/or modify --
-- it under terms of the GNU Library General Public License as published by --
-- the Free Software Foundation; either version 2, or (at your option) any --
-- later version. The GNAT library 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 --
-- Library General Public License for more details. You should have --
-- received a copy of the GNU Library General Public License along with --
-- the GNAT library; see the file COPYING.LIB. If not, write to the Free --
-- Free Software Foundation, 675 Mass Ave, Cambridge, MA 02139, USA. --
-- --
------------------------------------------------------------------------------
package body GNAT.Heap_Sort_G is
----------
-- Sort --
----------
-- We are using the classical heapsort algorithm (i.e. Floyd's Treesort3)
-- as described by Knuth (ref???) with the modification that is mentioned
-- in excercise ???. For more details on this algorithm, see Robert B. K.
-- Dewar PhD thesis "The use of Computers in the X-ray Phase Problem".
-- University of Chicago, 1968.
procedure Sort (N : Positive) is
Max : Positive := N;
-- Current Max index in tree being sifted
procedure Sift (S : Positive);
-- This procedure sifts up node S, i.e. converts the subtree rooted
-- at node S into a heap, given the precondition that any sons of
-- S are already heaps. On entry, the contents of node S is found
-- in the temporary (index 0), the actual contents of node S on
-- entry are irrelevant. This is just a minor optimization to avoid
-- what would otherwise be two junk moves in phase two of the sort.
procedure Sift (S : Positive) is
C : Positive := S;
Son : Positive;
Father : Positive;
begin
-- This is where the optimization is done, normally we would do a
-- comparison at each stage between the current node and the larger
-- of the two sons, and continue the sift only if the current node
-- was less than this maximum. In this modified optimized version,
-- we assume that the current node will be less than the larger
-- son, and unconditionally sift up. Then when we get to the bottom
-- of the tree, we check parents to make sure that we did not make
-- a mistake. This roughly cuts the number of comparisions in half,
-- since it is almost always the case that our assumption is correct.
-- Loop to pull up larger sons
loop
Son := 2 * C;
exit when Son > Max;
if Son < Max and then Lt (Son, Son + 1) then
Son := Son + 1;
end if;
Move (Son, C);
C := Son;
end loop;
-- Loop to check fathers
while C /= S loop
Father := C / 2;
if Lt (Father, 0) then
Move (Father, C);
C := Father;
else
exit;
end if;
end loop;
-- Last step is to pop the sifted node into place
Move (0, C);
end Sift;
-- Start of processing for Sort
begin
-- Phase one of heapsort is to build the heap. This is done by
-- sifting nodes N/2 .. 1 in sequence.
for J in reverse 1 .. N / 2 loop
Move (J, 0);
Sift (J);
end loop;
-- In phase 2, we sift node 1 repeatedly, so that it is the largest
-- node in the remaining heap, and then exchange it with the last node.
while Max > 1 loop
Sift (1);
Move (Max, 0);
Move (1, Max);
Max := Max - 1;
end loop;
end Sort;
end GNAT.Heap_Sort_G;