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Dancing Links and N k Queens Funded by: Kentucky NSF EPSCoR: UKRF 304688440007419

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Title: Dancing Links and N k Queens Funded by: Kentucky NSF EPSCoR: UKRF 304688440007419


1
Dancing Links and N k QueensFunded by
Kentucky NSF EPSCoR UKRF 3046884400-07-419
John Miller (millerj10_at_nku.edu) Dr. Doug
Chatham Dr. Maureen Doyle Dr. Jeffrey Ward Amber
Rogers Luke Thompson
2
Agenda
  • N Queens Problem
  • Dancing Links
  • N k Queens Problem
  • Finding Solutions
  • Results
  • Future Work

3
The N Queens Problem
  • First proposed by Max Bezzel in 1848 as the 8
    Queens Problem.
  • The problem has been investigated by
    mathematicians since its inception, including
    Gauss and Cantor
  • After solutions were found in 1850 by Franz Nauk,
    it was expanded to the N Queens Problem

4
The N Queens Problem
  • How many ways can n Queens on an n x n chessboard
    so that no queen can attack another queen
  • Commonly used to introduce recursion

5
What are Dancing Links?
  • Dancing Links is a data structure that can be
    used to help solve any full cover problem.
  • N k Queens
  • Sudoku
  • Introduced in 1979 by Hitotumatu and Noshita .
  • Popularized by Knuth in 2000

6
The Dancing Links Universe
Things get complicated very quickly For an n x n
chessboard, the universe will have 6n-2 columns
and 4n26n-1 nodes
7
The Dance Steps
solve( int x ) if ( x n) solution found
return choose a row r for placing
queen remove row r for every block b in row
r place queen on block b remove bs
column remove bs diagonals solve(x1) repla
ce bs diagonals replace bs
column replace row r
8
Results
  • N Queens Standard Backtracking vs. Dancing
  • Links (DLX)

9
N k Queens Problem
  • Consider a chessboard where we have blocked k
    squares. This is equivalent to placing a pawn on
    this square. The pawns are unable to attack by
    default.

This problem was first proposed in 1995 by
Michael Anshel.
10
N k Queens Problem
  • We have shown that there exist integers n and k
    such that we can safely place nk queens and k
    pawns on an n x n chessboard
  • For each positive integer k and N gt max87 k,
    25k
  • Also, no more than n k queens can safely be
    placed on an n x n chessboard with k pawns.

11
Approach to Solving N k Queens
  • How do we take advantage of the universe with the
    pawns.
  • Look at all pawn positions and split the
    universe.
  • Can we mimic the process of removing and
    replacing portions of the universe?

12
Splitting Pawns
  • Before finding Solutions, we must split the
    universe based on the positions of the pawns

Given a block b to place a pawn Create a new
header block Move everything below b into the
group Remove b from its group
13
Splitting Pawns
Before Split
After Split
Head
Head
New Head
X
X
Y
Pawn
Pawn
Y
Notice Pawn has nothing pointing to it, but It is
still pointing to its former up and down nodes
14
Reducing Search Space
  • We have shown the following
  • In order to place n k queens and k pawns on an
    n x n board
  • No two pawns may share an edge
  • No pawn may be placed on the outer edge of the
    board
  • No pawn may be positioned on a square adjacent to
    a corner square.

15
How fast is it on n k Queens?
Results obtained on Dual Core 64-bit Athlon
Processor, running red hat v4
16
How Fast is it? (cont.)
  • For some small values of n and k, the cost of
    creating the universe outweighs the benefit.
  • For large value of and k, the speedup of DLX is
    invaluable.

17
Parallel Results
  • Approach to implementing with MPI

Current results indicate a 30 speedup on a 16
node cluster We are investigating other
approaches to achieve a More appropriate speedup
18
Whats Next?
  • Logic Programming
  • Learning when we reach a dead end
  • 3D Queens
  • Can the DLX universe be extended to a 3D full
    cover problem
  • Theoretical Chess Pieces
  • Extending movement beyond straight lines

19
References
1 CHATHAM, R. D., DOYLE, M, FRICKE, G.H.,
SKAGGS, R.D., AND WOLFF, M. Separating queens
on the chessboard 2 KNUTH D.E. Dancing links.
Millennial Perspectives in Computer Science.
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