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\documentclass{article}
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\usepackage{chessboard}
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\usepackage[LSBC4,T1]{fontenc}
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\let\clipbox\relax
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\usepackage{../style}
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\usepackage{disclaimer}
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\begin{document}
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\setchessboard{smallboard,
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zero,
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showmover=false,
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boardfontencoding=LSBC4,
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hlabelformat=\arabic{ranklabel},
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vlabelformat=\arabic{filelabel}}
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\mbox{}\\[-18mm]\mbox{}
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\section*{Coursework 7 (Scala, Knight's Tour)}
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This coursework is worth 10\%. It is about searching and
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backtracking. The first part is due on 23 November at 11pm; the
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second, more advanced part, is due on 21 December at 11pm. You are
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asked to implement Scala programs that solve various versions of the
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\textit{Knight's Tour Problem} on a chessboard. Note the second part
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might include material you have not yet seen in the first two
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lectures. \bigskip
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\IMPORTANT{}
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Also note that the running time of each part will be restricted to a
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maximum of 360 seconds on my laptop: If you calculate a result once,
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try to avoid to calculate the result again. Feel free to copy any code
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you need from files \texttt{knight1.scala}, \texttt{knight2.scala} and
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\texttt{knight3.scala}.
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\DISCLAIMER{}
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\subsection*{Background}
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The \textit{Knight's Tour Problem} is about finding a tour such that
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the knight visits every field on an $n\times n$ chessboard once. For
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example on a $5\times 5$ chessboard, a knight's tour is:
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\chessboard[maxfield=d4,
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pgfstyle= {[base,at={\pgfpoint{0pt}{-0.5ex}}]text},
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text = \small 24, markfield=Z4,
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text = \small 11, markfield=a4,
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text = \small 6, markfield=b4,
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text = \small 17, markfield=c4,
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text = \small 0, markfield=d4,
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text = \small 19, markfield=Z3,
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text = \small 16, markfield=a3,
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text = \small 23, markfield=b3,
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text = \small 12, markfield=c3,
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text = \small 7, markfield=d3,
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text = \small 10, markfield=Z2,
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text = \small 5, markfield=a2,
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text = \small 18, markfield=b2,
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text = \small 1, markfield=c2,
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text = \small 22, markfield=d2,
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text = \small 15, markfield=Z1,
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text = \small 20, markfield=a1,
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text = \small 3, markfield=b1,
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text = \small 8, markfield=c1,
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text = \small 13, markfield=d1,
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text = \small 4, markfield=Z0,
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text = \small 9, markfield=a0,
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text = \small 14, markfield=b0,
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text = \small 21, markfield=c0,
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text = \small 2, markfield=d0
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]
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\noindent
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The tour starts in the right-upper corner, then moves to field
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$(3,2)$, then $(4,0)$ and so on. There are no knight's tours on
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$2\times 2$, $3\times 3$ and $4\times 4$ chessboards, but for every
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bigger board there is.
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A knight's tour is called \emph{closed}, if the last step in the tour
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is within a knight's move to the beginning of the tour. So the above
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knight's tour is \underline{not} closed because the last
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step on field $(0, 4)$ is not within the reach of the first step on
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$(4, 4)$. It turns out there is no closed knight's tour on a $5\times
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5$ board. But there are on a $6\times 6$ board and on bigger ones, for
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example
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\chessboard[maxfield=e5,
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pgfstyle={[base,at={\pgfpoint{0pt}{-0.5ex}}]text},
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text = \small 10, markfield=Z5,
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text = \small 5, markfield=a5,
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text = \small 18, markfield=b5,
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text = \small 25, markfield=c5,
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text = \small 16, markfield=d5,
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text = \small 7, markfield=e5,
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text = \small 31, markfield=Z4,
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text = \small 26, markfield=a4,
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text = \small 9, markfield=b4,
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text = \small 6, markfield=c4,
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text = \small 19, markfield=d4,
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text = \small 24, markfield=e4,
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% 4 11 30 17 8 15
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text = \small 4, markfield=Z3,
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text = \small 11, markfield=a3,
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text = \small 30, markfield=b3,
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text = \small 17, markfield=c3,
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text = \small 8, markfield=d3,
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text = \small 15, markfield=e3,
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%29 32 27 0 23 20
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text = \small 29, markfield=Z2,
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text = \small 32, markfield=a2,
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text = \small 27, markfield=b2,
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text = \small 0, markfield=c2,
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text = \small 23, markfield=d2,
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text = \small 20, markfield=e2,
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%12 3 34 21 14 1
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text = \small 12, markfield=Z1,
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text = \small 3, markfield=a1,
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text = \small 34, markfield=b1,
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text = \small 21, markfield=c1,
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text = \small 14, markfield=d1,
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text = \small 1, markfield=e1,
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%33 28 13 2 35 22
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text = \small 33, markfield=Z0,
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text = \small 28, markfield=a0,
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text = \small 13, markfield=b0,
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text = \small 2, markfield=c0,
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text = \small 35, markfield=d0,
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text = \small 22, markfield=e0,
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vlabel=false,
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hlabel=false
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]
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\noindent
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where the 35th move can join up again with the 0th move.
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If you cannot remember how a knight moves in chess, or never played
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chess, below are all potential moves indicated for two knights, one on
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field $(2, 2)$ (blue moves) and another on $(7, 7)$ (red moves):
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\chessboard[maxfield=g7,
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color=blue!50,
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linewidth=0.2em,
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shortenstart=0.5ex,
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shortenend=0.5ex,
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markstyle=cross,
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markfields={a4, c4, Z3, d3, Z1, d1, a0, c0},
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color=red!50,
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markfields={f5, e6},
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setpieces={Ng7, Nb2}]
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\subsection*{Part 1 (7 Marks)}
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You are asked to implement the knight's tour problem such that the
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dimension of the board can be changed. Therefore most functions will
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take the dimension of the board as an argument. The fun with this
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Christian Urban <christian dot urban at kcl dot ac dot uk>
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changeset
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problem is that even for small chessboard dimensions it has already an
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Christian Urban <christian dot urban at kcl dot ac dot uk>
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changeset
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incredibly large search space---finding a tour is like finding a
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needle in a haystack. In the first task we want to see how far we get
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with exhaustively exploring the complete search space for small
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chessboards.\medskip
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\noindent
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Let us first fix the basic datastructures for the implementation. The
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Christian Urban <christian dot urban at kcl dot ac dot uk>
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changeset
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board dimension is an integer (we will never go beyond board sizes of
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$40 \times 40$). A \emph{position} (or field) on the chessboard is
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a pair of integers, like $(0, 0)$. A \emph{path} is a list of
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positions. The first (or 0th move) in a path is the last element in
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this list; and the last move in the path is the first element. For
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example the path for the $5\times 5$ chessboard above is represented
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by
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\[
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\texttt{List($\underbrace{\texttt{(0, 4)}}_{24}$,
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$\underbrace{\texttt{(2, 3)}}_{23}$, ...,
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$\underbrace{\texttt{(3, 2)}}_1$, $\underbrace{\texttt{(4, 4)}}_0$)}
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\]
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\noindent
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Suppose the dimension of a chessboard is $n$, then a path is a
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\emph{tour} if the length of the path is $n \times n$, each element
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occurs only once in the path, and each move follows the rules of how a
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knight moves (see above for the rules).
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\subsubsection*{Tasks (file knight1.scala)}
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\begin{itemize}
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\item[(1a)] Implement an \texttt{is\_legal\_move} function that takes a
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dimension, a path and a position as arguments and tests whether the
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position is inside the board and not yet element in the
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path. \hfill[1 Mark]
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\item[(1b)] Implement a \texttt{legal\_moves} function that calculates for a
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position all legal onward moves. If the onward moves are
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placed on a circle, you should produce them starting from
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``12-o'clock'' following in clockwise order. For example on an
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$8\times 8$ board for a knight at position $(2, 2)$ and otherwise
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empty board, the legal-moves function should produce the onward
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positions in this order:
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\begin{center}
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\texttt{List((3,4), (4,3), (4,1), (3,0), (1,0), (0,1), (0,3), (1,4))}
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\end{center}
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If the board is not empty, then maybe some of the moves need to be
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filtered out from this list. For a knight on field $(7, 7)$ and an
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empty board, the legal moves are
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\begin{center}
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\texttt{List((6,5), (5,6))}
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\end{center}
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\mbox{}\hfill[1 Mark]
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\item[(1c)] Implement two recursive functions (\texttt{count\_tours} and
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\texttt{enum\_tours}). They each take a dimension and a path as
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arguments. They exhaustively search for tours starting
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from the given path. The first function counts all possible
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tours (there can be none for certain board sizes) and the second
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collects all tours in a list of paths.\hfill[2 Marks]
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\end{itemize}
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\noindent \textbf{Test data:} For the marking, the functions in (1c)
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will be called with board sizes up to $5 \times 5$. If you search
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for tours on a $5 \times 5$ board starting only from field $(0, 0)$,
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there are 304 of tours. If you try out every field of a $5 \times
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5$-board as a starting field and add up all tours, you obtain
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1728. A $6\times 6$ board is already too large to be searched
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exhaustively.\footnote{For your interest, the number of tours on
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$6\times 6$, $7\times 7$ and $8\times 8$ are 6637920, 165575218320,
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19591828170979904, respectively.}\bigskip
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\noindent
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\textbf{Hints:} useful list functions: \texttt{.contains(..)} checks
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whether an element is in a list, \texttt{.flatten} turns a list of
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lists into just a list, \texttt{\_::\_} puts an element on the head of
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the list, \texttt{.head} gives you the first element of a list (make
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sure the list is not \texttt{Nil}).
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\subsubsection*{Tasks (file knight2.scala)}
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\begin{itemize}
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\item[(2a)] Implement a \texttt{first}-function. This function takes a list of
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positions and a function $f$ as arguments; $f$ is the name we give to
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this argument). The function $f$ takes a position as argument and
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produces an optional path. So $f$'s type is \texttt{Pos =>
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Option[Path]}. The idea behind the \texttt{first}-function is as follows:
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\[
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\begin{array}{lcl}
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\textit{first}(\texttt{Nil}, f) & \dn & \texttt{None}\\
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\textit{first}(x\!::\!xs, f) & \dn & \begin{cases}
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f(x) & \textit{if}\;f(x) \not=\texttt{None}\\
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\textit{first}(xs, f) & \textit{otherwise}\\
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\end{cases}
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\end{array}
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\]
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\noindent That is, we want to find the first position where the
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result of $f$ is not \texttt{None}, if there is one. Note that
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`inside' \texttt{first}, you do not (need to) know anything about
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the argument $f$ except its type, namely \texttt{Pos =>
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Option[Path]}. There is one additional point however you should
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take into account when implementing \texttt{first}: you will need to
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calculate what the result of $f(x)$ is; your code should do this
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only \textbf{once} and for as \textbf{few} elements in the list as
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possible! Do not calculate $f(x)$ for all elements and then see which
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is the first \texttt{Some}.\\\mbox{}\hfill[1 Mark]
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\item[(2b)] Implement a \texttt{first\_tour} function that uses the
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\texttt{first}-function from (2a), and searches recursively for a tour.
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As there might not be such a tour at all, the \texttt{first\_tour} function
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needs to return a value of type
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\texttt{Option[Path]}.\\\mbox{}\hfill[2 Marks]
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\end{itemize}
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\noindent
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\textbf{Testing:} The \texttt{first\_tour} function will be called with board
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sizes of up to $8 \times 8$.
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\bigskip
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\noindent
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\textbf{Hints:} a useful list function: \texttt{.filter(..)} filters a
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list according to a boolean function; a useful option function:
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\texttt{.isDefined} returns true, if an option is \texttt{Some(..)};
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anonymous functions can be constructed using \texttt{(x:Int) => ...},
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this functions takes an \texttt{Int} as an argument.
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%%\newpage
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\subsection*{Part 2 (3 Marks)}
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As you should have seen in Part 1, a naive search for tours beyond
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$8 \times 8$ boards and also searching for closed tours even on small
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boards takes too much time. There is a heuristic, called \emph{Warnsdorf's
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Rule} that can speed up finding a tour. This heuristic states that a
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knight is moved so that it always proceeds to the field from which the
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knight will have the \underline{fewest} onward moves. For example for
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a knight on field $(1, 3)$, the field $(0, 1)$ has the fewest possible
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onward moves, namely 2.
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\chessboard[maxfield=g7,
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pgfstyle= {[base,at={\pgfpoint{0pt}{-0.5ex}}]text},
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text = \small 3, markfield=Z5,
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text = \small 7, markfield=b5,
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text = \small 7, markfield=c4,
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text = \small 7, markfield=c2,
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text = \small 5, markfield=b1,
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text = \small 2, markfield=Z1,
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setpieces={Na3}]
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\noindent
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Warnsdorf's Rule states that the moves on the board above should be
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tried in the order
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\[
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(0, 1), (0, 5), (2, 1), (2, 5), (3, 4), (3, 2)
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\]
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\noindent
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Christian Urban <christian dot urban at kcl dot ac dot uk>
diff
changeset
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Whenever there are ties, the corresponding onward moves can be in any
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order. When calculating the number of onward moves for each field, we
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do not count moves that revisit any field already visited.
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\subsubsection*{Tasks (file knight3.scala)}
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\begin{itemize}
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\item[(3a)] Write a function \texttt{ordered\_moves} that calculates a list of
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onward moves like in (1b) but orders them according to the
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Warnsdorf’s Rule. That means moves with the fewest legal onward moves
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should come first (in order to be tried out first). \hfill[1 Mark]
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\item[(3b)] Implement a \texttt{first\_closed-tour\_heuristic}
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function that searches for a
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\textbf{closed} tour on a $6\times 6$ board. It should use the
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\texttt{first}-function from (2a) and tries out onward moves according to
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the \texttt{ordered\_moves} function from (3a). It is more likely to find
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a solution when started in the middle of the board (that is
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position $(dimension / 2, dimension / 2)$). \hfill[1 Mark]
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\item[(3c)] Implement a \texttt{first\_tour\_heuristic} function
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for boards up to
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$40\times 40$. It is the same function as in (3b) but searches for
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tours (not just closed tours). You have to be careful to write a
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tail-recursive function of the \texttt{first\_tour\_heuristic} function
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otherwise you will get problems with stack-overflows.\\
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\mbox{}\hfill[1 Mark]
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\end{itemize}
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\bigskip
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\noindent
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\textbf{Hints:} a useful list function: \texttt{.sortBy} sorts a list
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according to a component given by the function; a function can be
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tested to be tail recursive by annotation \texttt{@tailrec}, which is
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made available by importing \texttt{scala.annotation.tailrec}.
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6
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\end{document}
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%%% Local Variables:
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%%% mode: latex
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%%% TeX-master: t
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%%% End:
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