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It finds a Longuest Ascending Sequence in O(N log N). The sequence it happens to find is the first sequence when sorted numerically.

I implemented a variant of this that will find all longest increasing sequences in the list.

use List::Util qw(shuffle); # $iter=LAS_iter($deck,$as_index,$verbose); # # Take a list of numbers (duplicates allowed) and returns an # iterator over all of Longest Ascending Sequences it contains. # @$deck is the list of numbers, $as_index controls whether # the iterator returns indexes into the deck, or copies of the # relevent values. If $verbose is true then outputs some trace # information as it runs. # # The behaviour is undefined if you change the contents of @$deck # before the iterator is exhausted. # # The iter returns a list of the next LAS, or an empty list to # indicate all the LAS have been returned. # sub LAS_iter { my ( $deck, $as_idx )= @_; # # Patience sort a list held in @$deck in worst case N log N time. # my ( @top, # len-1: val @topidx, # len-1: id @leng, # id : len @pred, # idx : idy @equal # idx : idy ); # # @top and @topidx represent the topmost card in patience sorting. # # Patience sorting is the process where for each card you find the # leftmost pile whose top card is higher than one chosen. If no # such pile exists form a new pile to the right. # This algorithm simulates such a process with the # slight exception that a card can be played on top # if it equals the one already there. # # Only one of @top and @topidx are necessary, we maintain both # so that we can know the indexes into the deck and avoid lots of # lookups into the deck while we are searching. # # From the information in the @topidx array we can build three # other arrays @leng, @pred and @equal, which eventually will # contain an entry for every value in the @$deck. # # $leng[$idx] is the length of the longest asc seq ending in # $deck->[$idx]. This means $leng[$idx] is the pile number # (1 indexed). # # $pred[$x] is the greatest index $y smaller than $x such that # $leng[$y]==$leng[$x]-1. If no such index exists then it is # undef. This means $pred[$x] is the top card to the left of # where we play our current card and that all cards in the first # pile have no @pred entry. # # $equal[$x] is the greatest index $y smaller than $x such that # $leng[$y]==$leng[$x]. If no such index exists then it is undef. # This means $equal[$idx] is the card we cover when we play, # when starting a new pile the card has no @equal entry. # # With this information we can efficiently build not only the # minimum longest ascending sequence, we can build every # ascending sequence in the @$deck (should we choose to do so) # # Also interestingly enough @leng alone would suffice for this # purpose as we can easily recreate @pred and @equal (as well as # @top and @topidx) from it, and in O(N) time. # # presize the arrays. foreach ( \@leng, \@pred, \@equal ) { $#$_= $#$deck; # alloc $#$_= -1; # hide } # initialize with the first card $leng[0]= 1; $topidx[0]= 0; $top[0]= $deck->[0]; # loop over the rest of the deck foreach my $idx ( 1 .. $#$deck ) { my $card= $deck->[$idx]; # binsearch for where in the piles our card should go my ( $low, $mid, $high )= ( 0, 0, $#top ); my $midtop; while ( $low <= $high ) { $mid= int( ( $low + $high ) / 2 ); $midtop=$top[$mid]; if ( $midtop < $card ) { $low= $mid + 1; } elsif ( $card < $midtop ) { $high= $mid - 1; } else { last; } } # $mid will be where our card should go (in the case of dupes) # or the card preceding where we should go (ie, it would==high # if the $card was higher than everything else). $mid++ if $card > $midtop; $leng[$idx]= $mid + 1; # @leng is one based $equal[$idx]= $topidx[$mid]; # the old top is our equal. $pred[$idx]= $topidx[ $mid - 1 ] # the top to our left is our if $mid; # predecessor, if it exists. $topidx[$mid]= $idx; # And now we put our card on the $top[$mid]= $deck->[$idx]; # top of the appropriate pile. } # # Return a closure as an iterator that does a depth first walk # through all of the LAS'es in @$deck. We return the MLAS first. # # The process is to fill the @out array from the right, starting # at the end of the rightmost longest ascending sequence in the # deck (which will be the MLAS). When we run out of predecessors # the @out array contains a completed LAS and can return it. # # We maintain our own stack. As we go left using @pred we push # possible alternate continuations as specified by @equal into # the stack. # # We can rely on the fact that if $equal[$x]==$y then $y < $x and # also $deck->[$y] >= $deck->[$x], and therefore we can prune the # traverse of the equal list by not pushing when using the equal # would not result in an ascending sequence. # my $bestlen= @topidx-1; my @stack= ( $topidx[-1] ); my @out; # vals my @outidx; # idxs return sub { STACK: while ( @stack ) { my $cur= pop @stack; while ( defined $cur ) { my $card= $deck->[$cur]; # $len is 1 based but out is 0 based, # meaning $outv takes the val to right # of the current one. my $len= $leng[$cur]; # the -- below is to convert $len to a 0 based number # its postdec because we want the next value from # the one that $len points at. my $nextcard= $out[$len--]; if ( $len == $bestlen || $card < $nextcard ) { $out[ $len ]= $card; $outidx[ $len ]= $cur; } else { next STACK; } my $eql= $equal[$cur]; push @stack, $eql if defined $eql && ( $len == $bestlen || $deck->[$eql] < $nextcard ); $cur= $pred[$cur]; } return $as_idx ? @outidx : @out; } return () # empty list, no return }; } my @list=shuffle shuffle(1..52); my $iter= LAS_iter( \@list,'as_idx' ); while ( my @lis= $iter->() ) { print "@list[@lis]\n"; }

It returns an iterator over all of the LAS'es in the list. The code contains an explanation of how it works.


In reply to Re^2: Puzzle: Longest Increasing Sequence by demerphq
in thread Puzzle: Longest Increasing Sequence by TedPride

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