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Ingy döt Net 2023-07-01 11:58:00 -04:00
parent 7387c8f97b
commit cb5bb5e222
199093 changed files with 3378972 additions and 0 deletions

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greatest_subsequential_sum_it([]) = [] => true.
greatest_subsequential_sum_it(A) = Seq =>
P = allcomb(A),
Total = max([Tot : Tot=_T in P]),
Seq1 = [],
if Total > 0 then
[B,E] = P.get(Total),
Seq1 := [A[I] : I in B..E]
else
Seq1 := []
end,
Seq = Seq1.
allcomb(A) = Comb =>
Len = A.length,
Comb = new_map([(sum([A[I]:I in B..E])=([B,E])) : B in 1..Len, E in B..Len]).

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greatest_subsequential_sum_cp([]) = [] => true.
greatest_subsequential_sum_cp(A) = Seq =>
N = A.length,
% decision variables: start and end indices
Begin :: 1..N,
End :: 1..N,
% 1 if the number is in the selected sequence, 0 if not.
X = new_list(N),
X :: 0..1,
% Get the total sum (to be maximized)
TotalSum #= sum([X[I]*A[I] : I in 1..N]),
SizeWindow #= sum(X),
% Calculate the windows of the greatest subsequential sum
End #>= Begin,
End - Begin #= SizeWindow -1,
foreach(I in 1..N)
(Begin #=< I #/\ End #>= I) #<=> X[I] #= 1
end,
Vars = X ++ [Begin,End],
solve($[inout,updown,max(TotalSum)], Vars),
if TotalSum > 0 then
Seq = [A[I] : I in Begin..End]
else
Seq = []
end.

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import cp.
go =>
LL = [[-1 , -2 , 3 , 5 , 6 , -2 , -1 , 4 , -4 , 2 , -1],
[-1,-2, 3],
[-1,-2],
[0],
[],
[144, 5, -8, 7, 15],
[144, -145, -8, 7, 15],
[-144, 5, -8, 7, 15]
],
println("Iterative version:"),
foreach(L in LL)
printf("%w: ", L),
G = greatest_subsequential_sum_it(L),
println([gss=G, sum=sum(G)])
end,
nl,
println("Constraint model"),
foreach(L in LL)
printf("%w: ", L),
G = greatest_subsequential_sum_cp(L),
println([gss=G, sum=sum(G)])
end,
nl.