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ParallelDP.jl
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116 lines (74 loc) · 2.44 KB
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module ParallelDP
export LiLarge!, FeasLoopP, PossLoopP, Rows!
function LiLarge!(Li::BitArray{1},L1::Array{Int64,1},L2::Array{Int64,1})
"""Return a boolean vector saying if the change of
portfolio is feasible (ie if tomorrow number of
workers is larger than todays
Parameters
----------
Li : Ready Boolean Vector
L1 : Todays Labour Portfolio
L2 : Vector with all possible portfolios
Output
----------
Li : Filled Boolean Vector
"""
for i=1:length(Li)
Li[i]=L1[rem(i-1,length(L1))+1]>=L2[i];
end
end
function FeasLoopP(L::Array{Any,1},L2::Array{Int64,1})
"""Find the indexes of the Feasible Portfolios
for each current Portfolio
Parameters
----------
L : Labour Portfolio
L2 : Vector with all possible portfolios
Output
----------
C : List with all Feasible Portfolio indexes for each Portfolio
"""
C=Array(Array{Int64,1},length(L));
Li=BitArray(length(L2));
for i=1:length(L)
LiLarge!(Li,vcat(L[i][1:end-2],sum(L[i][end-1:end])),L2);
C[i]=find(prod(reshape(Li,length(L[1])-1,div(length(Li),length(L[1])-1)),1));
end
return C
end
function PossLoopP(L::Array{Any,1},L2::Array{Int64,1})
"""Find the indexes of the Possible Portfolio QnR
for each current Portfolio
Parameters
----------
L : Labour Portfolio
L2 : Vector with all possible portfolios
Output
----------
C : List with all Feasible Portfolio indexes for each Portfolio
"""
C=Array(Array{Int64,1},length(L));
Li=BitArray(length(L2));
for i=1:length(L)
LiLarge!(Li,L[i],L2);
C[i]=find(prod(reshape(Li,length(L[1]),div(length(Li),length(L[1]))),1));
end
return C
end
function Rows!(R::Array{Array{Int64,1},1})
"""Give the Indexes for Todays Portfolio
for each feasible Portfolio Change. It does
it by filling the Feasible portfolio Matrix
with its coloumn value
Parameters
----------
R : Empty Array of Indexes of Today Portfolio by the Number of Feasible Portfolios
Output
----------
R : Array of Indexes of Today Portfolio by the Number of Feasible Portfolios
"""
for i=1:length(R)
fill!(R[i],i);
end
end
end