[37] | 1 | function [F,properties,arguments]=max_model(X,method,options,extstruct) |
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| 2 | |
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| 3 | switch method |
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| 4 | case 'graph' |
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| 5 | arguments=[]; |
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| 6 | if length(extstruct.arg) == 1 |
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| 7 | F = set(extstruct.var - extstruct.arg{1}); |
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| 8 | arguments = extstruct.arg{1}(:); |
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| 9 | else |
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| 10 | arguments=[]; |
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| 11 | F = set([]); |
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| 12 | for j = 1:length(extstruct.arg) |
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| 13 | F = F + set(extstruct.var - extstruct.arg{j}); |
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| 14 | arguments = [arguments;extstruct.arg{j}(:)]; |
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| 15 | end |
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| 16 | end |
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| 17 | properties = struct('convexity','convex','monotonicity','increasing','definiteness','none'); |
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| 18 | case 'milp' |
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| 19 | arguments = []; |
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| 20 | F = set([]); |
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| 21 | t = extstruct.var; |
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| 22 | for j = 1:length(extstruct.arg) % MAX(x,y) |
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| 23 | X = extstruct.arg{j}; |
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| 24 | X = reshape(X,length(X),1); |
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| 25 | [M,m] = derivebounds(X); |
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| 26 | n = length(X); |
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| 27 | d = binvar(n,1); |
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| 28 | F = F + set(sum(d)==1); |
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| 29 | F = F + set(-(max(M)-min(m))*(1-d) <= t-X <= (max(M)-min(m))*(1-d)); |
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| 30 | kk = []; |
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| 31 | ii = []; |
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| 32 | for i = 1:n |
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| 33 | k = [1:1:i-1 i+1:1:n]'; |
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| 34 | ii = [ii;repmat(i,n-1,1)]; |
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| 35 | kk = [kk;k]; |
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| 36 | Mm = M(k)-m(i); |
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| 37 | end |
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| 38 | xii = extsubsref(X,ii); |
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| 39 | dii = extsubsref(d,ii); |
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| 40 | xkk = extsubsref(X,kk); |
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| 41 | F = F + set(xkk <= xii+(M(kk)-m(ii)).*(1-dii)); |
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| 42 | arguments = [arguments;extstruct.arg{j}(:)]; |
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| 43 | end |
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| 44 | properties = struct('convexity','exact','monotonicity','exact','definiteness','none'); |
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| 45 | |
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| 46 | otherwise |
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| 47 | F = []; |
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| 48 | return |
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| 49 | end |
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