Code covered by the BSD License
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MPCC_con()
complemantary conditions
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constraint(xd,p)
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master_genecircuit()
System Biology
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master_genecircuit()
System Biology
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master_genecircuit()
Optimize objective function
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non_con(x,p)
sensitivity constraint; sensitivity>1
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non_con_jacobian_tom(x,p)
defect constraints
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non_con_jacobian_tom(x,p)
defect constraints
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non_con_tom(x,p)
defect constraints
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non_con_tom(x,p)
defect constraints
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obj(x,p)
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obj(x,p)
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obj_gradient(x,p)
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objective(xd,p)
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save2pdf(pdfFileName,handle,d...
SAVE2PDF Saves a figure as a properly cropped pdf
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save2pdf(pdfFileName,handle,d...
SAVE2PDF Saves a figure as a properly cropped pdf
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save2pdf(pdfFileName,handle,d...
SAVE2PDF Saves a figure as a properly cropped pdf
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sys(t, X, xd, p)
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system(t,X,xd,p)
system
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system(t,X,xd,p)
system
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system_jacobian(t,x_state,xd,...
Jacobian of differential equations
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system_jacobian(t,x_state,xd,...
Jacobian of differential equations
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system_jacobian_d(t,x_state,x...
Jacobian of differential equations
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system_jacobian_d(t,x_state,x...
Jacobian of differential equations
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View all files
from
MPCC Solution of Genetic Regulatory Circuit Design Problems
by James Allison
Demonstration of a novel MPCC-based technique for solving gene circuit design problems.
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| MPCC_con()
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function mpec = MPCC_con()
% complemantary conditions
%x_d = x(1:p.n_param);
%mpec = sparse(9,6);
mpec = [3 12 0 0 0 0;
4 13 0 0 0 0;
3 15 0 0 0 0;
6 15 0 0 0 0;
3 5 0 0 0 0;
4 5 0 0 0 0;
12 14 0 0 0 0;
13 14 0 0 0 0;
6 15 0 0 0 0;
7 16 0 0 0 0;
6 8 0 0 0 0;
7 8 0 0 0 0;
15 17 0 0 0 0;
16 17 0 0 0 0;
9 18 0 0 0 0;
10 19 0 0 0 0;
9 11 0 0 0 0
10 11 0 0 0 0;
18 20 0 0 0 0;
19 20 0 0 0 0;
];
end
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