Code covered by the BSD License
- MPCC_con()
complemantary conditions
- constraint(xd,p)
- master_genecircuit()System Biology
- master_genecircuit()System Biology
- master_genecircuit()
Optimize objective function
- non_con(x,p)sensitivity constraint; sensitivity>1
- non_con_jacobian_tom(x,p)
defect constraints
- non_con_jacobian_tom(x,p)
defect constraints
- non_con_tom(x,p)
defect constraints
- non_con_tom(x,p)
defect constraints
- obj(x,p)
- obj(x,p)
- obj_gradient(x,p)
- objective(xd,p)
- save2pdf(pdfFileName,hand...SAVE2PDF Saves a figure as a properly cropped pdf
- save2pdf(pdfFileName,hand...SAVE2PDF Saves a figure as a properly cropped pdf
- save2pdf(pdfFileName,hand...SAVE2PDF Saves a figure as a properly cropped pdf
- sys(t, X, xd, p)
- system(t,X,xd,p)system
- system(t,X,xd,p)system
- system_jacobian(t,x_state...Jacobian of differential equations
- system_jacobian(t,x_state...Jacobian of differential equations
- system_jacobian_d(t,x_sta...Jacobian of differential equations
- system_jacobian_d(t,x_sta...Jacobian of differential equations
-
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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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