- Given symmetric matrices F0,F1,,Fn,cast the following optimization problem as an
SDP
min (Ax + b)TF(x)1(Ax + b)
s.t. F(x) 0
where F(x) = F0 + x1F1 + + xnFn
- Given symmetric matrices W0 and W1, find the dual of the optimization min
min xTW0X
s.t. xTW1x 1.
- Use the duality idea to prove that the set is empty if the set
! | Rm, 0,AT = 0,bT < 0
is nonempty (where A Rmn).
- Separating hyperplane between two polyhedra: formulate the following problem as an
LP (feasibility) problem. Find a separating hyperplane that strictly separates two polyhedra
P1 = {x | Ax b}, P2 = {x | Cx d}
then find a vector a Rn and a scalar such that
aTx > x P1, aTx < x P2
Hence infxP2 aTx > > supxP2 aTx Use LP duality to simplify the infimum and supremum in these conditions.
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