Conic optimization
Subfield of convex optimization / From Wikipedia, the free encyclopedia
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Conic optimization is a subfield of convex optimization that studies problems consisting of minimizing a convex function over the intersection of an affine subspace and a convex cone.
This article includes a list of general references, but it lacks sufficient corresponding inline citations. (October 2011) |
The class of conic optimization problems includes some of the most well known classes of convex optimization problems, namely linear and semidefinite programming.