Strong duality in conic linear programming: facial reduction and extended duals
Not on the map. Why?
Abstract (arXiv)
The facial reduction algorithm of Borwein and Wolkowicz and the extended dual of Ramana provide a strong dual for the conic linear program (P) sup <c, x> | Ax ≤K b in the absence of any constraint qualification. The facial reduction algorithm solves a sequence of auxiliary optimization problems to obtain such a dual. Ramana's dual is applicable when (P) is a semidefinite program (SDP) and is an explicit SDP itself. Ramana, Tuncel, and Wolkowicz showed that these approaches are closely related; in particular, they proved the correctness of Ramana's dual using certificates from a facial reduction algorithm. Here we give a clear and self-contained exposition of facial reduction, of extended duals, and generalize Ramana's dual: -- we state a simple facial reduction algorithm and prove its correctness; and -- building on this algorithm we construct a family of extended duals when K is a em nice cone. This class of cones includes the semidefinite cone and other important cones.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 31 Jan 2013.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1.
1 paper.