Abstract
Mixed-integer conic programming is a generalization of mixed-integer linear programming. In this paper, we present an extension of the duality theory for mixed-integer linear programming (see [M. Güzelsoy and T. K. Ralphs, Int. J. Oper. Res. (Taichung), 4 (2007), pp. 118-137], [G. L. Nemhauser and L. A. Wolsey, Integer and Combinatorial Optimization, Wiley-Interscience, New York, 1988]) to the case of mixed-integer conic programming. In particular, we construct a subadditive dual for mixed-integer conic programming problems. Under a simple condition on the primal problem, we show that strong duality holds.
Original language | English |
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Pages (from-to) | 1136-1150 |
Number of pages | 15 |
Journal | SIAM Journal on Optimization |
Volume | 22 |
Issue number | 3 |
DOIs | |
State | Published - 2012 |
Externally published | Yes |
Keywords
- Conic programming
- Cutting planes
- Duality
- Mixed-integer nonlinear programming