An outer-approximation algorithm for a class of mixed-integer nonlinear programs
Mathematical Programming: Series A and B
Semidefinite Relaxations of Fractional Programs via Novel Convexification Techniques
Journal of Global Optimization
Perspective cuts for a class of convex 0–1 mixed integer programs
Mathematical Programming: Series A and B
A Lifted Linear Programming Branch-and-Bound Algorithm for Mixed-Integer Conic Quadratic Programs
INFORMS Journal on Computing
SDP diagonalizations and perspective cuts for a class of nonseparable MIQP
Operations Research Letters
Projected Perspective Reformulations with Applications in Design Problems
Operations Research
On interval-subgradient and no-good cuts
Operations Research Letters
Journal of Global Optimization
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The Perspective Reformulation generates tight approximations to MINLP problems with semicontinuous variables. It can be implemented either as a Second-Order Cone Program, or as a Semi-Infinite Linear Program. We compare the two reformulations on two MIQPs in the context of exact or approximate Branch-and-Cut algorithms.