Paper
Open access paper on the nonconvex features of SHOT
The paper on SHOT's polyhedral approximation strategies for nonconvex MINLP is published in the Journal of Global Optimization, with benchmarks on nonconvex MINLP and MIQCQP.
The full paper about the nonconvex features in SHOT is available online, open access, in the Journal of Global Optimization. It also includes benchmarks on nonconvex MINLP and MIQCQP problems.
Lundell, A. and Kronqvist, J. Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT. Journal of Global Optimization 82(4), 863–896 (2022). doi:10.1007/s10898-021-01006-1