Abstract: Machine Learning (ML)-based optimization frameworks emerge as a promising technique for solving large-scale Mixed Integer Linear Programs (MILPs), as they can capture the mapping between ...
Abstract: We propose two new algorithms for solving quadratically constrained quadratic programming (QCQP) problems arising from real-time optimization based control such as model predictive control ...
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