all AI news
On the convex hull of convex quadratic optimization problems with indicators. (arXiv:2201.00387v1 [math.OC])
Jan. 4, 2022, 2:10 a.m. | Linchuan Wei, Alper Atamtürk, Andrés Gómez, Simge Küçükyavuz
cs.LG updates on arXiv.org arxiv.org
We consider the convex quadratic optimization problem with indicator
variables and arbitrary constraints on the indicators. We show that a convex
hull description of the associated mixed-integer set in an extended space with
a quadratic number of additional variables consists of a single positive
semidefinite constraint (explicitly stated) and linear constraints. In
particular, convexification of this class of problems reduces to describing a
polyhedral set in an extended formulation. We also give descriptions in the
original space of variables: we …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne