Mixed-integer quadratic programming

By R. Lazimy. 1982

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jue Wang
2. Anoop Cherian
3. Nikolaos V. Sahinidis
4. Fatih Murat Porikli
5. Stephen Gould
6. Mohit Tawarmalani
7. Xiaogang Wang
8. Andrew Zisserman

Citations in the corpus

• Video Representation Learning Using Discriminative Pooling (2018, background): “Also, note that the sub-problem P1 could be posed as a mixed-integer quadratic program (MIQP), which is known to be in NP [24].”
• Global optimization of mixed-integer nonlinear programs: A theoretical and computational study (2004, background): “Solution strategies explicitly addressing mixed-integer nonlinear programs (MINLPs) have appeared rather sporadically in the literature and initially dealt mostly with problems that are convex when integrality restrictions are dropped and/or contain nonlinearities that are quadratic [24, 22, 16, 23,”