Don Coppersmith, Jon Lee
Discrete Optimization
We consider optimization of nonlinear objective functions that balance d linear criteria over n-element independence systems presented by linear-optimization oracles. For d=1, we have previously shown that an r-best approximate solution can be found in polynomial time. Here, using an extended ErdsKoRado theorem of Frankl, we show that for d=2, finding a ρn-best solution requires exponential time. © 2011 Elsevier B.V. All rights reserved.
Don Coppersmith, Jon Lee
Discrete Optimization
Samuel Burer, Jon Lee
Mathematical Programming
Jon Lee, Janny Leung, et al.
Discrete Optimization
Y. Berstein, Jon Lee, et al.
Mathematical Programming