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
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