Solving Optimization Problems with Diseconomies of Scale via Decoupling

  title={Solving Optimization Problems with Diseconomies of Scale via Decoupling},
  author={Konstantin Makarychev and Maxim Sviridenko},
  journal={2014 IEEE 55th Annual Symposium on Foundations of Computer Science},
We present a new framework for solving optimization problems with a diseconomy of scale. In such problems, our goal is to minimize the cost of resources used to perform a certain task. The cost of resources grows superlinearly, as x<sup>q</sup>, q ≥ 1, with the amount x of resources used. We define a novel linear programming relaxation for such problems, and then show that the integrality gap of the relaxation is A<sub>q</sub>, where A<sub>q</sub> is the q-th moment of the Poisson random… CONTINUE READING
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