# Difference between revisions of "Discrete Time-Cost Tradeoff Problem"

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= Challenge = | = Challenge = | ||

− | Find a | + | Find a <math>\text{poly}\log(n)</math>-approximation algorithm. |

Find an LP (or SDP) formulation with an <math>o(n)</math> integrality ratio. | Find an LP (or SDP) formulation with an <math>o(n)</math> integrality ratio. |

## Revision as of 07:56, 22 September 2015

(suggested by Jens Vygen)

# Problem Statement

Let be an acyclic digraph. For each edge we have execution times and an acceleration cost (that we pay if we make the edge fast). Moreover, there is a deadline . Let be the set of all maximal paths in

The task is to find an edge set (the fast edges) such that for all . Among all such solutions we would like to minimize .

# What is known?

The best known approximation algorithm has approximation ratio . The problem cannot be approximated better than VERTEX COVER, and there is no constant-factor approximation algorithm if the Unique Games Conjecture holds.

The standard LP (via set covering) has integrality ratio . Knapsack cover inequalities do not help.

# Challenge

Find a -approximation algorithm. Find an LP (or SDP) formulation with an integrality ratio.