Search Results for author: Naoya Uematsu

Found 2 papers, 0 papers with code

An efficient branch-and-cut algorithm for approximately submodular function maximization

no code implementations26 Apr 2019 Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara

For the problem of maximizing an approximately submodular function (ASFM problem), a greedy algorithm quickly finds good feasible solutions for many instances while guaranteeing ($1-e^{-\gamma}$)-approximation ratio for a given submodular ratio $\gamma$.

An efficient branch-and-bound algorithm for submodular function maximization

no code implementations10 Nov 2018 Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara

Nemhauser and Wolsey developed an exact algorithm called the constraint generation algorithm that starts from a reduced BIP problem with a small subset of constraints taken from the constraints and repeats solving a reduced BIP problem while adding a new constraint at each iteration.

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