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Submodular Function Minimization under a Submodular Set Covering Constraint

Theory and Applications of Models of Computation, 2011
In this paper, we consider the problem of minimizing a submodular function under a submodular set covering constraint. We propose an approximation algorithm for this problem by extending the algorithm of Iwata and Nagano [FOCS'09] for the set cover problem with a submodular cost function.
Naoyuki Kamiyama
openaire   +2 more sources

Multi-level facility location as the maximization of a submodular set function

European Journal of Operational Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ortiz-Astorquiza, Camilo   +2 more
openaire   +2 more sources

A note on maximizing a submodular set function subject to a knapsack constraint

Operations Research Letters, 2004
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M. Sviridenko
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Maximizing a Submodular Set Function Subject to a Matroid Constraint (Extended Abstract)

Conference on Integer Programming and Combinatorial Optimization, 2007
Let $f:2^{N} \rightarrow \cal R^{+}$ be a non-decreasing submodular set function, and let $(N,\cal I)$ be a matroid. We consider the problem $\max_{S \in \cal I} f(S)$. It is known that the greedy algorithm yields a 1/2-approximation [9] for this problem. It is also known, via a reduction from the max-k-cover problem, that there is no (1 i¾?
Gruia Calinescu   +3 more
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Generalized Budgeted Submodular Set Function Maximization

International Symposium on Mathematical Foundations of Computer Science, 2018
In this paper we consider a generalization of the well-known budgeted maximum coverage problem. We are given a ground set of elements and a set of bins. The goal is to find a subset of elements along with an associated set of bins, such that the overall ...
Francesco Cellinese   +3 more
semanticscholar   +1 more source

Minimizing submodular functions over families of sets

Combinatorica, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Goemans, M. X., Ramakrishnan, V. S.
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Extractive Summarization using Cohesion Network Analysis and Submodular Set Functions

2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2020
Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source ReaderBench framework, which can be retrofit to cover more than 50 languages. While considering the extensibility of
Valentin Sergiu Cioaca   +2 more
openaire   +1 more source

Cooperative Set Function Optimization Without Communication or Coordination

Adaptive Agents and Multi-Agent Systems, 2017
We introduce a new model for cooperative agents that seek to optimize a common goal without communication or coordination. Given a universe of elements V, a set of agents, and a set function f, we ask each agent i to select a subset Si ⊂ V such that the ...
Gustavo Malkomes   +5 more
semanticscholar   +1 more source

An exact cutting plane method for k-submodular function maximization

Discrete Optimization, 2020
A natural and important generalization of submodularity -- $k$-submodularity -- applies to set functions with $k$ arguments and appears in a broad range of applications, such as infrastructure design, machine learning, and healthcare.
Qimeng Yu, Simge Küçükyavuz
semanticscholar   +1 more source

Augmenting a Submodular and Posi-modular Set Function by a Multigraph

Journal of Combinatorial Optimization, 2001
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Nagamochi, Hiroshi   +2 more
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