Multiple knapsack-constrained monotone DR-submodular maximization on distributive lattice Continuous Greedy Algorithm on Median Complex
We consider a problem of maximizing a monotone DR-submodular function under multiple order-consistent knapsack constraints on a distributive lattice. Because a distributive lattice is used to represent a dependency constraint, the problem can represent a dependency constrained version of a submodula...
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| Published in: | Mathematical programming Vol. 194; no. 1-2; pp. 85 - 119 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.07.2022
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| Subjects: | |
| ISSN: | 0025-5610, 1436-4646 |
| Online Access: | Get full text |
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| Summary: | We consider a problem of maximizing a monotone DR-submodular function under multiple order-consistent knapsack constraints on a distributive lattice. Because a distributive lattice is used to represent a dependency constraint, the problem can represent a dependency constrained version of a submodular maximization problem on a set. We propose a (
1
-
1
/
e
)-approximation algorithm for this problem. To achieve this result, we generalize the continuous greedy algorithm to distributive lattices: We choose a
median complex
as a continuous relaxation of the distributive lattice and define the
multilinear extension
on it. We show that the median complex admits special curves, named
uniform linear motions
. The multilinear extension of a DR-submodular function is concave along a positive uniform linear motion, which is a key property used in the continuous greedy algorithm. |
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| ISSN: | 0025-5610 1436-4646 |
| DOI: | 10.1007/s10107-021-01620-7 |