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An optimal streaming algorithm for non-submodular functions maximization on the integer lattice
by
Chen, Zihan
, Liu, Bin
, Wu, Weili
, Wang, Huijuan
in
Algorithms
/ Approximation
/ Combinatorics
/ Convex and Discrete Geometry
/ Integers
/ Mathematical Modeling and Industrial Mathematics
/ Mathematics
/ Mathematics and Statistics
/ Maximization
/ Operations Research/Decision Theory
/ Optimization
/ Theory of Computation
2023
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An optimal streaming algorithm for non-submodular functions maximization on the integer lattice
by
Chen, Zihan
, Liu, Bin
, Wu, Weili
, Wang, Huijuan
in
Algorithms
/ Approximation
/ Combinatorics
/ Convex and Discrete Geometry
/ Integers
/ Mathematical Modeling and Industrial Mathematics
/ Mathematics
/ Mathematics and Statistics
/ Maximization
/ Operations Research/Decision Theory
/ Optimization
/ Theory of Computation
2023
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Do you wish to request the book?
An optimal streaming algorithm for non-submodular functions maximization on the integer lattice
by
Chen, Zihan
, Liu, Bin
, Wu, Weili
, Wang, Huijuan
in
Algorithms
/ Approximation
/ Combinatorics
/ Convex and Discrete Geometry
/ Integers
/ Mathematical Modeling and Industrial Mathematics
/ Mathematics
/ Mathematics and Statistics
/ Maximization
/ Operations Research/Decision Theory
/ Optimization
/ Theory of Computation
2023
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An optimal streaming algorithm for non-submodular functions maximization on the integer lattice
Journal Article
An optimal streaming algorithm for non-submodular functions maximization on the integer lattice
2023
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Overview
Submodular optimization problem has been concerned in recent years. The problem of maximizing submodular and non-submodular functions on the integer lattice has received a lot of recent attention. In this paper, we study streaming algorithms for the problem of maximizing a monotone non-submodular functions with cardinality constraint on the integer lattice. For a monotone non-submodular function
f
:
Z
+
n
→
R
+
defined on the integer lattice with diminishing-return (DR) ratio
γ
, we present a one pass streaming algorithm that gives a
(
1
-
1
2
γ
-
ϵ
)
-approximation, requires at most
O
(
k
ϵ
-
1
log
k
/
γ
)
space and
O
(
ϵ
-
1
log
k
/
γ
·
log
‖
B
‖
∞
)
update time per element. We then modify the algorithm and improve the memory complexity to
O
(
k
γ
ϵ
)
. To the best of our knowledge, this is the first streaming algorithm on the integer lattice for this constrained maximization problem.
Publisher
Springer US,Springer Nature B.V
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