Approximability of Monotone Submodular Function Maximization under Cardinality and Matroid Constraints in the Streaming Model
From MaRDI portal
Publication:5028360
DOI10.1137/20M1357317OpenAlexW4297823791MaRDI QIDQ5028360
Naonori Kakimura, Yuichi Yoshida, Simon Mauras, Chien-Chung Huang
Publication date: 9 February 2022
Published in: SIAM Journal on Discrete Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.05477
Combinatorial optimization (90C27) Approximation algorithms (68W25) Online algorithms; streaming algorithms (68W27)
Related Items (4)
FPT-Algorithms for the \(\ell\) -Matchoid Problem with a Coverage Objective ⋮ Guarantees for maximization of \(k\)-submodular functions with a knapsack and a matroid constraint ⋮ On maximizing monotone or non-monotone \(k\)-submodular functions with the intersection of knapsack and matroid constraints ⋮ Semi-streaming algorithms for submodular matroid intersection
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Submodular maximization meets streaming: matchings, matroids, and more
- Combinatorial optimization. Polyhedra and efficiency (3 volumes)
- Multi-pass streaming algorithms for monotone submodular function maximization
- Streaming algorithms for maximizing monotone submodular functions under a knapsack constraint
- Better streaming algorithms for the maximum coverage problem
- Symmetry and Approximability of Submodular Maximization Problems
- A threshold of ln n for approximating set cover
- Maximizing a Monotone Submodular Function Subject to a Matroid Constraint
- Streaming Algorithms for Submodular Function Maximization
- Maximising Real-Valued Submodular Functions: Primal and Dual Heuristics for Location Problems
- An analysis of approximations for maximizing submodular set functions—I
- Best Algorithms for Approximating the Maximum of a Submodular Set Function
- Online Submodular Maximization with Free Disposal: Randomization Beats ¼ for Partition Matroids
- A Nearly-Linear Time Algorithm for Submodular Maximization with a Knapsack Constraint
- Online Submodular Maximization Problem with Vector Packing Constraint.
- Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes
- The one-way communication complexity of submodular maximization with applications to streaming and robustness
- The adaptive complexity of maximizing a submodular function
- Maximizing a Monotone Submodular Function with a Bounded Curvature under a Knapsack Constraint
- Submodular Maximization with Nearly-optimal Approximation and Adaptivity in Nearly-linear Time
- An Exponential Speedup in Parallel Running Time for Submodular Maximization without Loss in Approximation
- Submodular Function Maximization in Parallel via the Multilinear Relaxation
- Fast algorithms for maximizing submodular functions
- Monotone Submodular Maximization over a Matroid via Non-Oblivious Local Search
- Submodular Maximization over Multiple Matroids via Generalized Exchange Properties
- Improved streaming algorithms for maximizing monotone submodular functions under a knapsack constraint
This page was built for publication: Approximability of Monotone Submodular Function Maximization under Cardinality and Matroid Constraints in the Streaming Model