Fast algorithms for maximizing monotone nonsubmodular functions
From MaRDI portal
Publication:5918332
DOI10.1007/978-3-030-57602-8_19zbMath1485.90114OpenAlexW3048198878MaRDI QIDQ5918332
Publication date: 5 July 2021
Published in: Algorithmic Aspects in Information and Management (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-57602-8_19
Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27) Approximation algorithms (68W25)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- A framework of discrete DC programming by discrete convex analysis
- A note on maximizing a submodular set function subject to a knapsack constraint
- Solving the degree-concentrated fault-tolerant spanning subgraph problem by DC programming
- Pipage rounding: a new method of constructing algorithms with proven performance guarantee
- Parametric monotone function maximization with matroid constraints
- Maximize a monotone function with a generic submodularity ratio
- Set function optimization
- Constrained Monotone Function Maximization and the Supermodular Degree
- Welfare maximization and the supermodular degree
- An analysis of approximations for maximizing submodular set functions—I
- Best Algorithms for Approximating the Maximum of a Submodular Set Function
- Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes
- Fast algorithms for maximizing submodular functions
This page was built for publication: Fast algorithms for maximizing monotone nonsubmodular functions