Fast algorithms for supermodular and non-supermodular minimization via bi-criteria strategy
From MaRDI portal
Publication:2091111
DOI10.1007/s10878-022-00914-6zbMath1505.90116OpenAlexW4296630884MaRDI QIDQ2091111
Qian Liu, Yang Zhou, Min Li, Xiao-Juan Zhang
Publication date: 31 October 2022
Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10878-022-00914-6
bi-criteriasupermodularfuzzy \(C\)-means problemgroup sparse linear regression problemnon-supermodular
Analysis of algorithms and problem complexity (68Q25) Combinatorial optimization (90C27) Parallel algorithms in computer science (68W10) Approximation algorithms (68W25)
Cites Work
- Unnamed Item
- Numerical methods for solving linear least squares problems
- Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints
- Adaptive Sampling for k-Means Clustering
- An analysis of approximations for maximizing submodular set functions—I
- Optimal Approximation for Submodular and Supermodular Optimization with Bounded Curvature
- Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures
- Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes
- The adaptive complexity of maximizing a submodular function
- Submodular Maximization with Nearly Optimal Approximation, Adaptivity and Query Complexity
- An Exponential Speedup in Parallel Running Time for Submodular Maximization without Loss in Approximation
- Near-Optimal Column-Based Matrix Reconstruction
- On the Power of Adaptivity in Sparse Recovery
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
This page was built for publication: Fast algorithms for supermodular and non-supermodular minimization via bi-criteria strategy