Parameterized algorithms for graph partitioning problems
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Publication:2408556
DOI10.1007/s00224-016-9706-0zbMath1378.68094arXiv1403.0099OpenAlexW296387298MaRDI QIDQ2408556
Publication date: 12 October 2017
Published in: Theory of Computing Systems, Graph-Theoretic Concepts in Computer Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1403.0099
Analysis of algorithms and problem complexity (68Q25) Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.) (05C70) Graph algorithms (graph-theoretic aspects) (05C85)
Related Items (7)
On the parameterized complexity of the Maximum Exposure Problem ⋮ FPT approximation and subexponential algorithms for covering few or many edges ⋮ Parameterized Complexity of Multi-Node Hubs ⋮ \((k,n-k)\)-\textsc{Max-Cut}: an \(\mathcal{O}^*(2^p)\)-time algorithm and a polynomial kernel ⋮ Parameterized complexity of multi-node hubs ⋮ Multi-parameter analysis for local graph partitioning problems: using greediness for parameterization ⋮ An algorithmic framework for fixed-cardinality optimization in sparse graphs applied to dense subgraph problems
Cites Work
- Unnamed Item
- Unnamed Item
- Fixed-parameter tractability and completeness II: On completeness for W[1]
- Treewidth. Computations and approximations
- Multi-parameter analysis for local graph partitioning problems: using greediness for parameterization
- Parameterized complexity of Vertex Cover variants
- $$(k,n-k)$$ ( k , n - k ) -Max-Cut: An $${\mathcal O}^*(2^p)$$ O ∗ ( 2 p ) -Time Algorithm and a Polynomial Kernel
- Representative Sets of Product Families
- Representative Families: A Unified Tradeoff-Based Approach
- Designing FPT Algorithms for Cut Problems Using Randomized Contractions
- Deterministic Algorithms for Matching and Packing Problems Based on Representative Sets
- Random Separation: A New Method for Solving Fixed-Cardinality Optimization Problems
- VLSI Physical Design: From Graph Partitioning to Timing Closure
- Finding Dense Subgraphs of Sparse Graphs
- Exact and Approximation Algorithms for Densest k-Subgraph
- Minimum bisection is fixed parameter tractable
- Improved Upper Bounds for Partial Vertex Cover
- Efficient Computation of Representative Sets with Applications in Parameterized and Exact Algorithms
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