惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

IT之家
IT之家
H
Help Net Security
GbyAI
GbyAI
博客园_首页
G
Google Developers Blog
Microsoft Security Blog
Microsoft Security Blog
博客园 - 【当耐特】
月光博客
月光博客
美团技术团队
B
Blog RSS Feed
博客园 - 三生石上(FineUI控件)
WordPress大学
WordPress大学
博客园 - 叶小钗
有赞技术团队
有赞技术团队
T
The Blog of Author Tim Ferriss
Engineering at Meta
Engineering at Meta
Google DeepMind News
Google DeepMind News
Y
Y Combinator Blog
宝玉的分享
宝玉的分享
Microsoft Azure Blog
Microsoft Azure Blog
罗磊的独立博客
云风的 BLOG
云风的 BLOG
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
P
Proofpoint News Feed

cs.DS updates on arXiv.org

PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications A computational phase transition for learning-to-sample from Ising models Covering vertices by sequential stars Fermi-Dirac machines as quantizations of neurons A Comprehensive Evaluation of Vertex Elimination Algorithms for Algorithmic Differentiation A Tight Bound on Localization of Electrical Flows Optimal Dimension-Free Sampling for Regularized Classification Reducing the Randomness in Partition Oracles for Bounded Degree Minor-Free Graphs Beyond the Half-Approximation: Fair and Efficient Online Class Matching Efficient Uniform Sampling of Surjections via their Profiles Tractable Maximization of Budgeted Phylogenetic Diversity on Networks Utilizing Node Scanwidth Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking Learning-Augmented Online Scheduling with Parsimonious Preemption Entropy Equivalence Testing Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees The Secretary Problem with a Stochastic Precursor Polynomial-Time Robust Multiclass Linear Classification under Gaussian Marginals Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification Block-Sphere Vector Quantization An Approximation Algorithm for Graph Label Selection Iterative Chow Filtering for Learning with Distribution Shift Complexity of Non-Log-Concave Sampling in Fisher Information Stochastic Matching via Local Sparsification Finite Sample Bounds for Learning with Score Matching What is Learnable in Valiant's Theory of the Learnable? Provable Quantization with Randomized Hadamard Transform Min-Max Optimization Requires Exponentially Many Queries Fast and Compact Graph Cuts for the Boykov-Kolmogorov Algorithm A proximal gradient algorithm for composite log-concave sampling
Counting perfect matchings in graphs that exclude a singl...
Radu Curticapean · 2014-06-17 · via cs.DS updates on arXiv.org

A graph $H$ is single-crossing if it can be drawn in the plane with at most one crossing. For any single-crossing graph $H$, we give an $O(n^4)$ time algorithm for counting perfect matchings in graphs excluding $H$ as a minor. The runtime can be lowered to $O(n^{1.5})$ when $G$ excludes $K_5$ or $K_{3,3}$ as a minor. This is the first generalization of an algorithm for counting perfect matchings in $K_{3,3}$-free graphs (Little 1974, Vazirani 1989). Our algorithm uses black-boxes for counting perfect matchings in planar graphs and for computing certain graph decompositions. Together with an independent recent result (Straub et al. 2014) for graphs excluding $K_5$, it is one of the first nontrivial algorithms to not inherently rely on Pfaffian orientations.