Advances in Graph Algorithms and Matrix Norm Approximation

The field of graph algorithms and matrix norm approximation is witnessing significant advancements, driven by innovative techniques and improved time complexities. Researchers are focusing on developing efficient algorithms for distance queries, fault-tolerant labeling, and matrix norm approximation, leading to improved performance and scalability. Notably, the development of near-optimal constructions for additively weighted Voronoi diagrams and constant-stretch spanning tree covers are revolutionizing the field. These advancements have far-reaching implications for various applications, including routing, path-reporting oracles, and oblivious routings.

Some noteworthy papers in this area include:

  • Faster Construction of a Planar Distance Oracle with ~O(1) Query Time, which presents a significant improvement in preprocessing time for planar distance oracles.
  • Approximating q → p Norms of Non-Negative Matrices in Nearly-Linear Time, which provides the first nearly-linear time algorithm for approximating matrix norms.
  • Light Tree Covers, Routing, and Path-Reporting Oracles via Spanning Tree Covers in Doubling Graphs, which resolves a longstanding open question by constructing a constant-stretch spanning tree cover for doubling graphs.

Sources

Faster Construction of a Planar Distance Oracle with \~{O}(1) Query Time

\~Optimal Fault-Tolerant Labeling for Reachability and Approximate Distances in Directed Planar Graphs

Approximating $q \rightarrow p$ Norms of Non-Negative Matrices in Nearly-Linear Time

Light Tree Covers, Routing, and Path-Reporting Oracles via Spanning Tree Covers in Doubling Graphs

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