Latest Articles for Data Structures

This study evaluates changes in network connections and their impact on optimal paths.

New polynomial methods simplify tree isomorphism verification.

Learn how distance oracles optimize distance queries in large networks.

A look at Binary Search Trees and Huffman trees under uncertainty.

A methodical approach to convert unions into tagged unions using static analysis.

EHL* optimizes memory use while quickly finding shortest paths in complex environments.

An overview of digraphs, their cycles, and the concept of period.

A new method for finding shortest paths in changing directed graphs.

This article examines how GNNs enhance the solving of SAT problems.

A look at how algebraic theories help describe mathematical structures and their interactions.

Understanding key concepts for monitoring connections in oriented graphs.

Explore the concepts, properties, and transformations of circular-arc graphs.

Analyzing complex relationships in hypergraphs using simplicial ratios and matrices.

This article discusses the connection between RvNNs and Transformers through CRvNN and NDR.

Pawns merges programming styles for efficiency and clarity.

Learn about tree transducers, their types, features, and applications in data processing.

This article explores the structure of perfect graphs and their comparability subgraphs.

Researchers develop new techniques for building strong bipartite graphs.

An overview of priority queues used in finding shortest paths in networks.

Exploring the role of high dimensional expanders in mathematics and computer science.

New algorithm improves analysis of regular languages and their partitions.

Discover how non-global Parikh tree automata improve tree structure analysis.

Exploring the significance and implications of deep sets in information theory.

New neural networks improve analysis of complex, directed data relationships.

Containers shape data structures for better management and organization in programming.

A method for better handling large networks in machine learning.

A new method streamlines the counting of minimal models in Boolean logic.

QLMNtal enhances graph handling with powerful quantification features.

A look at how sparse graphs relate to their line graphs and properties.

An overview of joint embedding property and its implications for cographs and trees.

This study reveals the limits and structures of planar -complete graphs.

Exploring how trees fit into graphs through connections and structures.

A study on dynamic issues in unit disk graphs and efficient problem-solving methods.

Gabow's algorithm efficiently finds maximum matchings in general graphs.

This paper examines how MongoDB optimizes query execution plans through unique methods.

Discover new methods for representing Baxter permutations with improved space efficiency.

New methods for efficiently analyzing network changes in weighted graphs.

An overview of temporal forests and their significance in tracking changing connections.

New methods enhance counting shapes in directed graphs, improving speed and accuracy.

A new algorithm enhances convex hull finding with improved efficiency.