Latest Articles for Computer Science

A look into the relationship between stack and queue numbers in graph theory.

A look into the properties and challenges of intersecting even cycles in graphs.

A new method simplifies complex calculations in parametric Markov models.

Int-splits enhance the efficiency of QBF solvers by reducing unnecessary computations.

Exploring a randomized approach to tackle complex optimization problems.

An overview of morphisms in category theory and their significance in topology.

This article examines random colouring methods for sparse graphs and their implications.

A novel approach to enhance performance in atomic registers for distributed systems.

This research examines the discrete Green's function's behavior near singularities in three dimensions.

Discover the unique properties and applications of automatic sequences in mathematics and computer science.

Discover how genetic algorithms can enhance load balancing in complex networks.

Learn about Sliding Block Hashing for efficient data management in hash tables.

Introducing a parallel method for creating efficient spanners in graph theory.

NPS enhances microprocessor performance by improving program sampling accuracy and efficiency.

Discover LTL's role in analyzing system behavior over time.

A new method improves strategies for the challenging Maximum Cut problem.

A look at methods to multiply polynomials quickly, focusing on FFT.

Learn about a programming language for managing qubits effectively.

Examining the role of unitary operations and Hamiltonians in quantum complexity.

Exploring two-player games and their implications in computer science.

A look into how piercing numbers relate to convex sets and their applications.

A look at how persistent homology analyzes shapes and features in data.

AsymSAT improves SAT solving by addressing variable dependencies effectively.

New logic framework enhances understanding of past events and automata relationships.

An overview of relationships between sets in category theory.

A look into the properties and performance of probabilistic pushdown automata.

New insights into parallel tempering enhance sampling efficiency for complex distributions.

A new parallel DFS algorithm improves efficiency for graph exploration.

New methods in list defective colorings improve network efficiency and task scheduling.

A look into automata networks and how update modes influence interactions.

This study presents a method to improve LDPC code decoding efficiently using gradient flow.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

SALSA improves DNN task scheduling for better efficiency and energy savings.

Explore how curvature influences our perception of shapes and their properties.

A look at how network structure influences neural network performance.

This study introduces innovative methods to analyze counting problems effectively.

Exploring logarithmic functions of multivectors within three-dimensional Clifford algebra.

New algorithms enhance semisorting efficiency and flexibility for data processing tasks.

Explore the relationships and cycles in edge disjointness graphs.

A study on the complexity of defining relationships in algebraic structures.