Data is often referred to as the new oil of the digital economy, representing a highly valuable and untapped asset. To fully realize the potential of spatial data, various spatial data marketplace ...

Metric spaces form the backbone of modern computational geometry by providing a rigorous framework for measuring distances within abstract sets, while geometric approximation algorithms yield ...

Considering the characteristics of spatial straightness error, this paper puts forward a kind of evaluation method of spatial straightness error using Geometric ...

Abstract: Real-time applications, such as ticket booking systems, video streaming systems, social networking services, and online games, are prevalent nowadays. Low latency between a user and a server ...

New York Restricts the Use of Algorithms in Setting Rents In light of recent changes in the law and closely monitor developments in this area, New York landlords and software companies should review ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Trajectory surface-hopping (TSH) methods have become the most used approach in ...

Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design. Researchers are dedicated to ...

Google has officially begun rolling out its March 2025 core algorithm update, according to an announcement posted to the Google Search Status Dashboard today. The update commenced at 9:23 AM PDT and ...

We propose the Trust Region Preference Approximation (TRPA) algorithm ⚙️, which integrates rule-based optimization with preference-based optimization for LLM reasoning tasks 🤖🧠. As a ...

Abstract: Finding the shortest vector in a lattice is a NP-hard problem. The best known approximation algorithm for this problem is LLL algorithm with the approximation factor of αn-1\2, α≥4\3, which ...

With this project we researched, implemented and analyzed different algorithms to effectively and efficiently solve an NP-Complete problem such as the Minimum Vertex Cover (MVC).