Abstract: This paper proposes and analyzes a gradient-type algorithm based on Burer-Monteiro factorization, called the Asymmetric Projected Gradient Descent (APGD), for reconstructing the point set ...

Location-driven applications continue to grow in complexity as businesses rely more heavily on real-time data, routing logic, and precise geospatial calculations. Whether it’s a delivery platform ...

Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...

Travel time is no longer just a number on a map-it's a core functionality driving user experience in everything from ride-hailing apps and logistics platforms to event planning... Travel time is no ...

Catch up with the latest innovations in Angular and other leading UI frameworks, get a head start on the new React compiler, and behold the new Rust-based JS tools from the creator of Vue. It’s all ...

Objectives: Underreporting of occupational diseases (ODs) could be attributed to poor medical accessibility, which is rarely discussed previously. Our cross-sectional study aims to evaluate how OD ...

Technology is increasingly taking a more critical role in the evolution of urban mobility. Cities worldwide are grappling with congestion, pollution, and inefficient transportation systems. As urban ...

KEYWORDS: Vehicle Routing Problem (VRP), Google Maps Distance Matrix API, Python, Pulp, Mixed Integer Linear Programming, Transportation, Optimisation Problem, Time Window, Mathematical Modelling ...

The Distance Priority Algorithm compares the location of the shipping destination address with source locations to determine the closest source to fulfill shipments. The distance may be determined by ...