As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

New research from Meta reveals AI models achieve 34.5% better accuracy with shorter reasoning chains, challenging industry ...

Abstract: This paper describes experiences with mixed integer linear programming (MILP) based approaches on the short-term hydro scheduling (STHS) function. The STHS is used to determine the optimal ...

In the collaborative environment of the Penn State Institute for Computational and Data Sciences, John Harlim combines applied mathematics and data science to develop methods for more-accurate ...

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.