3 papers
math.NA2026
Algebraic Multigrid with Filtering: An Efficient Preconditioner for Interior Point Methods in Large-Scale Contact Mechanics Optimization
Socratis Petrides, Tucker Hartland, Tzanio Kolev +6
Large-scale contact mechanics simulations are crucial in many engineering fields such as structural design and manufacturing. In the frictionless case, contact can be modeled by mi…
math.NA2025
A Constrained Multi-Fidelity Bayesian Optimization Method
Jingyi Wang, Nai-Yuan Chiang, Tucker Hartland +3
Recently, multi-fidelity Bayesian optimization (MFBO) has been successfully applied to many engineering design optimization problems, where the cost of high-fidelity simulations an…
eess.SY2025
IRS Assisted Decentralized Learning for Wideband Spectrum Sensing
Sicheng Liu, Qun Wang, Zhuwei Qin +3
The increasing demand for reliable connectivity in industrial environments necessitates effective spectrum utilization strategies, especially in the context of shared spectrum band…