Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...

Today's large language models tend to have large parameters, and consumer-grade computers are slow to do simple inference, let alone train a model from scratch. The goal of this project is to organize ...

Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.