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Abstract: To improve the ride comfort of an electrodynamic suspension (EDS) train on the Yamanashi test line, an optimization of the air-cored superconducting linear synchronous motor (SLSM) is ...

Abstract: Machine Learning (ML)-based optimization frameworks emerge as a promising technique for solving large-scale Mixed Integer Linear Programs (MILPs), as they can capture the mapping between ...

MapBuf is the new addition to the family of buffer insertion algorithms in Dynamatic that considers technology mapping and logic synthesis in the timing constraints. Compared to its siblings, who ...

Optimiz-rs provides blazingly fast, production-ready implementations of advanced optimization and statistical inference algorithms. Built with Rust for maximum performance and exposed to Python ...