Abstract: The phase-only null beamforming synthesis plays an important role in suppressing interference within radar systems. This problem poses a challenge as it involves nonconvex constraints, ...

Abstract: Nonconvex optimization issues are prevalent in machine learning and data science. While gradient-based optimization algorithms can rapidly converge and are dimension-independent, they may, ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...