From planning transportation networks to organizing massive datasets, many of society's most important challenges boil down ...

The rapid proliferation of autonomous robotic systems, from UAV swarms and warehouse fleets to humanoid robots, has placed multi-agent coordination at the ...

A thread posted July 15 on the r/math subreddit claims that OpenAI’s GPT-5.6, guided by a carefully constructed prompt, produced a formal mathematical proof that closes a gap in convex optimization ...

Note: The official name for the course is “Convex optimization for electrical engineering”. However, the course is suitable for any student within SEAS (or beyond) provided you satisfy the math ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Abstract: In this article, a class of decentralized approximate Newton (DEAN) methods for addressing convex optimization on a networked system is developed, where nodes in the networked system seek a ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...

Understanding human memory has been a long-standing problem in various scientific disciplines. Early works focused on characterizing human memory using small-scale controlled experiments and these ...

STLCCP is an efficient convex-concave procedure (CCP)-based framework that can effectively solve control problems for any STL specifications. STLCCP leverages several structures of STL. The advantage ...