Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased to announce the release of Gurobi 13.0.
Abstract: To improve the stability and adaptive ability of underwater robots in dynamic environments, this paper proposes a non-singular terminal sliding mode control method (NTSMC) combining ...
In today's volatile business landscape, relying on sporadic flashes of inspiration can be a fragile strategy for maintaining ...
Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...
Abstract: This paper presents a comparative evaluation of the performance and training time of ten nonlinear regression algorithms. The primary objective of this analysis was to identify the optimal ...