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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results