Do yourself a favor and upgrade from what works to what works best.
This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
As expectations for refractive cataract surgery continue to rise, preoperative ocular surface optimization remains essential ...
Chinese AI company MiniMax has released the weights for MiniMax M2.7, a 229-billion-parameter Mixture-of-Experts model that participated in its own development cycle – marking what the company calls ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Buildings account for substantial global energy consumption, with heating, ventilation, and air conditioning (HVAC) systems as major contributors. We study the setpoint schedule optimization ...
ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...
Abstract: Although fixed-wing aircraft are renowned for their high speed and maneuverability, these strengths contribute to the complexity of trajectory optimization. In this paper, a trajectory ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results