Do yourself a favor and upgrade from what works to what works best.
SMi Group reports: Alina Alexeenko of Purdue University presenting LyoHub's overview and strategies for the future of lyophilization and alternatives to conventional methods Optimization of ...
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 ...
Abstract: Trajectory optimization of electric vertical takeoff and landing (eVTOL) vehicles for urban air mobility (UAM) missions, such as passenger transportation and cargo delivery, has only been ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results