Consider-then-choose models, borne out by empirical literature in marketing and psychology, explain that customers choose among alternatives in two phases, by first screening products to decide which ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

– Improving productivity and maximizing profits by quickly responding to dynamically changing market conditions – This integrated solution is based on Yokogawa’s advanced process control technologies ...

NVidia's Denver architecture is implementing ARM's ARMv8 64-bit architecture from the ground up using techniques like dynamic code optimization. NVidia often takes an interesting approach with its ...