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 ...

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 ...

The practice of offering discounts to prospective customers represents a rudimentary form of using transaction history measures to customize the marketing mix. Furthermore, the proliferation of ...

Mathematics of Operations Research publishes articles concerned with mathematical and computational foundations of operations research, including optimization, mathematical and dynamic programming, ...

In addition to other methods we’ve discussed, a third type of variable spending model uses dynamic programming methods. These methods rely on complex computing power and mathematical equations to ...

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 ...