In the course of their work statisticians are frequently called on to make the acquaintance of, and possible to use, techniques from other fields, such as operational research. One such technique is ...

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 programming algorithms are developed for optimal capital allocation subject to budget constraints. We extend the work of Weingartner [17] and Weingartner and Ness [19] by including multilevel ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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 ...

A well-established mathematical algorithm known as dynamic programming, combined with advances in personal computing power, now allows straightforward optimization of fixed-bed catalyst life strategy.

Microsoft has unveiled a new Dynamic Language Runtime (DLR) layer for the .NET development platform. Designed to simplify the process of bringing support for additional dynamic languages to .NET, the ...