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 ...

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 ...

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 ...

Newsrooms around the country use code to expand their reporting, create alternative storytelling formats and engage audiences in new ways. Opportunities to enhance newsgathering and publishing with ...

The last part of the Embedded Systems programming discuss about interrupt processing and the alternative process of polling. It briefly describes interrupts and polling, as well as the interrupt ...

Dynamic documents can transform how organizations create, share and deliver information. Jake Sorofman, senior VP of marketing and business development for JustSystems, talks about the emergence of ...