It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...

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 ...

Since the DLR acts as a layer on top of the CLR, dynamic languages that leverage the DLR will have full access to .NET programming libraries written in other languages like C#. Dynamic languages ...