basic definition of probability, independence of events, probability distributions and expectations. CLRS has a helpful appendix but the student unfamiliar with these concepts can find numerous high ...

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 ...

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 ...

The students are encouraged to think and use their acquired knowledge of algorithms in practical and highly applicable programming exercises. The Dynamic Programming and Optimal Control class focuses ...

This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...