This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

dynamic programming, network flows, reductions, and randomized algorithms. Important themes that will be developed in the course include the algorithmic abstraction-design-analysis process and ...

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 ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms ... divide and conquer algorithm that has wide applications in data analysis. FFT ...