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 ...

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

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 ...

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 ...

Jeremy Johnson: Computer algebra, design and analysis of algorithms, programming languages and compilers, automated performance tuning, algorithms for DSP, parallel processing, and high-performance ...