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 ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to ... Fast Fourier Transforms (FFT), a ...

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 ...

Describe basic algorithm design techniques. Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers ...

COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of Competitive Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS 336 or Permission of Instructor ... This course examines ...

Frequently used techniques include dynamic programming, reductions, stringology, ... Veli Mäkinen co-authored a textbook on Genome-scale Algorithm Design: Bioinformatics in the Era of High-Throughput ...