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 intractability (NP-completeness) .

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 ...

Robert E. Jensen, A Dynamic Programming Algorithm for Cluster Analysis, Operations Research, Vol. 17, No. 6 (Nov. - Dec., 1969), pp. 1034-1057 Free online reading for over 10 million articles Save and ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. ... Some of the concepts covered are hard/impossible ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. ... Some of the concepts covered are hard/impossible ...

Stochastic gradient algorithm; Q-learning and temporal differences; Policy gradient; Actor-critic algorithm; Value function approximation and Monte-Carlo sampling (time permitting) Materials. Warren B ...

This is a graduate course on algorithms. We will focus on studying basic algorithms at a finer level of detail and more advanced algorithms and data structures “Concrete” Mathematics: Solving ...