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) .

IEMS 469: Dynamic Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Basic knowledge of probability (random variables, expectation, conditional probability), optimization (gradient), ...

F. Polimeno, T. Rehman, H. Neal, C. M. Yates, Integrating the use of Linear and Dynamic Programming Methods for Diary Cow Diet Formulation, The Journal of the ...