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) .

The author introduces some basic dynamic programming techniques, using examples, with the help of the computer algebra system Maple. The emphasis is on building confidence and intuition for the ...

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 ...