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) .

MATH.2720 — Undergraduate Id: 038929 Offering: 1 Credits: 3-3 Description This course will introduce basic programming concepts using MATLAB as the programming environment. Topics include an ...

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

Dynamic programming algorithms are developed for optimal capital allocation subject to budget constraints. We extend the work of Weingartner [17] and Weingartner and Ness [19] by including multilevel ...

Richard M. Karp, Michael Held, Finite-State Processes and Dynamic Programming, SIAM Journal on Applied Mathematics, Vol. 15, No. 3 (May, 1967), pp. 693-718 ...

Microsoft has unveiled a new Dynamic Language Runtime (DLR) layer for the .NET development platform. Designed to simplify the process of bringing support for additional dynamic languages to .NET ...