In particular, RNA folding – a classic application of dynamic programming – utilises recurrence relations to predict the most stable secondary structures based on base-pair interactions.

We present a novel linear program for the approximation of the dynamic programming cost-to-go function in high-dimensional stochastic control problems. LP approaches to approximate DP have typically ...

Daniel R. Jiang, Warren B. Powell, An Approximate Dynamic Programming Algorithm for Monotone Value Functions, Operations Research, Vol. 63, No. 6 (November-December 2015), pp. 1489-1511 ...

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

When enabled by flexible AI programming languages, quantum computing performs AI calculations much faster, and at a greater scale.

CSCA 5414: Dynamic Programming, Greedy Algorithms CSCA 5414: Dynamic Programming, Greedy Algorithms Get a head start on program admission Preview this course in the non-credit experience today! Start ...

Description: Focuses on the application of the tools of dynamic optimization to problems in economics. Covers continuous-time and discrete-time dynamic optimization techniques, including the calculus ...

Dynamic pricing for network revenue management has received considerable attention in research and practice. Based on data obtained from a major hotel, we use a large-scale numerical study to compare ...