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 ...

This paper develops a formalism within which the application of dynamic programming to discrete, deterministic problems is rigorously studied. The two central concepts underlying this development are ...

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

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 ...

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 ...

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