This paper is concerned with a new discrete-time policy iteration adaptive dynamic programming (ADP) method for solving the infinite horizon optimal control problem of nonlinear systems. The idea is ...

With the observation that many genomics kernels are dominated by dynamic programming (DP) algorithms, this paper presents GenDP, a framework of dynamic programming acceleration including DPAx, a DP ...

Finally, we develop an iterative algorithm for constructing the incidence matrix. We demonstrate a proof of correctness for algorithms with two nested loops, using mathematical induction. For the ...

Article citations More>> Cheng, D. (2019) From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems. Elsevier. has been cited by the following article: TITLE: Solution of the Matrix ...

In this study, a novel general impulsive transition matrix is defined, which can reveal the transition dynamics and probability distribution evolution patterns for all system states between two ...

The dynamic verification of the optimisation algorithm is conducted through a series of scenarios designed to examine its adaptability and performance under diverse operating conditions of the IES ...

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 ...

Learn how to use dynamic programming algorithms for string matching in two data structures: matrix and graph. Find patterns in texts with multiple dimensions.

Comparative sequence analysis, support vector machine, centroid method, and other algorithms in RNA secondary structure prediction algorithms often use dynamic programming algorithm to predict RNA ...