Two key trends are shaping the teaching of programming to the next generation of computing engineers at present. The first is ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Abstract: In this study, a novel optimal tracker is developed for the linear quadratic tracking (LQT) problem using an output–feedback adaptive dynamic programming (ADP) framework. By leveraging the ...

The DSA Java section currently lacks problems on Dynamic Programming (DP) — one of the most important topics for competitive programming and interviews. This issue aims to add essential DP problems, ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Abstract: This letter studies the problem of prescribed-time stabilization for a class of uncertain nonlinear systems by adaptive dynamic programming. The results of this letter depend on the special ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...