and the tracking performance of the GSP RLS algorithm turns weak after signal mutation. To solve the mentioned problems, we focus on the data-reuse strategy, aiming to improve the convergence/tracking ...

An intensive laboratory activity will complement the lectures. Students will experiment with algorithms and data structures by writing their own implementations or by using third-party libraries. The ...

Subject-specific Skills: On completion of the module, students will be able to demonstrate: an ability to implement and use common data structures an ability to select, apply and analyse algorithms.

Generic single-file implementations of AVL tree in C and C++ suitable for deeply embedded systems. There is little activity because the project is finished.

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

The course provides a review of data structures such as stacks, trees, graphs, hash tables and priority queues, as well as algorithms for sorting, searching, insertion, and so on. Various ...

Having an agile and smarter pricing approach, however, requires a firm foundation in clean data practices, precise measurement practices, and models that support prediction capabilities. In this ...