Matrix polynomials and moment problems are significant areas of study in mathematics, particularly in the fields of control theory, numerical analysis, and probability.

Matrix splitting iteration methods have emerged as potent tools in addressing complementarity problems, which frequently arise in optimisation, economics and engineering applications.

Researchers at Facebook and Tel Aviv University developed a machine learning model that generates answers to a cognitive test.

In application, we discuss the different pencils arising in continuous-time linear quadratic optimal control problems, discrete-time linear quadratic optimal control, and port-Hamiltonian descriptor ...