Algorithmic complexity, a cornerstone of theoretical computer science, examines the intrinsic resource requirements of computational problems and the limits of what can be efficiently computed. Within ...

Classes of set functions defined by the positivity or negativity of the higher-order derivatives of their pseudo-Boolean polynomial representations generalize those of monotone, supermodular, and ...

Stochastic analysis provides a robust framework for studying phenomena where chance and uncertainty play a pivotal role. In the context of random polynomials, these methods enable researchers to ...